I'm looking for a job. I exported this list from FewerJobs.com - a curated job board.

Please:
1. Rank these jobs by fit for me, given my resume / skills.
2. Highlight the top 5 with a one-sentence rationale each.
3. Flag any concerns, including benefit values without source-backed evidence.
4. Suggest one or two filter changes I could make on FewerJobs to find more good matches.

Filters I applied:
- q: Thunder Compute
- quality_floor: default
- match_401k_strict: true
- parental_strict: true
- non_birth_strict: true
- pto_strict: true
- include_older: false
- verified_benefits_only: true
- apply_url_verified: false
- page: 1
- per_page: 100
- sort: relevance

Jobs (100 total):

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TITLE: Sr. Advanced Compute Specialist SA - National Security, National Security Specialists Solutions Architecture Team
EMPLOYER: Amazon
LOCATION: Arlington, Virginia, USA (unspecified)
SALARY: $154K-$208K
POSTED: 2026-04-23
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10401277/sr-advanced-compute-specialist-sa-national-security-national-security-specialists-solutions-architecture-team
EXCERPT: Sr. Advanced Compute Specialist SA - National Security, National Security Specialists Solutions Architecture Team Arlington, Virginia, USA Amazon Web Services is seeking an Advanced Computing Solutions Architect to support our Intelligence Community (IC), Department of Energy (DoE), and broader U.S. Federal Government customers. Are you excited to help U.S. Government customers leverage performant networks, computing nodes, and emerging technologies to solve the most important workloads in advanced computing? From high performance computing (HPC) and quantum computing to large-scale analytics, modeling, and simulation, this role sits at the forefront of next-generation compute. Thrilled to be a key part of Amazon, who has been investing in agile and elastic compute for decades, pioneering and shaping the world's technology? Come join us! Key job responsibilities Advanced computing is growing in importance as these systems are critical to the explosion of ML, AI, quantum research, and scientific discovery. We're seeing more and more amazing work being done from autonomous vehicles and imagery analysis to financial trading, logistics optimization, and quantum algorithm development. Given the scale required for advanced computing workloads, the cloud is an ideal place to deploy them, and Amazon Web Services (AWS) is the leader. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping U.S. Government customers understand how advanced computing, including HPC, quantum computing, and custom accelerators, can make a big difference to their mission. As an Advanced Computing Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing solutions
---
TITLE: Amazon Dedicated Cloud Engineer III, US ADC Compute Operations
EMPLOYER: Amazon
LOCATION: Jessup, Maryland, USA (unspecified)
SALARY: $155K-$210K
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10440058/amazon-dedicated-cloud-engineer-iii-us-adc-compute-operations
EXCERPT: Amazon Dedicated Cloud Engineer III, US ADC Compute Operations Jessup, Maryland, USA Would you like to help implement innovative cloud computing solutions and solve the world's most complex technical problems? Do you have a deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services is seeking top industry technical experts to grow our team dedicated to expanding our Elastic Compute Cloud (EC2) to government customers. We are seeking a talented engineer skilled in the art of integration who understands the Agile mindset and DevOps philosophies, yet is not constrained by how "things are usually done" and is willing to decompose and reinvent systems, processes, and tools. We're looking for a technical expert for one of the largest compute services on the planet; if you possess that rare mix of depth in Operations, Networking, and Systems Engineering then we are waiting for your application. Apply to meet our talented team and let's see if you are the one that can help us scale to meet the demand of our largest government customers! Become our leading expert on Amazon Web Services (AWS) Elastic Compute Cloud (EC2) products and services.You'll be part of a world-class team in a fast-paced environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by people who are smart, passionate
---
TITLE: Applied Scientist, Quantum Algorithms, Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-04-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10406284/applied-scientist-quantum-algorithms-center-for-quantum-computing
EXCERPT: Applied Scientist, Quantum Algorithms, Center for Quantum Computing Pasadena, California, USA The Quantum Algorithms Team at the Amazon Web Services (AWS) Center for Quantum Computing (CQC) is looking to hire an Applied Scientist. In this role, you will conduct theoretical research into applications of fault-tolerant quantum computers and develop new quantum algorithms. You will work on the forefront of quantum computing research and contribute toward the development of useful quantum technology, working alongside theoretical and experimental scientists, engineers, and technicians across the CQC. You should have a deep and broad knowledge of quantum algorithms and applications for fault-tolerant quantum computers, and standard mathematical and computational methods for analyzing them. Key job responsibilities We are looking to hire an Applied Scientist focused on developing algorithms and applications for fault-tolerant quantum computers. In this role, you will: - Collaborate with other members of the Quantum Algorithms Team and our academic collaborators, to analyze and optimize existing quantum algorithms - Think big to invent new quantum algorithms and discover new application areas for fault-tolerant quantum computers - Provide subject matter expertise on the topic of quantum algorithms, and communicate the latest developments to the broader quantum computing team - Work with internal and external stakeholders to strengthen the long-term value proposition of quantum computing - Interact with the Quantum Error Correction team to understand the interplay between quantum algorithms and quantum error correction - Publish research papers in scientific journals and present at conferences - Mentor research interns working on scientific projects You
---
TITLE: Senior Cloud Operations Engineer
EMPLOYER: Oracle
LOCATION: BENGALURU, KARNATAKA, India, IN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 14 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/328019/
EXCERPT: Senior Cloud Operations Engineer BENGALURU, KARNATAKA, India, IN At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Compute is one of the core organisations within OCI. We are responsible for providing Compute power i.e. VMs and BMs. Cloud pretty much cannot exists without our org. The Compute org comprises of a family of critical foundational infrastructure services that drive OCI's hardware lifecycle activities Work with product team on the shared full stack ownership of a collection of services and/or technology areas. Understand the end-to-end configuration, technical dependencies, and overall behavioural characteristics of production services. Responsible for the mitigating critical customer incidents, or deployments or testing required to improve security, performance, availability, and scalability of service. Authority for end-to-end performance and operability. Partner with development teams in meeting SLA to unblock customers. Articulate technical characteristics of services and technology areas and guide Development Teams to engineer and add premier capabilities to the Oracle Cloud service portfolio. Understand and communicate the scale, capacity, security, performance attributes, and requirements of the service and technology stack. Demonstrate clear understanding of automation and orchestration principles. Act as ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Utilise a deep understanding of service topology and their dependencies required
---
TITLE: ML Kernel Performance Engineer, Edge AI and Science
EMPLOYER: Amazon
LOCATION: Vancouver, British Columbia, CAN (unspecified)
SALARY: CAD 115K-192K
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10437525/ml-kernel-performance-engineer-edge-ai-and-science
EXCERPT: ML Kernel Performance Engineer, Edge AI and Science Vancouver, British Columbia, CAN Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform and custom neural accelerator silicon. Within Edge AI & Science, the AI Platform team builds a compression platform-the first of its kind-enabling 20-100x neural network compression for edge and cloud deployment. As model sizes grow from billions to hundreds of billions of parameters, compute efficiency becomes the single largest return on engineering investment during training. The gap between eager-mode Python and optimized GPU execution is where months of training time are won or lost. We are looking for an ML Kernel Performance Engineer to work at the hardware-software boundary of this platform, crafting high-performance CUDA and Triton kernels that make our compression algorithms run at peak efficiency during training, fine-tuning, and inference. You will build the tooling and kernel libraries that democratize GPU performance optimization across the team, enabling scientists and engineers to profile, diagnose, and fix kernel bottlenecks without needing to be CUDA experts themselves. Working alongside compression scientists and platform engineers, you will ensure that novel quantization schemes (ternary, nonary, mixed-precision) and sparse computation patterns translate into real throughput gains on GPU hardware. Your work will directly accelerate every training run in the organization and unlock deployment of compressed
---
TITLE: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-08-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3059766/sr-asic-design-engineer-cloud-scale-machine-learning-acceleration-team
EXCERPT: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team Austin, Texas, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting,
---
TITLE: Senior Systems Engineer
EMPLOYER: Oracle
LOCATION: BENGALURU, KARNATAKA, India, IN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
PARENTAL_LEAVE_WEEKS: 14 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/334285/
EXCERPT: Senior Systems Engineer BENGALURU, KARNATAKA, India, IN At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Compute is one of the core organisations within OCI. We are responsible for providing Compute power i.e. VMs and BMs. Cloud pretty much cannot exists without our org. The Compute org comprises of a family of critical foundational infrastructure services that drive OCI's hardware lifecycle activities Work with product team on the shared full stack ownership of a collection of services and/or technology areas. Understand the end-to-end configuration, technical dependencies, and overall behavioural characteristics of production services. Responsible for the mitigating critical customer incidents, or deployments or testing required to improve security, performance, availability, and scalability of service. Authority for end-to-end performance and operability. Partner with development teams in meeting SLA to unblock customers. Articulate technical characteristics of services and technology areas and guide Development Teams to engineer and add premier capabilities to the Oracle Cloud service portfolio. Understand and communicate the scale, capacity, security, performance attributes, and requirements of the service and technology stack. Demonstrate clear understanding of automation and orchestration principles. Act as ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Utilise a deep understanding of service topology and their dependencies required to
---
TITLE: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-12-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3149763/sr-asic-design-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
EXCERPT: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is
---
TITLE: ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $157K-$213K
POSTED: 2026-05-26
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10430432/asic-engineer-ii-cloud-scale-machine-learning-acceleration-team
EXCERPT: ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team Cupertino, California, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't
---
TITLE: Computer Scientist ( Python )
EMPLOYER: Adobe Inc.
LOCATION: Bangalore (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Advanced-Analytics---Reporting-Analyst_R167740-1
EXCERPT: Computer Scientist ( Python ) Bangalore posted: Posted Today
---
TITLE: Computer Vision AI/ML Engineer
EMPLOYER: Leidos
LOCATION: Huntsville, AL (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/Huntsville-AL/Computer-Vision-AI-ML-Engineer_R-00177556
EXCERPT: Computer Vision AI/ML Engineer Huntsville, AL posted: Posted 30+ Days Ago
---
TITLE: ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2026-03-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10378255/ml-kernel-performance-engineer-aws-neuron-annapurna-labs
EXCERPT: ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the
---
TITLE: Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-03-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/2925690/sr-sde-mla-hardware-software-co-design-annapurna-labs-machine-learning-acceleration
EXCERPT: Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us! As a senior SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build and test our next generation AI chips. You will write bare-metal software and ML workloads to verify the end-to-end functionality and performance of the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC)
---
TITLE: Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
POSTED: 2025-08-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3059992/sr-ml-kernel-performance-engineer-aws-neuron-annapurna-labs
EXCERPT: Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at
---
TITLE: Systems Engineer, AWS
EMPLOYER: Amazon
LOCATION: Thames Valley, Berkshire, GBR (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-22
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10427900/systems-engineer-aws
EXCERPT: Systems Engineer, AWS Thames Valley, Berkshire, GBR Would you like to help implement innovative cloud computing solutions and solve the most complex technical problems? Are you excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. With AWS, customers provision compute power, storage, database, and other cloud resources as their business demands them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation. If you join us, you'll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain world class experience in cloud computing. You'll be surrounded by people who are passionate about cloud computing, believe that first class service is critical to customer success, and are committed to improvement. AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of
---
TITLE: Big Data Platform & Distributed Systems (Mid/Senior/Lead/Principal)
EMPLOYER: Salesforce
LOCATION: Washington - Bellevue (unspecified)
SALARY: $117K-$314K
POSTED: 2026-05-21
PARENTAL_LEAVE_WEEKS: 26 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.salesforce.com/en/jobs/jr304406/big-data-platform-distributed-systems-midseniorleadprincipal/
EXCERPT: Big Data Platform & Distributed Systems (Mid/Senior/Lead/Principal) Washington - Bellevue About the Teams: By applying to this role, you will be considered for two mission-critical teams at the heart of our data strategy. Both teams operate at extreme scale, leveraging Public Cloud (AWS/GCP) and Kubernetes to power the next generation of data-driven intelligence. Pillar 1: Data Engineering & Observability Build and own large-scale data pipelines and observability systems that power metrics, logging, and real-time insights across services. This role focuses on designing reliable telemetry pipelines, improving monitoring and alerting, and ensuring data quality and system visibility at scale. Ideal candidates have strong distributed systems fundamentals, backend development experience (Java or similar), and experience operating high-throughput data or monitoring platforms in cloud or hybrid environments. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Pillar 2: Data Cloud. Big Data Compute platform team. Owns the compute infrastructure that powers large-scale Spark workloads. The team focuses on optimizing core Spark performance, solving distributed systems challenges, and building scalable AI infrastructure, including exploring efficient ways to run smaller language models. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate
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TITLE: Computer Scientist II
EMPLOYER: Adobe Inc.
LOCATION: Bangalore (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Computer-Scientist-II_R167612
EXCERPT: Computer Scientist II Bangalore posted: Posted 30+ Days Ago
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TITLE: Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2026-04-01
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10381654/cloud-hardware-dev-engineer-aws-generative-ai-ml-servers-aws-generative-ai-ml-servers
EXCERPT: Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers Seattle, Washington, USA Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job
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TITLE: Senior ML Kernel Performance Engineer
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 151K-252K
POSTED: 2025-08-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3059954/senior-ml-kernel-performance-engineer
EXCERPT: Senior ML Kernel Performance Engineer Toronto, Ontario, CAN The Annapurna Labs team at Amazon builds Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for Amazon's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The Amazon Neuron SDK, developed by the Annapurna Labs team at Amazon, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed
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TITLE: Applied Science Manager, Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: San Francisco, California, USA (unspecified)
SALARY: $211K-$286K
POSTED: 2026-04-23
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10401537/applied-science-manager-center-for-quantum-computing
EXCERPT: Applied Science Manager, Center for Quantum Computing San Francisco, California, USA Do you want to make an impact on quantum computing hardware development through computational science and engineering? Do you thrive when working with scientists and engineers from diverse backgrounds in a multidisciplinary environment? The Amazon Center for Quantum Computing (CQC) is seeking to hire an Applied Science Manager to innovate in physical design and simulation methods, and develop the software stack used to design superconducting quantum computers. In this role, you will lead a team developing scientific software for quantum electronic design automation. The ideal candidate is expected to advance the state of the art for computational science in service of realizing a fault-tolerant quantum computer. Key job responsibilities - Hire and develop Applied Scientists that build physical design and simulation software - Partner with science teams to understand needs and drive adoption of improved methods and tooling - Influence engineering team development priorities in high-performance computing infrastructure - Manage tactical and strategic initiatives with scientific projects pursued within team - Enable creative and innovative experimentation while striving for operational excellence About the team The Amazon Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer. Inclusive Team Culture Here at Amazon, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our
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TITLE: Computer Scientist I (Android)
EMPLOYER: Adobe Inc.
LOCATION: Bangalore (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Computer-Scientist-I_R169085
EXCERPT: Computer Scientist I (Android) Bangalore posted: Posted 4 Days Ago
---
TITLE: Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $213K-$288K
POSTED: 2025-09-03
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3072218/software-engineering-manager-ml-kernel-performance-aws-neuron-annapurna-labs
EXCERPT: Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products
---
TITLE: Senior Power and Performance Architect, Annapurna Labs, Machine Learning Hardware
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $183K-$248K
POSTED: 2026-01-28
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3168925/senior-power-and-performance-architect-annapurna-labs-machine-learning-hardware
EXCERPT: Senior Power and Performance Architect, Annapurna Labs, Machine Learning Hardware Cupertino, California, USA AWS Utility Computing (UC) provides product Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. We are seeking an experienced Power Architect to join our Machine Learning Acceleration team. In this role, you will be responsible for developing and implementing power architecture solutions, optimizing power consumption, and managing thermal constraints for ML accelerator designs in Amazon data centers. You will work closely with cross-functional teams to deliver innovative power management solutions that maximize performance while maintaining power efficiency. This position requires a combination of technical expertise and leadership skills, with a focus on delivering innovative power solutions for machine learning acceleration platforms. The ideal candidate will have a proven track record of developing power architecture solutions and the ability to lead teams in delivering customer-focused results. Key job responsibilities - Design and implement comprehensive power architecture solutions for ML accelerator platforms - Develop and optimize DVFS (Dynamic Voltage and Frequency Scaling) flows and power control schemes - Create and validate power management algorithms for various operating conditions - Lead peak power management initiatives and develop solutions for di/dt handling - Analyze and optimize workloads
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TITLE: Software Development Engineer II - FinTech, FinTech
EMPLOYER: Amazon
LOCATION: Hyderabad, Telangana, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10417622/software-development-engineer-ii-fintech-fintech
EXCERPT: Software Development Engineer II - FinTech, FinTech Hyderabad, Telangana, IND Enabling Amazon's explosive growth requires top talent in our Finance Technology (FinTech) organization. FinTech is seeking a Software Development Engineer to be a part of Thunder team. At FinTech we ingest millions of transactions and pay out billions of dollars to our vendors. Hence, we put compliance as a critical tenant in all the software we build and operate. We work with business teams to identify fraud opportunities and design controls to remediate the risk. We spot suspicious payment activities and flag them for further review. As a software engineer in Thunder team you need to have high situational awareness, attention to detail and agility. The solutions you develop must scale for millions of transactions and also be highly secure since we deal with personally identifiable information. As part of this role you will also be responsible for building the next generation duplicate detection system. You will ensure highest controller ship while also delight customers by learning from the user feedback. The tool will evolve and to this end you will use AWS services and ML models. We are looking for candidates with 1. 4+ years of industry experience and an engineering degree in Computer Science or its equivalent 2. Flare to innovate with experience in Scala, Java or any object oriented programming language. 3. Demonstrated experience in SQL and data modeling in relational databases 4. Strong problem-solving skills and attention to detail. 5. Knowledge on data structures and algorithms
---
TITLE: Senior Computer Scientist
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Senior-Computer-Scientist_R167564
EXCERPT: Senior Computer Scientist Noida posted: Posted Today
---
TITLE: Computer Scientist
EMPLOYER: Leidos
LOCATION: Honolulu, HI (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/Honolulu-HI/Computer-Scientist_R-00180962-1
EXCERPT: Computer Scientist Honolulu, HI posted: Posted 30+ Days Ago
---
TITLE: Computer Scientist - II
EMPLOYER: Adobe Inc.
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist---II_R169729
EXCERPT: Computer Scientist - II 2 Locations posted: Posted Today
---
TITLE: Computer Scientist-I
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-20
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-I_R167521
EXCERPT: Computer Scientist-I Noida posted: Posted 23 Days Ago
---
TITLE: SCA Computer Support 10jobs
EMPLOYER: Leidos
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.leidos.com/search/category/sca-computer-support/jobs
EXCERPT: SCA Computer Support 10jobs Location not specified
---
TITLE: Computer Based Training Specialist (Computer Based Training)
EMPLOYER: The Boeing Company
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://boeing.wd1.myworkdayjobs.com/External_Careers/job/USA---Maryland-Heights-MO/Computer-Based-Training-Specialist--Computer-Based-Training-_JR2026513245-1
EXCERPT: Computer Based Training Specialist (Computer Based Training) 2 Locations posted: Posted Yesterday
---
TITLE: Staff SWE, Compiler Architect, System Performance Modeling
EMPLOYER: Google
LOCATION: Sunnyvale, CA, USA; +3 more (unspecified)
SALARY: $207K-$301K
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckRkz2Qzy4gTxk2753IkKblgZzTa-1Rr9ycGr95aO7cpKEjsACxwdTBCUAU3CXiXtkpTNHhqpwOk3tk3TqI3dESBPQJdCbwbvG4st4QdtqsGmujiav4kdmbVPlig_NQ%3D%3D_V2&loc=US&title=Staff+SWE
EXCERPT: Staff SWE, Compiler Architect, System Performance Modeling Sunnyvale, CA, USA; +3 more Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models. Our team is pioneering next-generation performance modeling and simulation technologies that drive multi-year system architecture roadmaps for cutting-edge machine learning accelerators. We are looking for a visionary technical lead to define and own the accuracy and fidelity of our critical co-design simulation platform. Help work on the most complex system-level performance challenges in close collaboration with hardware designers, ML researchers, and product architects, defining the next decade of AI systems at data center scale. If you are excited about building the most powerful ML systems with HW-SW co-design and optimization, please join us and accomplish the missions together. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power
---
TITLE: Computer Scientist
EMPLOYER: Adobe Inc.
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Computer-Scientist_R167735
EXCERPT: Computer Scientist 2 Locations posted: Posted 30+ Days Ago
---
TITLE: Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $185K-$250K
POSTED: 2025-12-10
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3140960/software-development-manager-ml-accelerators-aws-neuron-annapurna-labs
EXCERPT: Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs Seattle, Washington, USA AWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler. The SDK natively integrates into popular ML frameworks, such as PyTorch, JAX and TensorFlow. AWS Neuron is widely adopted by many internal and external customers and partners. Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations. We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history: https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success We are seeking an exceptional Software Engineering Manager to lead portion of our Deep-Learning Backend Compiler team at AWS Neuron. You will manage a team of talented compiler engineers focused on machine learning compiler design and development. In this role, you will drive the design and implementation of ML compiler solutions, develop advanced optimization techniques, lead hardware bring-up for next-generation chips, and influence pre-silicon design decisions while mentoring your team. This position offers the opportunity to directly impact AWS's machine learning infrastructure and accelerate the delivery of innovative
---
TITLE: Computer Scientist - II
EMPLOYER: Adobe Inc.
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist---II_R169545-1
EXCERPT: Computer Scientist - II 2 Locations posted: Posted Yesterday
---
TITLE: Senior Software Engineer, Machine Learning, Google Cloud Compute
EMPLOYER: Google
LOCATION: Sunnyvale, CA, USA; +1 more (unspecified)
SALARY: $174K-$253K
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckX1IR_YGe9SWXODuWwLbI6Z4C9AUNUmVi7YMYwm_BBDPEjsAvkGZmyazWfF3q_thsOFRc0GVXRN8fHD5MwwNuCcexylWfoVAX6z52uFY2X3pN_LnCW1PgG84EihuBA%3D%3D_V2&loc=US&title=Senior+Software+Engineer
EXCERPT: Senior Software Engineer, Machine Learning, Google Cloud Compute Sunnyvale, CA, USA; +1 more Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15%
---
TITLE: Sr Computer Scientist
EMPLOYER: Adobe Inc.
LOCATION: Bangalore (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Sr-Computer-Scientist_R167171
EXCERPT: Sr Computer Scientist Bangalore posted: Posted 30+ Days Ago
---
TITLE: Principal Machine Learning Engineer - Evisort AI
EMPLOYER: Workday, Inc.
LOCATION: 6 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer---Evisort-AI_JR-0098981
EXCERPT: Principal Machine Learning Engineer - Evisort AI 6 Locations posted: Posted 2 Days Ago
---
TITLE: Computer Scientist 1
EMPLOYER: Adobe Inc.
LOCATION: Bangalore (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Computer-Scientist-1_R168232-1
EXCERPT: Computer Scientist 1 Bangalore posted: Posted 29 Days Ago
---
TITLE: Software Dev Engineer, Amazon Athena, Serverless Compute
EMPLOYER: Amazon
LOCATION: Bellevue, Washington, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-05-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10435068/software-dev-engineer-amazon-athena-serverless-compute
EXCERPT: Software Dev Engineer, Amazon Athena, Serverless Compute Bellevue, Washington, USA Want to help define the future of serverless compute and make it effortless for customers to run petabyte-scale analytics workloads without managing infrastructure? Come join the Serverless Analytics Compute team in Amazon Athena! We are building the compute orchestration platform that powers Amazon Athena today - and will power other analytics services tomorrow. Our platform abstracts away the complexity of provisioning, scaling, and managing distributed compute workers so customers get instant, elastic capacity without ever thinking about servers, clusters, or fleet management. We are building to manage millions of compute workers across multiple capacity providers, delivering instant compute for analytics workloads at massive scale. In this role, you will have the opportunity to collaborate with senior and principal engineers who are domain experts at AWS. You'll develop deep expertise in areas like distributed systems, serverless compute orchestration, sub-second worker startup, multi-tenant resource isolation, and operational excellence at scale. You'll contribute to platform services that underpin some of AWS's highest-scale analytics offerings. You will enjoy competitive compensation and your contributions in this role will impact customers and businesses around the world. Key job responsibilities You'll be responsible for designing, developing, testing and deploying some of our most strategic technical projects. You'll deliver large-scale, high-performance production systems, design new software systems of distributed technology, and have a significant bottom-line impact on our business results. You will draw from your deep and broad technical expertise to mentor engineers, complete hands-on technical work and
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TITLE: 2026 University Graduate - Machine Learning Engineer
EMPLOYER: Adobe Inc.
LOCATION: Seattle (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/XMLNAME-2026-University-Graduate---Machine-Learning-Engineer_R160133
EXCERPT: 2026 University Graduate - Machine Learning Engineer Seattle posted: Posted 30+ Days Ago
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TITLE: Senior Specialist Solutions Architect, End User Computing, End User Computing
EMPLOYER: Amazon
LOCATION: Oslo, Oslo, NOR (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-22
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10427947/senior-specialist-solutions-architect-end-user-computing-end-user-computing
EXCERPT: Senior Specialist Solutions Architect, End User Computing, End User Computing Oslo, Oslo, NOR Do you like helping customers implement innovative cloud computing solutions and solve technical problems? Would you like to do this using the latest cloud computing technologies? Do you have a knack for helping groups understand application architectures and integration approaches? Do you have the consultative and leadership skills to help customers succeed with their cloud efforts? Are you passionate about cloud computing with a special focus on virtualized desktops, applications, and document collaboration? Amazon Web Services is looking for Solutions Architects to help establish AWS Agentic WorkSpaces (formerly known as Amazon End User Computing) as the market leader in end user computing. We built AWS Agentic WorkSpaces services to give customers the agility to respond to the changing needs of their workforce. Customers can scale up or scale down on-demand, providing users with the resources they need, all without deploying and operating infrastructure. This is a highly technical position for someone who can dive deep, build complex, AWS-optimized architectures, and help customers accelerate their adoption of AWS services. Your broad responsibilities include: owning the technical engagement and ultimate success around specific implementation projects. You should be as comfortable discussing complex technical details with a room full of engineers as you are briefing an executive audience. In addition, you will engage with other AWS solutions architects, partner and professional services organizations to drive large and highly complex sales opportunities to closure. The AWS Agentic WorkSpaces SA team is
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TITLE: Senior AI Cloud Operations Engineer
EMPLOYER: Analog Devices
LOCATION: Ireland, Limerick (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://analogdevices.wd1.myworkdayjobs.com/External/job/Ireland-Limerick/Senior-AI-Cloud-Operations-Engineer_R258350
EXCERPT: Senior AI Cloud Operations Engineer Ireland, Limerick posted: Posted 30+ Days Ago
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TITLE: SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $136K-$184K
POSTED: 2026-01-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3152739/sde-mla-hardware-software-co-design-annapurna-labs-machine-learning-acceleration
EXCERPT: SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build new silicon functionality. You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of
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TITLE: Robotics Computer Engineer
EMPLOYER: Leidos
LOCATION: Huntsville, AL (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/Huntsville-AL/Robotics-Computer-Engineer_R-00183762
EXCERPT: Robotics Computer Engineer Huntsville, AL posted: Posted 11 Days Ago
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TITLE: Senior Worldwide Partner GTM Specialist - HPC, Core and Advanced Compute
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $148K-$200K
POSTED: 2026-04-13
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10390082/senior-worldwide-partner-gtm-specialist-hpc-core-and-advanced-compute
EXCERPT: Senior Worldwide Partner GTM Specialist - HPC, Core and Advanced Compute Seattle, Washington, USA Are you passionate about cloud computing and its potential to overcome some of the biggest challenges in High Performance Computing (HPC)? Are you ready to pioneer new partner GTM motions to unlock the next wave of cloud computing and AI? Are you a bridge-builder who deploys innovative solutions with partners? Amazon Web Services (AWS) is seeking a Senior Worldwide Partner GTM Specialist to lead GTM engagement with our most strategic HPC partners. You'll work with the world's most innovative companies across domains including physics augmented CAE, financial modeling, and semiconductor EDA - helping them envision and build the future of high-performance computing. Your GTM insights will shape how partners transform their businesses for the AI era. AWS GTM Specialists are business problem solvers with deep domain-specific expertise, able to execute advanced campaigns. As part of the AWS Worldwide Specialist Organization, GTM specialists with partners who have strategic potential that require expert-level knowledge to unlock. GTM Specialists craft scalable GTM motions that address the most strategic growth opportunities across industries and workloads. If you're excited about being at the forefront of HPC and want to make a lasting impact on how businesses combine physical AI, agentic approaches, and HPC - this role offers you the platform, the resources, and the opportunity to shape the future. Key job responsibilities In this role, you will own GTM strategy for AWS's HPC partners, working at the intersection of technology and
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TITLE: Sr. Computer Scientist
EMPLOYER: Leidos
LOCATION: Honolulu, HI (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/Honolulu-HI/Computer-Scientist_R-00180956
EXCERPT: Sr. Computer Scientist Honolulu, HI posted: Posted 30+ Days Ago
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TITLE: Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $151K-$262K
POSTED: 2025-11-03
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3120217/sr-firmware-engineer-annapurna-labs-machine-learning-acceleration-power-and-performance
EXCERPT: Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance Austin, Texas, USA AWS Utility Computing (UC) provides product Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. We are seeking a Senior Firmware Engineer to join our Power Architecture team, developing firmware algorithms for power and performance management on ML Acceleration Chips. In this role, you will design and implement intelligent control algorithms, optimization strategies, and real-time decision-making systems that maximize performance while managing power and thermal constraints. You will develop sophisticated firmware that monitors system state, makes dynamic trade-offs between power and performance, and implements adaptive control policies. To enable this work, you will also build instrumentation and tracing capabilities that provide the telemetry needed to develop, tune, and validate your algorithms, with collected data optionally post-processed using cloud-based analytics. Key job responsibilities - Design and implement firmware algorithms for power management, thermal control, and performance optimization on ML acceleration hardware - Develop real-time control policies and state machines that dynamically balance power, thermal, and performance constraints - Create optimization algorithms for resource allocation, frequency/voltage scaling, and workload scheduling - Implement efficient data structures and algorithms suitable for embedded, resource-constrained environments - Design
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TITLE: Computer Scientist Associate
EMPLOYER: Leidos
LOCATION: Honolulu, HI (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/Honolulu-HI/Computer-Scientist-Associate_R-00180968
EXCERPT: Computer Scientist Associate Honolulu, HI posted: Posted 30+ Days Ago
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TITLE: AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $136K-$184K
POSTED: 2026-03-19
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10370980/ai-hardware-systems-engineer-annapurna-labs-trainium-machine-learning-fleet-operations
EXCERPT: AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations Austin, Texas, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Acceleration Fleet Operations Team is looking for candidates interested in diving deep into our fleet of ML servers deployed around the world. We are seeking an engineer who is comfortable debugging emergent problems in GPU and server hardware, writing scripts in languages such as Python or Bash, running large scale experiments on a fleet of complex hardware, developing data infrastructure and analyzing trends, and developing automation software to scale operations. Our team has end to end ownership of some of the most advanced server hardware in the world. We drive technical debug efforts and write truly massive scale autonomous software to monitor, optimize, and remediate machine learning hardware. Come join us! Key job responsibilities - Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products - Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS - Implement
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TITLE: Principal Member of Technical Staff
EMPLOYER: Oracle
LOCATION: BENGALURU, KARNATAKA, India, IN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 14 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/334298/
EXCERPT: Principal Member of Technical Staff BENGALURU, KARNATAKA, India, IN OCI Compute is looking for strong Senior Software Developers with a strong cloud/distributed systems/microservices background to take on the challenge of engineering Compute Infrastructure solutions and build services for Large Scale Compute and performance while providing strong guarantees of availability to our customers. Your team will have diverse expertise in systems, compute, networking and software development to provide the stability, performance, and reliability that our customers need. OCI has taken the lead in becoming the premiere Cloud Provider of next gen computing, and this is your opportunity to play a role in the Compute industry movement. Design and develop compute software in Java and other languages. Apply engineering principles for defining robust and maintainable architectures and designs. Build cloud service on top of the modern Infrastructure as Service (IaaS) building blocks at OCI Design, lead and build distributed, scalable, fault tolerant software systems Participate in the entire software lifecycle - development, testing, CI/CD and production operations Collaborate broadly across multiple disciplines from designers to developers. Identify requirements, scope solutions, estimate work, schedule deliverables. Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture. Balance between product feature development, troubleshooting and production operational concerns like ops automation, structured logging, instrumentation for metrics and participating in on-call. Career Level - IC4
---
TITLE: Software Development Manager , Serverless Compute Fabric
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $203K-$275K
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10442075/software-development-manager-serverless-compute-fabric
EXCERPT: Software Development Manager , Serverless Compute Fabric New York, New York, USA AWS Serverless Compute is at the heart of the Serverless movement. It is a fast growing service that is becoming the default compute platform for a wide range of applications including executing untrusted and AI generated code in isolated environments with near-instant launch and resume capabilities. We are looking for a software development manager to lead feature development for Serverless Compute. This role requires ownership, autonomy, and an ability to deliver results. You should be a self-starter with a bias towards independent problem solving. Clear communication and prioritization will be important as you partner with Product Management to plan, and deliver experiences for customers of Serverless Compute Platform. You have a passion for managing complex technology projects and helping the team make strong business judgments. Experience building low-latency compute infrastructure is preferred. How do you know if you are a good fit for us? You are fascinated by the challenge of building innovative, global-scale software systems. You value the purposefulness and connect to customers in every action, decision and code delivered. You are inspired by difficult problems and by quickly finding solutions that will stand the test of time. You relish the opportunity to take active ownership for building and operating a service that delights customers. Why do we believe that we are a good fit for you? You'll be part of a team with smart leaders and engineers who value empathy, inclusion and thought diversity. We set
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TITLE: Technical Program Manager, Cloud ML and Compute Services
EMPLOYER: Google
LOCATION: Hyderabad, Telangana, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckemR9ZoIS3d8LvtEbdDhJpt3Yp5KPjndic0-vTMHM4bfEjsACxwdTGWyXpV85ezrKnZPBhslOoElZSNgu8n2-7PvgtAtmrMib2nTk5QKsA-VgtBQVlx1QOwpkyz9lw%3D%3D_V2&loc=IN&title=Technical+Program+Manager
EXCERPT: Technical Program Manager, Cloud ML and Compute Services Hyderabad, Telangana, India A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Cloud ML Compute Services (MCS) team defines and drives the overall Cloud ML Compute IaaS and IaaS+ product offering and technical strategy. We enable our customers with the best AI/ML Infra in the world for talent powered by TPUs, GPUs. As a Technical Program Manager, you will remove the bottleneck of complex cluster setup through automation, so AI/ML researchers and engineers, cloud architects, and IT admins can focus on their end goals rather than configuration. You will mitigate slowdowns in distributed training through optimized workload placement and understanding of physical data center networks. You will manage job queues and ensure efficient resource allocation through its managed Slurm environment. You will provide observability into all cluster components and an evolving topology view for cluster health. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's
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TITLE: Hardware Engineer - ML Acceleration, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $136K-$184K
POSTED: 2026-04-24
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10402894/hardware-engineer-ml-acceleration-annapurna-labs
EXCERPT: Hardware Engineer - ML Acceleration, Annapurna Labs Austin, Texas, USA Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. We are seeking a Hardware Design Engineer with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our hardware team, you will have the opportunity to participate in the design and execution of all PCIe and Serdes topics, with the goal of creating and customized platforms that fit within AWS datacenter's world leading technology. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is
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TITLE: Computer Scientist 2 (C++)
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-2--C---_R165616-1
EXCERPT: Computer Scientist 2 (C++) Noida posted: Posted 30+ Days Ago
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TITLE: Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Hardware Engineering Services
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $157K-$213K
POSTED: 2026-04-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10396844/cloud-hardware-dev-engineer-aws-generative-ai-ml-servers-aws-hardware-engineering-services
EXCERPT: Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Hardware Engineering Services Cupertino, California, USA Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities As
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TITLE: Director, Computational Biology, Precision Medicine
EMPLOYER: Amgen
LOCATION: India - Hyderabad (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Director--Computational-Biology--Precision-Medicine_R-238154
EXCERPT: Director, Computational Biology, Precision Medicine India - Hyderabad posted: Posted Yesterday
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TITLE: Senior Machine Learning Engineer, AI Platform
EMPLOYER: Adobe Inc.
LOCATION: San Jose (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678
EXCERPT: Senior Machine Learning Engineer, AI Platform San Jose posted: Posted 30+ Days Ago
---
TITLE: Senior Computer Scientist - I (Frontend)
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Software-Development-Engineer-5_R165721
EXCERPT: Senior Computer Scientist - I (Frontend) Noida posted: Posted 30+ Days Ago
---
TITLE: Principal Machine Learning Engineer
EMPLOYER: Oracle
LOCATION: United States, US (unspecified)
SALARY: $115K-$235K
POSTED: 2026-06-01
PARENTAL_LEAVE_WEEKS: 14 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/335261/
EXCERPT: Principal Machine Learning Engineer United States, US At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Values are OCI's foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. In OCI AI Infrastructure org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. In this role, you will drive building state-of-the-art training infrastructure for massive GPU clusters, as well as designing agentic systems deployed on OCI infrastructure at enterprise-scale. You will be innovating on leading principles of agentic software development and driving the frontier on infrastructure that maximizes the potential of bleeding-edge GPU clusters. We are working at the forefront of Generative AI (GenAI) landscape working with teams across Oracle on multi-modal data generation and leading the framework across Oracle.
---
TITLE: Computer Scientist 2 (Frontend)
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-2_R167229-1
EXCERPT: Computer Scientist 2 (Frontend) Noida posted: Posted 30+ Days Ago
---
TITLE: Computer Scientist 1 (Frontend)
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-1--Frontend-_R168518
EXCERPT: Computer Scientist 1 (Frontend) Noida posted: Posted 22 Days Ago
---
TITLE: Senior Machine Learning Engineer
EMPLOYER: Adobe Inc.
LOCATION: 3 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Senior-Machine-Learning-Engineer_R166334
EXCERPT: Senior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago
---
TITLE: Senior Machine Learning Compiler Engineer
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $168K-$227K
POSTED: 2025-08-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer
EXCERPT: Senior Machine Learning Compiler Engineer Seattle, Washington, USA The Product: Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the Amazon Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum
---
TITLE: Computer Scientist ( Java Backend )
EMPLOYER: Adobe Inc.
LOCATION: Bangalore (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Computer-Scientist---Java-Backend--_R164737-1
EXCERPT: Computer Scientist ( Java Backend ) Bangalore posted: Posted 22 Days Ago
---
TITLE: Senior Machine Learning Engineer
EMPLOYER: Axon Enterprise
LOCATION: Seattle, Washington, United States (unspecified)
SALARY: $151K-$241K
POSTED: 2026-03-06
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/axon/jobs/7583232003
EXCERPT: Senior Machine Learning Engineer Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact Are you eager to contribute to building AI products impacting the world for the greater good? As an ML Engineer at Axon, you will contribute to developing AI solutions transforming the public safety space and supporting our company's mission: accelerate justice, protect truth, and save lives. Working closely with other ML engineers and scientists, you will enable new AI capabilities for Axon's products (Fleet, Draft One, Axon Air, VR and more) by supporting the training, evaluation, testing and deployment of machine learning models on Axon devices and cloud. As part of a multidisciplinary team, you will be exposed to a wide range of AI domains and applications: from computer vision to speech recognition and natural language understanding. What You'll Do Location: Hybrid from our office in Seattle, Washington. Reports to: Manager, Machine Learning Engineering - Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping
---
TITLE: Computer Scientist-I/II
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-I-II_R168183
EXCERPT: Computer Scientist-I/II Noida posted: Posted 11 Days Ago
---
TITLE: Computer Scientist - Java, Microservices
EMPLOYER: Adobe Inc.
LOCATION: Bangalore (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Computer-Scientist---Java---Microservices_R168302
EXCERPT: Computer Scientist - Java, Microservices Bangalore posted: Posted 2 Days Ago
---
TITLE: Machine Learning Hardware Architect, Hardware, Software Co-Design, Google Cloud
EMPLOYER: Google
LOCATION: Tel Aviv, Israel; +1 more (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckW_Qhx5wpXHRzFwFycrE_o-wZ7iZDmIONzXLW9yn7XxHEjsACxwdTCm9tx4YEhLbhEHQcm49BX19M6M59zg6wI5U8t74bTkepACUpEMdIyUFdtCeMjtQOnILX-9qpg%3D%3D_V2&loc=IL&title=Machine+Learning+Hardware+Architect
EXCERPT: Machine Learning Hardware Architect, Hardware, Software Co-Design, Google Cloud Tel Aviv, Israel; +1 more In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next-generation hardware design. Operating at the highest levels of AI research and engineering, you will define the goal and architectural roadmap for our future machine learning serving and training capabilities. You will guide the integration of ML research such as massive-scale foundation models with advanced silicon architectures to create industry-leading, high-performance, and power-efficient accelerators. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms
---
TITLE: Senior Machine Learning Engineer - Platform
EMPLOYER: Samsara
LOCATION: Remote - US (remote)
SALARY: $243K-$286K
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://www.samsara.com/company/careers/roles/7266471?gh_jid=7266471
EXCERPT: Senior Machine Learning Engineer - Platform Remote - US Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: We are looking for a Senior Machine Learning Engineer to lead the architectural evolution of our safety systems. You will move our ML stack from siloed, end-to-end models toward a unified Perception Platform Layer . Your mission is to build the robust infrastructure that translates raw sensor data into real-time, high-stakes decisions, ensuring our models perform reliably across both cloud and edge environments. This is a remote position for candidates based in the US. You should apply if: You want
---
TITLE: Computer Scientist 2 (C++)
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-2--C---_R167185-1
EXCERPT: Computer Scientist 2 (C++) Noida posted: Posted 4 Days Ago
---
TITLE: AI Engineer / Architect-IFS Cloud
EMPLOYER: Rockwell Automation
LOCATION: 4 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://rockwellautomation.wd1.myworkdayjobs.com/External_Rockwell_Automation/job/Wisconsin-United-States/AI-Engineer---Architect-IFS-Cloud_R25-10110
EXCERPT: AI Engineer / Architect-IFS Cloud 4 Locations posted: Posted Yesterday
---
TITLE: Computer Scientist 2
EMPLOYER: Adobe Inc.
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-2_R167470
EXCERPT: Computer Scientist 2 2 Locations posted: Posted 30+ Days Ago
---
TITLE: Sr. Computer Scientist 1
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Sr-Computer-Scientist-1_R167186-1
EXCERPT: Sr. Computer Scientist 1 Noida posted: Posted 30+ Days Ago
---
TITLE: AI Solutioning Consultant
EMPLOYER: Baker Hughes
LOCATION: US-TX-HOUSTON-575 N. DAIRY ASHFORD RD, ENERGY CENTER II EC2 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/US-TX-HOUSTON-575-N-DAIRY-ASHFORD-RD-ENERGY-CENTER-II-EC2/AI-Solutioning-Consultant_R160152
EXCERPT: AI Solutioning Consultant US-TX-HOUSTON-575 N. DAIRY ASHFORD RD, ENERGY CENTER II EC2 posted: Posted 30+ Days Ago
---
TITLE: Sr. Software Engineer- AI/ML, AWS Neuron Apps
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $168K-$227K
POSTED: 2025-10-30
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3118746/sr-software-engineer-ai-ml-aws-neuron-apps
EXCERPT: Sr. Software Engineer- AI/ML, AWS Neuron Apps Seattle, Washington, USA Shape the Future of AI Accelerators at AWS Neuron Join the elite team behind AWS Neuron-the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale. What You'll Impact: • Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen • Optimize breakthrough language and vision generative AI models • Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration • Drive performance benchmarking and tuning that directly impacts millions of inference calls globally Key job responsibilities You will drive the Evolution of Distributed AI at AWS Neuron As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization-it's about revolutionizing how AI models run at scale. Technical Impact You'll Drive: • Spearhead distributed inference architecture for PyTorch and JAX using XLA • Engineer breakthrough performance optimizations for AWS Trainium and Inferentia • Develop ML tools to enhance LLM accuracy and efficiency • Transform complex tensor operations into highly optimized hardware implementations • Pioneer benchmarking methodologies that shape next-gen AI accelerator design What Makes This Role Unique: • Direct influence on AWS's AI infrastructure used by thousands of ML applications • Full-stack optimization
---
TITLE: Computer Scientist - Fullstack
EMPLOYER: Adobe Inc.
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Computer-Scientist---Fullstack_R168336
EXCERPT: Computer Scientist - Fullstack 2 Locations posted: Posted 30+ Days Ago
---
TITLE: Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2026-04-13
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10389921/sr-mla-dv-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
EXCERPT: Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have
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TITLE: Senior Computer Scientist ( Python)
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Lead-Engineer_R166868-1
EXCERPT: Senior Computer Scientist ( Python) Noida posted: Posted 29 Days Ago
---
TITLE: Mechanical Engineer, Advanced Analytics
EMPLOYER: Google
LOCATION: Sunnyvale, CA, USA (unspecified)
SALARY: $171K-$248K
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckeq5btdMEOXMPkzjKXnZ-IKGQHKewoZtcH6Gy20zayFkEjsACxwdTFYRArt9OKKHaYleM0052o7ut2pX8ZbmvSR2lFDv1BIHzDEEEsDkMDaJvkL3Anc5LqlIZqm00g%3D%3D_V2&loc=US&title=Mechanical+Engineer
EXCERPT: Mechanical Engineer, Advanced Analytics Sunnyvale, CA, USA Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). The Thermal Systems Engineering team stands at the forefront of accelerating innovation that powers Google's global infrastructure. As a Mechanical Research Engineer on the Data Center Technology Systems (DCTS), a multidisciplinary group of engineers and architects dedicated to designing next-generation data centers, you will play a key role in developing, analyzing, and optimizing the mechanical cooling infrastructure. You will use various analytical tools to reveal important data points in the design process for efficient mechanical systems. You will be an excellent communicator, able to articulate complex ideas concisely across all digital mediums and provide recommendations to cross-functional engineers and architects to enhance our data centers' mechanical systems and accelerate construction. Behind everything our users
---
TITLE: Computer Scientist 1 (Android)
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-1--Android-_R166950
EXCERPT: Computer Scientist 1 (Android) Noida posted: Posted 30+ Days Ago
---
TITLE: Machine Learning - Compiler Engineer II, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-05-13
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10418953/machine-learning-compiler-engineer-ii-annapurna-labs
EXCERPT: Machine Learning - Compiler Engineer II, Annapurna Labs Seattle, Washington, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide
---
TITLE: Computer Scientist 1 (C++)
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-27
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-1--C---_R167184-1
EXCERPT: Computer Scientist 1 (C++) Noida posted: Posted 16 Days Ago
---
TITLE: Principal, Senior Principal and Distinguished Engineer, AWS Database Services
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $200K-$271K
POSTED: 2026-03-04
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3195765/principal-senior-principal-and-distinguished-engineer-aws-database-services
EXCERPT: Principal, Senior Principal and Distinguished Engineer, AWS Database Services Seattle, Washington, USA You've spent your career solving hard problems. Here's one worth your next decade. The database is the heartbeat of every application ever built, and at AWS, we don't just run databases, we reinvent them. Our database products collectively serve hundreds of millions of workloads, process trillions of transactions, and store some of the most critical data on earth - making us the database infrastructure of the internet. AWS Database Services is a $17B+ business and one of the fastest-growing parts of AWS, where the problems are not incremental, the scale is not theoretical, and the stakes are genuinely high. You'll work alongside some of the most accomplished database engineers in the world, with access to infrastructure, data, and customer relationships that don't exist anywhere else - and the autonomy to define what "excellent" looks like, not just execute against someone else's definition of it. We're hiring multiple Principal Engineers across this portfolio, and we're looking for builders who want to shape products used by millions of real customers. What You'll Work On Three forces are reshaping this landscape right now: AI-assisted development is changing how engineers build on top of databases; agentic AI is creating entirely new requirements for low-latency, high-consistency data access; and the boundary between operational and analytical data is collapsing. You will be at the center of all three - not as an observer, but as an architect and builder. We're building a bench of
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TITLE: Senior Software Engineer, Backend (Cloud Compute)
EMPLOYER: Affirm
LOCATION: Remote Poland (remote)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/affirm/jobs/7511995003
EXCERPT: Senior Software Engineer, Backend (Cloud Compute) Remote Poland
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TITLE: Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR), EMR EKS
EMPLOYER: Amazon
LOCATION: East Palo Alto, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2026-05-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10420457/software-development-engineer-big-data-aws-elastic-mapreduce-emr-emr-eks
EXCERPT: Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR), EMR EKS East Palo Alto, California, USA Want to change the world with Big Data and Analytics? Come join us on the Amazon Web services (AWS) Elastic MapReduce (EMR) team! EMR is a massively scaled distributed service that gives users fast and predictable Big Data performance with clusters running Hadoop, Hive, Pig, Impala, Spark, Presto, HBase and more, with the ability to effortlessly scale up and down as needed. We run millions of customer clusters, enabling processing on vast datasets. We are developing innovative new features including the next-generation cluster management system, real-time processing for big data and intuitive ways of interacting with data, and we're looking for top engineers to build them from the ground up. This is a hands-on position where you will be do everything from designing and building extremely stable components and features for the savviest customers in the business to help them get the best results. You will have a chance to work with the open source community and contribute significant portions its software to open source projects possibly including Hadoop, Spark, Pig and Hbase. You need to not only be a top software developer with excellent programming skills, an understanding of big data and parallelization, and a stellar record of delivery but also excel at leadership and customer obsession and have a real passion for massive-scale computing. If you want to truly test your mettle against the hardest challenges in distributed systems to build
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TITLE: Sr Associate Compute Engineer
EMPLOYER: Amgen
LOCATION: India - Hyderabad (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Sr-Associate-Compute-Engineer_R-214298
EXCERPT: Sr Associate Compute Engineer India - Hyderabad posted: Posted 30+ Days Ago
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TITLE: Senior Software Development Engineer - Big Data and Spark
EMPLOYER: Adobe Inc.
LOCATION: Bucharest (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Senior-Software-Development-Engineer---Biga-Data-and-Spark_R166669
EXCERPT: Senior Software Development Engineer - Big Data and Spark Bucharest posted: Posted 30+ Days Ago
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TITLE: Cryptologic Computer Scientist-2
EMPLOYER: Leidos
LOCATION: Odenton, MD (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/Odenton-MD/Cryptologic-Computer-Scientist-2_R-00157635
EXCERPT: Cryptologic Computer Scientist-2 Odenton, MD posted: Posted 30+ Days Ago
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TITLE: Senior Machine Learning Scientist
EMPLOYER: Axon Enterprise
LOCATION: Seattle, Washington, United States (unspecified)
SALARY: $160K-$256K
POSTED: 2026-02-09
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/axon/jobs/7624679003
EXCERPT: Senior Machine Learning Scientist Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company ) - US: Seattle, Boston, Scottsdale Responsibilities - Own one or more key technical areas across LLM, MLLM, CV product portfolio. - Provide technical leadership to junior scientists, guiding the transition of R&D concepts
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TITLE: Sr Technical Program Manager - Infrastructure and R&D Projects, AWS Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $149K-$201K
POSTED: 2026-03-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3202524/sr-technical-program-manager-infrastructure-and-r-d-projects-aws-center-for-quantum-computing
EXCERPT: Sr Technical Program Manager - Infrastructure and R&D Projects, AWS Center for Quantum Computing Pasadena, California, USA The AWS Center for Quantum Computing is a multi-disciplinary team of scientists, engineers, and technicians, all working to develop quantum computing technology capable of delivering value to customers. We are looking for a senior technical program manager to support infrastructure and R&D projects. This role will tackle a grab bag of high-profile projects that require working across internal teams as well as with external collaborators. This fast paced role will need to leverage in-depth domain knowledge around R&D for quantum computing technologies to anticipate efficient lab operations while also navigating evolving infrastructure needs. You will leverage your experience in managing complex technical programs to make data-informed decisions at a programmatic level. In this role, you will also support the definition of technical project management standards across the Center of Quantum Computing. Additionally, as an experienced project manager, you will have the opportunity to contribute to shaping our general project management practices across the organization. This includes improving our general lifecycle approach for projects, while also increasing our ability to promote visibility of project progress to other teams and senior leadership. Familiarity with system engineering topics that intersect with project management, such as quantitative risk management, reviews, and requirements management is highly desirable. Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue
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TITLE: Machine Learning Hardware Architect, Google Cloud Silicon
EMPLOYER: Google
LOCATION: Tel Aviv, Israel; +1 more (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSb5Ztykt9GDsvh6yLbwO-evuOGmXD_5EQqAaQPmH2tWEjsACxwdTMl4OZe1mY6_aHFFTY-l0no3ftkwoAKkPJ4hydQVfwpgzbzzWGcZKYmHXc2zpuD1TP7jbFTpkw%3D%3D_V2&loc=IL&title=Machine+Learning+Hardware+Architect
EXCERPT: Machine Learning Hardware Architect, Google Cloud Silicon Tel Aviv, Israel; +1 more In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will own and lead the architecture of the Google Edge AI accelerators. You will work with the Google AI community and with external partners. You will combine the latest innovations in Machine Learning and integrated circuits to create advanced hardware acceleration solutions for Machine Learning training and inference. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on
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TITLE: Senior Research Scientist I/II, Computational Biology & Toxicology
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013119726-senior-research-scientist-i-ii-computational-biology-toxicology
EXCERPT: Senior Research Scientist I/II, Computational Biology & Toxicology North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Computational Toxicology group is dedicated to advancing in-silico approaches that improve the prediction and mechanistic understanding of drug safety across small molecules, biologics, and emerging modalities. This role sits at the intersection of biological science and computational innovation - and that intersection is intentional. We are looking for a scientist with deep domain knowledge in biology who has also developed computational skills to independently design, build, and deploy data-driven solutions. The ideal candidate can stand at the bench conceptually, understand what drives experimental variability, and architect computational solutions that reflect biological reality. The role focuses on integrating diverse data sources - including pharmacology, toxicology, genomics, pathology, chemistry, and clinical datasets - into predictive and interpretable models. You will work directly with research scientists to understand their workflows, co-design solutions, and build tools that make computational capabilities accessible to generalist scientists across Development Sciences. Responsibilities Serve as a scientific translator between wet-lab researchers and computational
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TITLE: Machine Learning Engineer
EMPLOYER: CyberArk
LOCATION: Office - USA - CA - Headquarters (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Machine-Learning-Engineer_JR-010194
EXCERPT: Machine Learning Engineer Office - USA - CA - Headquarters posted: Posted 30+ Days Ago
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TITLE: AMS/RF Board Designer, Quantum AI
EMPLOYER: Google
LOCATION: Goleta, CA, USA (unspecified)
SALARY: $159K-$231K
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckQ0osbW7lM07kHPZKbezrCaTMsBw6Kn0FZkzYznZSu9WEjsACxwdTB-78lJRoIDMQP_IVIkUQcoBk_8Ex60Yc1oVmvT6RugF_zaj38Z8EQUQxbKrCPU3soeKt7Yj1A%3D%3D_V2&loc=US&title=AMS/RF+Board+Designer
EXCERPT: AMS/RF Board Designer, Quantum AI Goleta, CA, USA Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will be a key team member in the development of quantum control and measurement systems. You will leverage radio frequency (RF), analog, or mixed-signal expertise to implement high-performance board-level designs which are then used to control our quantum computers. You will work with ASIC designers to architect system-level solutions which allow us to improve our system density and performance. You will document your designs and measurement results and present these data to relevant stakeholders. You will support team-members using the equipment you have designed as they integrate it into larger quantum computing systems. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Support deployment and operations of electronics to Google's fleet of quantum computers.
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TITLE: Sr. SDM, AI Inference Technology, Neuron SDK
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $253K-$342K
POSTED: 2025-06-16
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3009701/sr-sdm-ai-inference-technology-neuron-sdk
EXCERPT: Sr. SDM, AI Inference Technology, Neuron SDK Seattle, Washington, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. Come develop inference acceleration for AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators that power the latest AI models As the Sr. SDM for the Inference Technology Team, you will lead a strong team of managers and engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. You will be responsible for the full development life cycle of inference library and feature development, including reliability and scalability. You will develop the Neuronx_Distributed Inference Libraries and contribute to other popular open source Inference Libraries, enabling customers to optimize LLMs, multimodal, and generative models. The ideal candidate will have an established background in delivering AI feature support for demanding, fast-changing priorities or delivering high-performance models using distributed inference libraries. The ideal candidate should have a strong technical ability to understand and manage a vertically integrated system stack that consisting of hardware, frameworks, and workflows. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions, developing the full stack of software, servers and
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TITLE: Software Development Engineer, AI Upgrades & Transformation
EMPLOYER: Amazon
LOCATION: East Palo Alto, California, USA (remote)
SALARY: $165K-$224K
POSTED: 2026-05-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10415132/software-development-engineer-ai-upgrades-transformation
EXCERPT: Software Development Engineer, AI Upgrades & Transformation East Palo Alto, California, USA Do you enjoy working on large-scale distributed systems and Agentic AI ? The team manages the Apache Spark Upgrade Agent for Analytics services (Glue, EMR, Athena), the Remote MCP Service (SageMaker Unified Studio MCP), and the AWS Glue Python Service - Product and Runtime. Apache Spark Upgrade Agent[1], is a new generative Agentic AI capability that enables customers to upgrade their Apache Spark applications to newer versions. Spark upgrades traditionally require 6-12 months of engineering effort for customers due to analyzing API changes, resolving dependency conflicts, and validating functional correctness across hundreds of enterprise applications. Apache Spark Upgrade Agent, reduces upgrade timelines from months to weeks through conversational interfaces, automated code transformation, and rigorous data quality validation, allowing engineers to use natural language for upgrades while maintaining approval control over changes and freeing engineering capacity for strategic innovation. The Remote MCP service is a fully managed Model Context Protocol server that provides customers using AI assistants (Kiro, Claude, Cline) and Agents secure access to value-added Spark Troubleshooting, Code Recommendation and Upgrade tools for Analytics services. Remote MCP service provide Agents with a MCP-compliant (Json-RPC-based interface) for Tool calls with IAM based permissions and auditability through AWS CloudTrail. The team also manages Glue Python Shell product and runtime. Glue Python Shell customers use Python 2 (2.7) and Python 3 (3.6 & 3.9). [1] Spark Upgrade agent - https://aws.amazon.com/blogs/big-data/introducing-apache-spark-upgrade-agent-for-amazon-emr/ Key job responsibilities - Collaborate with experienced cross-disciplinary Amazonians to conceive,
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TITLE: Computer Scientist - Android, Kotlin & Java
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-15
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist---Android--Kotlin---Java_R168110-1
EXCERPT: Computer Scientist - Android, Kotlin & Java Noida posted: Posted 28 Days Ago
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TITLE: Computer Scientist-II (Fullstack)
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-II--Fullstack-_R167085
EXCERPT: Computer Scientist-II (Fullstack) Noida posted: Posted 22 Days Ago
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TITLE: Sr Applied Scientist, Generative AI/ML
EMPLOYER: Adobe Inc.
LOCATION: Seattle (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/Sr-Applied-Scientist--Generative-AI-ML_R161947
EXCERPT: Sr Applied Scientist, Generative AI/ML Seattle posted: Posted 24 Days Ago
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TITLE: Software Engineer II- AI/ML, AWS Neuron
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-03-24
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10375046/software-engineer-ii-ai-ml-aws-neuron
EXCERPT: Software Engineer II- AI/ML, AWS Neuron Seattle, Washington, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Training Enablement and Foundation team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of
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