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: Neural Magic
- quality_floor: default
- match_401k_strict: true
- parental_strict: true
- non_birth_strict: true
- pto_strict: true
- include_older: false
- apply_url_verified: false
- page: 2
- per_page: 100
- sort: relevance

Jobs (100 total):

---
TITLE: Software Engineer, Telco
EMPLOYER: Neural Magic
LOCATION: Raleigh (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-18
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raleigh/Software-Engineer--Telco_R-055569
EXCERPT: Software Engineer, Telco Raleigh posted: Posted 25 Days Ago
---
TITLE: Principal Software Engineer - OpenShift Virtualization Windows Guests
EMPLOYER: Neural Magic
LOCATION: Raanana (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-31
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raanana/Principal-Software-Engineer---OpenShift-Virtualization-Windows-Guests_R-055739-1
EXCERPT: Principal Software Engineer - OpenShift Virtualization Windows Guests Raanana posted: Posted 12 Days Ago
---
TITLE: Junior Solution Architect- Openshift
EMPLOYER: Neural Magic
LOCATION: Singapore (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Singapore/Junior-Solution-Architect--Openshift_R-054546
EXCERPT: Junior Solution Architect- Openshift Singapore posted: Posted Yesterday
---
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
---
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: Cloud Architect
EMPLOYER: Neural Magic
LOCATION: Mexico City (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Mexico-City/Cloud-Architect_R-054214-1
EXCERPT: Cloud Architect Mexico City posted: Posted 5 Days Ago
---
TITLE: Machine Learning: Whole-Body Control
EMPLOYER: The Bot Company
LOCATION: San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-25
APPLY_URL: https://jobs.ashbyhq.com/thebotcompany/69c93a4a-161a-49c9-89bc-4c3e0c4716e6
EXCERPT: Machine Learning: Whole-Body Control San Francisco The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution. What we look for in all candidates All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate: - Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains. - Engineering curiosity: you naturally dig into how systems work, even outside your specialty. - High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding. Machine Learning: Whole-Body Control We are building high-performance whole-body controllers that produce robust, agile motion and manipulation in the real world. You will train low-level control policies in simulation and own the stack from environment design to large-scale training and sim-to-real deployment. What You'll Do - Train whole-body policies for locomotion, manipulation, and coordinated motion. - Build scalable simulation environments
---
TITLE: Senior Software Engineer in Crypto (Smart Cards)
EMPLOYER: Neural Magic
LOCATION: Raleigh (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raleigh/Senior-Software-Engineer-in-Crypto--Smart-Cards-_R-056859
EXCERPT: Senior Software Engineer in Crypto (Smart Cards) Raleigh posted: Posted 22 Days Ago
---
TITLE: Senior Resource Deployment Specialist
EMPLOYER: Neural Magic
LOCATION: Melbourne (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-22
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Melbourne/Senior-Resource-Deployment-Specialist_R-057466
EXCERPT: Senior Resource Deployment Specialist Melbourne posted: Posted 21 Days Ago
---
TITLE: Research Scientist, Robotics, DeepMind
EMPLOYER: DeepMind
LOCATION: Cambridge, MA, USA (unspecified)
SALARY: $147K-$211K
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://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckQx_i4WU6SWHgKivWRKzYfFCgj8ZZIPOO_y1cUTWJgOxEjsACxwdTP5fMhuSb6SqeNplEvnfwqezB3rl4Dhvc4cTAJgTwpznNnctmCpHXAo5VDBnfbxcGLIiPInmpg%3D%3D_V2&loc=US&title=Research+Scientist
EXCERPT: Research Scientist, Robotics, DeepMind Cambridge, MA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. At Google DeepMind Robotics, we are pioneering the integration of AI into the physical world to power an era of physical agents. By enabling robots to perceive, plan, think, use tools, and act, we empower them to solve increasingly tasks. In this role, you will focus on building foundation models, such as advanced vision-language-action (VLA) models, which combine Gemini's world understanding with physical actions to provide direct robotic control. These include Gemini Robotics, our most advanced Gemini model for the physical world, and Gemini Robotics On-Device, our fastest Gemini model that functions without a data network. These models allow robots to perform a broad range of tasks, respond interactively to their environment, achieve high dexterity, and reason over long, multi-step sequences. Beyond model building, we are committed to advancing general-purpose robotics, specifically in areas like agentic reasoning, real-world understanding, action generalization, human-robot interaction, dexterity, whole-body control, and continual learning. To deploy these innovations at scale, you will partner with key robotics companies to bring this intelligence to the physical world across a broad array of applications. Artificial intelligence will be one of humanity's most transformative
---
TITLE: Principal Engineer, AI Inference Reliability
EMPLOYER: Cerebras Systems
LOCATION: Remote, California, United States; Sunnyvale CA or Toronto Canada (remote)
SALARY: Not disclosed
POSTED: 2025-10-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7511484003
EXCERPT: Principal Engineer, AI Inference Reliability Remote, California, United States; Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. In late 2024, we launched Cerebras Inference, the fastest Generative AI inference service in the world, over 10 times faster than GPU-based hyperscale cloud inference. Since launch, we've scaled to meet the surging demand from AI labs, enterprises, and a thriving developer community. In October 2025, we announced our series G funding, raising $1.1 billion USD to accelerate the expansion of our products and services to meet global AI demand. About the team The Cerebras Inference team's mission
---
TITLE: Technical Translator, Korean Language
EMPLOYER: Neural Magic
LOCATION: Remote Australia (remote)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-Australia/Technical-Translator--Korean-Language_R-057938-1
EXCERPT: Technical Translator, Korean Language Remote Australia posted: Posted Today
---
TITLE: Principal Applied Scientist, Neuro-Symbolic AI Labs
EMPLOYER: Amazon
LOCATION: Boston, Massachusetts, USA (unspecified)
SALARY: $199K-$269K
POSTED: 2026-04-27
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/10404529/principal-applied-scientist-neuro-symbolic-ai-labs
EXCERPT: Principal Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research. As a Principal Applied Scientist, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will: - Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems. - Work in an agile, startup-like development environment, where you are always working on the most important stuff. - Deliver high-quality scientific artifacts. About the team We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU). Basic Qualifications: - Experience programming in Java, C++, Python or related language - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment - PhD, or Master's degree and 8+ years of applied research experience Preferred Qualifications: - 10+ years of relevant work in industry or academia experience - Experience creating novel algorithms and advancing the state of the art - Have peer-reviewed scientific contributions in premier journals and conferences Amazon is an equal opportunity employer
---
TITLE: Deep Learning Engineer
EMPLOYER: Carbon Robotics
LOCATION: Seattle, WA (unspecified)
SALARY: $140K-$220K
POSTED: 2026-04-17
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://carbonrobotics.com/job-openings?gh_jid=4673637006
EXCERPT: Deep Learning Engineer Seattle, WA The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy-all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital , Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning systems that power our autonomous laser weeding robots in the field. What You'll Do - Lead the design and execution
---
TITLE: Training Experience Specialist
EMPLOYER: Neural Magic
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-India-New-Delhi/Training-Experience-Specialist_R-057533-1
EXCERPT: Training Experience Specialist 2 Locations posted: Posted 9 Days Ago
---
TITLE: Senior Software Engineer- Hyperfleet -Maestro
EMPLOYER: Neural Magic
LOCATION: Raleigh (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raleigh/Senior-Software-Engineer--Hyperfleet--Maestro_R-057377-1
EXCERPT: Senior Software Engineer- Hyperfleet -Maestro Raleigh posted: Posted Yesterday
---
TITLE: Principal Product Manager, AI Platform
EMPLOYER: Neural Magic
LOCATION: Bangalore - Carina (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Principal-Product-Manager--AI-Platform_R-057314-1
EXCERPT: Principal Product Manager, AI Platform Bangalore - Carina posted: Posted 4 Days Ago
---
TITLE: Robotics Hardware Industrialization Engineer, DeepMind
EMPLOYER: DeepMind
LOCATION: Mountain View, CA, USA (unspecified)
SALARY: $212K-$231K
POSTED: 2026-06-09
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=CiUAL2FckX5Giy7xPdatXpPLjZ8jj0quWTGIYsM5IDPkt3oPrA_zEjsACxwdTI71lXYy-t5KLF3PblPYdN29Vomx6R5LE7fUs9_DuU1VKklzyCorYcCC_0BTOJoLDRIqOQepkQ%3D%3D_V2&loc=US&title=Robotics+Hardware+Industrialization+Engineer
EXCERPT: Robotics Hardware Industrialization Engineer, DeepMind Mountain View, 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. The Embodied Systems team is the new hardware-centric group within Deepmind Robotics. Our mission is to accelerate AI research in the physical domain through the world's most advanced robotics systems. You will be joining on the ground floor of our hardware operations, meaning your fingerprints will be on the processes, products and relationships that we forge. As a mechanically-capable Industrialization Engineer, you will join our robotic Engineering Operations team within Deepmind. The Industrialization Engineer bridges the gap between robotics research goal and scalable data collection in a laboratory environment. You will transform advanced research testing concepts into actionable designs and processes for our data collection humanoid laboratories. You will require collaboration with Research and Development, facilities, supply chain, and engineering teams to optimize robot operations, reduce costs, and optimize system reliability. You will be the first point of contact for any test cell design-related topics, and an authority on process control and DFM (Design For Manufacture)/DFX (Design For excellence) approaches. You will work with the engineering and development teams to define the functional hardware and processes that lead to a highly productive and scalable laboratory environment where a multitude of humanoid robots are operating,
---
TITLE: Software Engineer- AI/ML, AWS Neuron
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2025-10-18
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/3111834/software-engineer-ai-ml-aws-neuron
EXCERPT: Software Engineer- AI/ML, AWS Neuron Cupertino, California, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like LLama4, Mixtral, DBRX and beyond, as well as stable diffusion, Vision Transformers and many more. The Distributed training team works side by side with chip architects, compiler engineers and runtime engineers to create , build and tune distributed training solutions with Trainium. Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities This role will help lead the efforts building distributed training support into Pytorch and Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium . Strong software development and ML knowledge are both critical to this role. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over
---
TITLE: Sales Specialist 3
EMPLOYER: Neural Magic
LOCATION: 3 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-MD/Sales-Specialist-3_R-055718-1
EXCERPT: Sales Specialist 3 3 Locations posted: Posted 30+ Days Ago
---
TITLE: Senior Technical Instructor – Partner Enablement
EMPLOYER: Neural Magic
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-13
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Singapore/Senior-Technical-Instructor---Partner-Enablement_R-055971-1
EXCERPT: Senior Technical Instructor – Partner Enablement 2 Locations posted: Posted 30 Days Ago
---
TITLE: Engineering Manager, Inference ML Runtime
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-24
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7677112003
EXCERPT: Engineering Manager, Inference ML Runtime Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role The Inference ML Engineering team at Cerebras builds the runtime, APIs, and systems that power the fastest generative AI inference platform in the world. As an Engineering Manager, Inference ML Runtime , you will lead a team responsible for designing and scaling the systems that enable seamless execution of state-of-the-art AI models on Cerebras hardware. You will operate at the intersection of machine learning, distributed systems, and high-performance runtime engineering , translating cutting-edge research into production-ready infrastructure to serve
---
TITLE: Applied AI/ML Scientist
EMPLOYER: Cerebras Systems
LOCATION: UAE (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-14
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7588502003
EXCERPT: Applied AI/ML Scientist UAE Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As an Applied AI Scientist in the FieldML team, you will be responsible for developing and customizing large language models and more broadly large-scale deep learning models to solve specific customer problems. You won't just advise; you will build. You will bridge the gap between state-of-the-art research and real-world applications by helping customers harness the power of the Cerebras Wafer-Scale Engine (WSE) for their AI initiatives. We are looking for experienced AI Scientists who are passionate about the "applied" side of machine learning - those
---
TITLE: Sales Account Executive
EMPLOYER: Neural Magic
LOCATION: Amsterdam - MSO (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Amsterdam---MSO/Sales-Account-Executive_R-056623-2
EXCERPT: Sales Account Executive Amsterdam - MSO posted: Posted 9 Days Ago
---
TITLE: UI Design Engineer
EMPLOYER: Neuralink
LOCATION: South San Francisco, California, United States (unspecified)
SALARY: $135K-$281K
POSTED: 2024-07-15
K401_MATCH: yes (not source-backed)
APPLY_URL: https://boards.greenhouse.io/neuralink/jobs/6057476003?gh_jid=6057476003
EXCERPT: UI Design Engineer South San Francisco, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The BCI Applications Team is responsible for building Telepathy.app-software which enables people with paralysis to use computing devices with precision and ease, via thought alone. Our team spans a wide range of disciplines, from neuroscience and machine learning to software engineering and interface design. Job Description: We're looking for an experienced UI Design Engineer to conceptualize, prototype, and ship novel computing interfaces tailored for BCI. Our ideal candidate will possess the following qualities: - Passion to explore an open-ended, multi-disciplinary, constrained space where design choices are informed by neural structure, model architecture, radio bandwidth, and more. For instance, a slight difference in an animated spring coefficient can change perceptual response time, shifting the alignment of labels and the performance of our decoders. You will actively collaborate with domain experts within and outside the team to understand these constraints and design your way around them - An intuitive sense for what level of fidelity to reach for when navigating this space, be it a conversation, a rough sketch, or a testable prototype - Excitement to work within and push the boundaries of an entirely new medium of interaction without the traditional sensory feedback of existing physical input devices (e.g., the kinetic friction
---
TITLE: RHEL Sales Specialist
EMPLOYER: Neural Magic
LOCATION: Buenos Aires (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-26
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Buenos-Aires/RHEL-Sales-Specialist_R-056950-1
EXCERPT: RHEL Sales Specialist Buenos Aires posted: Posted 17 Days Ago
---
TITLE: Senior App Dev Consultant
EMPLOYER: Neural Magic
LOCATION: Tokyo (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/Senior-App-Dev-Consultant_R-055373-1
EXCERPT: Senior App Dev Consultant Tokyo posted: Posted 22 Days Ago
---
TITLE: Senior Applied Scientist, Neuro-Symbolic AI Labs
EMPLOYER: Amazon
LOCATION: Boston, Massachusetts, USA (unspecified)
SALARY: $167K-$226K
POSTED: 2026-05-05
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)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10411143/senior-applied-scientist-neuro-symbolic-ai-labs
EXCERPT: Senior Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research. As an Applied Scientist here, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will: * Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems. * Work in an agile, startup-like development environment, where you are always working on the most important stuff. * Deliver high-quality scientific artifacts. About the team We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU). 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. 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 inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and
---
TITLE: Account Solution Architect
EMPLOYER: Neural Magic
LOCATION: Brasilia - MSO (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Brasilia---MSO/Account-Solution-Architect_R-056156
EXCERPT: Account Solution Architect Brasilia - MSO posted: Posted 30+ Days Ago
---
TITLE: Principal ML Investigator
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7560555003
EXCERPT: Principal ML Investigator Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Cerebras is adding an ML team that can focus on a new ML effort that can align with existing teams. We are seeking a principal investigator who will partner with our ML leaders to formulate the new effort and to build up the new team and capabilities. This new team would coordinate with our current ML teams: Field ML, which works directly with customers, Applied ML, which builds new ML capabilities and applications for customers, and Core ML, which adapts ML algorithms to find
---
TITLE: Commercial Sales Program Manager
EMPLOYER: Neural Magic
LOCATION: Raleigh (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raleigh/Commercial-Sales-Program-Manager_R-056704-1
EXCERPT: Commercial Sales Program Manager Raleigh posted: Posted 24 Days Ago
---
TITLE: Market Development Representative (m/f/d)
EMPLOYER: Neural Magic
LOCATION: Zurich - MSO (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Zurich---MSO/Market-Development-Representative--m-f-d-_R-056792-1
EXCERPT: Market Development Representative (m/f/d) Zurich - MSO posted: Posted Today
---
TITLE: Electrical Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $150K-$260K
POSTED: 2026-02-19
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7628237003
EXCERPT: Electrical Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Responsibilities - Lead printed circuit board design through all development stages: from definition to implementation, bring-up, qualification, and production release. - Full responsibility for electrical specification, schematic design, components selection, and layout considerations. - Extensive lab bring-up and debugging, including developing automated benchtop setups for board characterization. - Collaborate with various design and operations teams: manufacturing operations & test engineering, supply chain, ASIC, mechanical, signal integrity, power delivery, layout, embedded & diagnostic, etc. Skills & Qualifications - B.S.c, M.S.c, or Ph.D. degree in electrical engineering, or equivalent experience.
---
TITLE: Technical Account Manager
EMPLOYER: Neural Magic
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Kowloon/Technical-Account-Manager_R-056815-1
EXCERPT: Technical Account Manager 2 Locations posted: Posted 30+ Days Ago
---
TITLE: Principal PMT-ES - AI/ML Training, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $208K-$282K
POSTED: 2026-04-16
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/10394324/principal-pmt-es-ai-ml-training-annapurna-labs
EXCERPT: Principal PMT-ES - AI/ML Training, Annapurna Labs Cupertino, California, USA AWS Trainium is deployed at scale, with millions of chips in production, used for training and inference of frontier models. AWS Neuron is the software stack for Trainium, enabling customers to run deep learning and generative AI workloads with optimal performance and cost efficiency. AWS Neuron is hiring a Principal Technical Product Manager to define and drive product strategy for training software on Trainium. This includes distributed training libraries, post-training workflows (RLHF, DPO, fine-tuning), reinforcement learning frameworks, and training performance optimization. Your mission is to enable researchers and operators to train frontier models at scale on Trainium, from single-node experimentation to distributed training across thousands of nodes. You will be the champion inside AWS for frontier model builders pushing the bounds of scale and resilience for current and emerging training paradigms. You will work with customers inside and outside the company to identify key improvements and stay ahead of the training landscape. You will define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium. To be successful, you will partner with engineering teams building training libraries and distributed training infrastructure, applied scientists developing optimization techniques, and PMs responsible for compiler, runtime, NKI, and infrastructure. You will develop deep knowledge of AI/ML training architectures, distributed training systems, model parallelism strategies, and training performance optimization to effectively define product strategy and make informed technical decisions. The Ideal Candidate The ideal candidate will
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TITLE: Strategic Accounts Manager
EMPLOYER: Neural Magic
LOCATION: Jakarta - MSO (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Jakarta---MSO/Strategic-Accounts-Manager_R-053688-2
EXCERPT: Strategic Accounts Manager Jakarta - MSO posted: Posted 30+ Days Ago
---
TITLE: Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
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/3168926/sr-machine-learning-compiler-engineer-iii-aws-neuron-annapurna-labs
EXCERPT: Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs Cupertino, California, 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
---
TITLE: Technical Account Manager - OpenShift
EMPLOYER: Neural Magic
LOCATION: 3 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-Czech-Republic/Technical-Account-Manager---OpenShift----Brno--Czech-Republic-_R-054191-1
EXCERPT: Technical Account Manager - OpenShift 3 Locations posted: Posted Today
---
TITLE: Applied Machine Learning Research Scientist
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-05
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7655035003
EXCERPT: Applied Machine Learning Research Scientist Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As an Applied Machine Learning Research Scientist at Cerebras, you will play a key role in turning modern machine learning techniques into scalable, high-performance systems. This role sits at the intersection of modeling and systems focused not on publishing new algorithms, but on understanding how they work and making them run effectively at scale. Your work will directly impact how large language models (LLMs) are trained, optimized, and deployed on one of the most advanced AI platforms in the
---
TITLE: Strategic Accounts Manager, FSI
EMPLOYER: Neural Magic
LOCATION: Mumbai (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Mumbai/Strategic-Accounts-Manager--FSI_R-056428-1
EXCERPT: Strategic Accounts Manager, FSI Mumbai posted: Posted 30+ Days Ago
---
TITLE: Junior or Software Engineer - Virtualization Cloud Team (Brno Office, Czech Republic)
EMPLOYER: Neural Magic
LOCATION: Brno - Tech Park Brno - C (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-25
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Brno---Tech-Park-Brno---C/Junior-or-Software-Engineer---Virtualization-Cloud-Team--Brno-Office--Czech-Republic-_R-056273-1
EXCERPT: Junior or Software Engineer - Virtualization Cloud Team (Brno Office, Czech Republic) Brno - Tech Park Brno - C posted: Posted 18 Days Ago
---
TITLE: Senior Engineering Partner Manager
EMPLOYER: Neural Magic
LOCATION: Raleigh (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-22
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raleigh/Senior-Engineering-Partner-Manager_R-057300
EXCERPT: Senior Engineering Partner Manager Raleigh posted: Posted 21 Days Ago
---
TITLE: Principal Engineer, Inference Cloud
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2025-09-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7480543003
EXCERPT: Principal Engineer, Inference Cloud Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Location: Sunnyvale We're hiring a Principal Engineer for our Inference Cloud Platform. This team owns the cloud layer behind our Inference Service, including availability, latency, reliability, and multi-region scale. This is one of the most senior IC roles on the team, for someone who can identify the highest-leverage platform problems, set direction across multiple teams, define long-term architecture, and write production code on critical paths. Many of the key decisions are ambiguous at the outset; you'll need to frame the problem, make tradeoffs, and drive execution
---
TITLE: Infrastructure Telco Architect
EMPLOYER: Neural Magic
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-Argentina/Infrastructure-Telco-Architect_R-057095-1
EXCERPT: Infrastructure Telco Architect 2 Locations posted: Posted 7 Days Ago
---
TITLE: Staff AI/ML Architect, Embodied AI
EMPLOYER: Intuitive Surgical, Inc.
LOCATION: Sunnyvale, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/Intuitive/744000131738602-staff-ai-ml-architect-embodied-ai
EXCERPT: Staff AI/ML Architect, Embodied AI Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive's advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position We are building advanced augmented dexterity capabilities for next-generation robotic platforms. As a Staff AI/ML Architect, you will own the end-to-end architecture of our applied-AI system: a hierarchical, multimodal stack in which a high-level model interprets sensory observations and produces structured intent, and a low-level policy turns that intent into precise, safe, real-time
---
TITLE: Senior Software Engineer
EMPLOYER: Neural Magic
LOCATION: Bangalore - Carina (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Senior-Software-Engineer_R-051734-1
EXCERPT: Senior Software Engineer Bangalore - Carina posted: Posted 30+ Days Ago
---
TITLE: Machine Learning Engineer Intern
EMPLOYER: Neuralink
LOCATION: South San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2025-05-30
K401_MATCH: yes (not source-backed)
APPLY_URL: https://boards.greenhouse.io/neuralink/jobs/6594261003?gh_jid=6594261003
EXCERPT: Machine Learning Engineer Intern South San Francisco, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). Job Description and Responsibilities: We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces. Required Qualifications: - Evidence in delivering high-impact projects either in academia or industry - Prior experience designing and building Machine Learning models - Deep understanding of machine learning concepts and fundamentals - Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way
---
TITLE: Senior Information Systems Engineer
EMPLOYER: Neural Magic
LOCATION: Pune (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Pune/Senior-Information-Systems-Engineer_R-057021-1
EXCERPT: Senior Information Systems Engineer Pune posted: Posted 9 Days Ago
---
TITLE: Research Scientist, Manipulation for Robotics, DeepMind
EMPLOYER: DeepMind
LOCATION: Mountain View, CA, USA (unspecified)
SALARY: $147K-$211K
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=CiUAL2FckTWdRJjouI2cudjqEZGKmSqSPQX_YgptphYHSyO68e42EjoACxwdTNQDNjEPLSdDQ5CaMZDUn7qlEWbLCLDFdWZBEOsr_SH8mex7NhMB-Yye08koKFCnk25x5U2J_V2&loc=US&title=Research+Scientist
EXCERPT: Research Scientist, Manipulation for Robotics, DeepMind Mountain View, CA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. At DeepMind Robotics, we are pioneering the integration of AI into the physical world to power an era of physical agents. By enabling robots to perceive, plan, think, use tools, and act, we empower them to solve increasingly tasks. Research Scientists work on stimulating range of projects including: inventing algorithms and prototype applications, working with real robots in the lab and outside the lab managing real world use cases. Research Scientists work in large collaborative teams to make breakthroughs to advance Robotics AI. We believe large foundation models will transform general purpose Robotics like with our Gemini Robotics models. This role will involve working with a multi-functional team that builds the future of robotics. You will be working on enabling robots to perform human level manipulation, using frontier robotics models for general purpose dexterous tasks reaching human level performance on real world applications. You will be working in a world-leading robotics research team and collaborate with other teams within DeepMind. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary
---
TITLE: Strategic Accounts Manager - Telco
EMPLOYER: Neural Magic
LOCATION: Tokyo (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-22
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/Strategic-Accounts-Manager---Telco_R-056424-1
EXCERPT: Strategic Accounts Manager - Telco Tokyo posted: Posted 21 Days Ago
---
TITLE: Advanced Technology: AI/ML Research Scientist
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7691353003
EXCERPT: Advanced Technology: AI/ML Research Scientist Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE,
---
TITLE: Machine Learning Compiler Engineer
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2025-11-30
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/3134054/machine-learning-compiler-engineer
EXCERPT: Machine Learning Compiler Engineer Cupertino, California, USA The Product: Amazon's Machine Learning accelerators are at the forefront of our 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 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 a quantum leap in
---
TITLE: Product Security Engineer
EMPLOYER: Neural Magic
LOCATION: 4 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-DC/Product-Security-Engineer_R-057260-1
EXCERPT: Product Security Engineer 4 Locations posted: Posted 24 Days Ago
---
TITLE: Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2025-10-31
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/3119465/machine-learning-compiler-engineer-aws-neuron-annapurna-labs
EXCERPT: Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs Cupertino, California, USA Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with internal and external customers/stakeholders and will be involved in pre-silicon design, bringing new products/features to market, ultimately, making Neuron compiler highly performant and easy-to-use. Experience in object-oriented
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TITLE: Senior Technical Account Manager
EMPLOYER: Neural Magic
LOCATION: Singapore (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Singapore/Senior-Technical-Account-Manager_R-051679-1
EXCERPT: Senior Technical Account Manager Singapore posted: Posted 11 Days Ago
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TITLE: Software Engineer - Hummingbird (Brno Office, Czech Republic)
EMPLOYER: Neural Magic
LOCATION: Brno - Tech Park Brno - C (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-27
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Brno---Tech-Park-Brno---C/Software-Engineer---Hummingbird--Brno-Office--Czech-Republic-_R-057497-2
EXCERPT: Software Engineer - Hummingbird (Brno Office, Czech Republic) Brno - Tech Park Brno - C posted: Posted 16 Days Ago
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TITLE: Market Development Representative
EMPLOYER: Neural Magic
LOCATION: Kuala Lumpur (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-29
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Kuala-Lumpur/Market-Development-Representative-2_R-052183-2
EXCERPT: Market Development Representative Kuala Lumpur posted: Posted 14 Days Ago
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TITLE: Senior Machine Learning Engineer, Animation Integration
EMPLOYER: Genies
LOCATION: Genies LA, Los Angeles, California, U.S., Genies San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-23
APPLY_URL: https://jobs.ashbyhq.com/genies/b24bf2a1-19b6-4fb9-bfed-739612d58652
EXCERPT: Senior Machine Learning Engineer, Animation Integration Genies LA, Los Angeles, California, U.S., Genies San Francisco Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. Genies is looking for a Senior Machine Learning Engineer to join our Avatar Technology team, focused on building the next generation of AI-driven animation systems. This role is focused on integrating machine learning systems into production animation pipelines and realtime environments, while also owning the applied ML work required to make these systems effective in practice. You will work across data, modeling, and runtime systems to ensure ML-driven animation performs reliably and at high quality in production. What You'll Be Doing: - Integrate machine learning models into realtime animation systems across mobile and web environments. - Develop systems that translate inputs such as audio, text, and intent into responsive avatar motion in production. - Work with generative models (e.g., diffusion, transformer-based systems) and adapt them for specific use cases such as facial animation, gesture generation, and character behavior. - Collect, process, and manage animation datasets (mocap, facial capture,
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TITLE: Training Program Coordinator
EMPLOYER: Neural Magic
LOCATION: 4 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-Brazil/Training-Program-Coordinator_R-057370-1
EXCERPT: Training Program Coordinator 4 Locations posted: Posted 7 Days Ago
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TITLE: AI Systems, Language & Reasoning Models
EMPLOYER: Unconventional AI
LOCATION: Palo Alto, CA I US Remote (remote)
SALARY: Not disclosed
POSTED: 2026-04-14
K401_MATCH: yes (not source-backed)
APPLY_URL: https://unconv.ai/careers/?gh_jid=4221631009
EXCERPT: AI Systems, Language & Reasoning Models Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, Language & Reasoning Models, you will drive the development of foundational language and reasoning models that fundamentally leverage the dynamics of our novel silicon. Your goal is to map the behaviors of modern language models directly onto the physics of our hardware. You will sit at the intersection of NLP/reasoning research and hardware codesign, proving that high-fidelity, large-scale language understanding and generation can be achieved natively on an unconventional computing substrate. What You'll Do - Model Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep equilibrium models) specifically tailored for unconventional compute. - Physics-Informed Architecture: Rethink standard sequence modeling to exploit the continuous-time dynamics of silicon, moving away from layers of inefficient digital abstraction. -
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TITLE: Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $193K-$262K
POSTED: 2025-06-20
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/3014888/sr-software-engineer-ai-ml-aws-neuron-distributed-training
EXCERPT: Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training Cupertino, California, 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. AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) our cloud-scale Machine Learning accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Python is a must. FSDP (Fully-Sharded Data Parallel), Deepspeed, Nemo and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and
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TITLE: Associate Site Reliability Engineer
EMPLOYER: Neural Magic
LOCATION: Raleigh (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raleigh/Associate-Site-Reliability-Engineer_R-057914
EXCERPT: Associate Site Reliability Engineer Raleigh posted: Posted 2 Days Ago
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TITLE: Senior Information Systems Engineer
EMPLOYER: Neural Magic
LOCATION: Pune (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Pune/Senior-Information-Systems-Engineer_R-057024-1
EXCERPT: Senior Information Systems Engineer Pune posted: Posted 7 Days Ago
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TITLE: Agentic AI/ML Engineer, Multimodal
EMPLOYER: FieldAI
LOCATION: Irvine, CA (unspecified)
SALARY: Not disclosed
POSTED: 2025-09-26
APPLY_URL: https://jobs.lever.co/field-ai/28935a89-7c6b-4caf-abe7-b83b8a9958e1
EXCERPT: Agentic AI/ML Engineer, Multimodal Irvine, CA FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from
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TITLE: Staff R&D Process Engineer, Laser Singulation
EMPLOYER: Magic Leap
LOCATION: Austin, TX (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/magicleap/jobs/7868312
EXCERPT: Staff R&D Process Engineer, Laser Singulation Austin, TX A new paradigm of computing Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities. We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR. With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences. Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap, you can explore innovative solutions and use your talents to solve real-world problems. Working alongside industry experts, you can grow your skills while helping make our technology available to millions of people as a partner in the AR ecosystem. We know that successful change and progress accelerates diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible. The opportunity The Staff R&D Process Engineer will play a critical role in developing and scaling advanced manufacturing processes for next-generation AR eyepiece technologies, with a primary focus on laser processing and singulation of glass and glass-like substrates. This position sits at the intersection of research and development and high-volume manufacturing. You will own
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TITLE: Senior AppDev / Middleware Consultant
EMPLOYER: Neural Magic
LOCATION: Tokyo (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/Senior-AppDev---Middleware-Consultant_R-055855-1
EXCERPT: Senior AppDev / Middleware Consultant Tokyo posted: Posted 4 Days Ago
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TITLE: Marketing Specialist, WE Region
EMPLOYER: Neural Magic
LOCATION: Remote Netherlands (remote)
SALARY: Not disclosed
POSTED: 2026-06-01
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-Netherlands/Marketing-Specialist--WE-Region_R-057448-1
EXCERPT: Marketing Specialist, WE Region Remote Netherlands posted: Posted 11 Days Ago
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TITLE: Senior or Principal Software Engineer - Networking Services (Brno Office, Czech Republic)
EMPLOYER: Neural Magic
LOCATION: Brno - Tech Park Brno - C (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Brno---Tech-Park-Brno---C/Senior-or-Principal--Software-Engineer---Networking-Services--Brno-Office--Czech-Republic-_R-056356
EXCERPT: Senior or Principal Software Engineer - Networking Services (Brno Office, Czech Republic) Brno - Tech Park Brno - C posted: Posted 10 Days Ago
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TITLE: Sales Specialist 3
EMPLOYER: Neural Magic
LOCATION: Remote CA ON (remote)
SALARY: Not disclosed
POSTED: 2026-05-29
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-CA-ON/Sales-Specialist-3_R-056552-1
EXCERPT: Sales Specialist 3 Remote CA ON posted: Posted 14 Days Ago
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TITLE: Analog and Mixed-Signal IC Design Engineer Intern
EMPLOYER: Neuralink
LOCATION: South San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://boards.greenhouse.io/neuralink/jobs/7565469003?gh_jid=7565469003
EXCERPT: Analog and Mixed-Signal IC Design Engineer Intern South San Francisco, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. To accelerate our pathway to human ready brain-computer interfaces, you will have the opportunity to partner with our electrical, microfabrication, chip designers, neuro and mechanical engineers. Job Responsibilities: We are looking for Analog and Mixed-Signal IC Design Engineer Interns who are interested in architecting and implementing innovative solutions with high energy-efficiency and compact silicon footprint and who thrive with the autonomy to propose creative approaches to problems. Neuralink strives to be, as much as possible, a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals with different skill sets and perspectives, and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all
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TITLE: Modernization Practice Technical Manager
EMPLOYER: Neural Magic
LOCATION: Tokyo (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/Modernization-Practice-Technical-Manager_R-056990-14
EXCERPT: Modernization Practice Technical Manager Tokyo posted: Posted 22 Days Ago
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TITLE: Sr. Consultant - Automation
EMPLOYER: Neural Magic
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-DC/Sr-Consultant---Automation_R-057450
EXCERPT: Sr. Consultant - Automation 2 Locations posted: Posted 11 Days Ago
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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
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TITLE: Specialist Adoption Architect
EMPLOYER: Neural Magic
LOCATION: 4 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-27
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Melbourne/Specialist-Adoption-Architect_R-056615
EXCERPT: Specialist Adoption Architect 4 Locations posted: Posted 16 Days Ago
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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
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TITLE: Customer Success Executive
EMPLOYER: Neural Magic
LOCATION: Mexico City (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Mexico-City/Customer-Success-Executive_R-055270-1
EXCERPT: Customer Success Executive Mexico City posted: Posted 30+ Days Ago
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TITLE: Mechanical Engineer, Implant
EMPLOYER: Neuralink
LOCATION: Austin, Texas, United States (unspecified)
SALARY: $120K-$224K
POSTED: 2024-12-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://boards.greenhouse.io/neuralink/jobs/6304285003?gh_jid=6304285003
EXCERPT: Mechanical Engineer, Implant Austin, Texas, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and manufacturing systems related to our implant, microfabricated thin-film electrodes, wireless charger, and associated accessories. This includes product design, electronics packaging integration, manufacturing line and facility design, test infrastructure design, and related activities for these core products. Job Description and Responsibilities: As a Mechanical Engineer at Neuralink, you will own the design and production of hardware solutions for our brain-computer interface devices. Projects will be highly varied, leveraging both breadth and depth of first principles in mechanical engineering, manufacturing engineering, and test engineering. You will collaborate closely with other engineers (e.g., electrical engineers, chip designers, software engineers, robotics engineers) as well as neuroscientists, neurosurgeons, clinicians, animal care specialists, and other industry experts. You may own a major product from early concept to production, while also diving deep into smaller but essential manufacturing problems to unblock production. Responsibilities will include: - Exploring early device architectures and downselecting to drive design and company direction - Scoping projects and requirements, large and small, to hit aggressive project schedules and ensure timely completion from inception to implementation - Performing market research and gathering feedback from our users (e.g., patients, surgeons, animal care team) to inform product
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TITLE: Automation Sales Specialist
EMPLOYER: Neural Magic
LOCATION: Remote US VA (remote)
SALARY: Not disclosed
POSTED: 2026-05-20
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-VA/Automation-Sales-Specialist_R-054706
EXCERPT: Automation Sales Specialist Remote US VA posted: Posted 23 Days Ago
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TITLE: Electrical Engineer, Implant Embedded Systems
EMPLOYER: Neuralink
LOCATION: Austin, Texas, United States; South San Francisco, California, United States (unspecified)
SALARY: $110K-$238K
POSTED: 2026-04-16
K401_MATCH: yes (not source-backed)
APPLY_URL: https://boards.greenhouse.io/neuralink/jobs/7702524003?gh_jid=7702524003
EXCERPT: Electrical Engineer, Implant Embedded Systems Austin, Texas, United States; South San Francisco, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: We build the electrical systems that make high-bandwidth brain-computer interfaces possible. This includes neural signal acquisition and stimulation to wireless power delivery, embedded processing, and system integration-all within devices small enough to be implanted in the human body and efficient enough to operate under strict thermal and power constraints. Our work sits at the intersection of analog, RF, digital, and biological systems. Many problems in this space do not present clean abstractions or clear failure modes. Success often depends on careful measurement, iteration, and engineering judgment across multiple interacting systems. Job Responsibilities : - Utilize electrical engineering fundamentals and best system design practices to deliver high-performant, reliable, and manufacturable extremely size-constraint systems - Contribute to all phases of system and board design, from system definition to part selection, schematic design, layout, bring up, and design verification - Help conduct R&D investigations and experiments to demonstrate feasibility of new technology for the implant and the charger - Work cross functionally to ensure successful systems integration - Contribute to system improvements that decrease latency and increase battery life, reliability, and safety - Design and deploy systems for implant-charger hardware in the loop testing, and manufacturing line quality
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TITLE: Training Services Account Specialist 3
EMPLOYER: Neural Magic
LOCATION: 6 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-NY/Training-Services-Account-Specialist-3_R-057558
EXCERPT: Training Services Account Specialist 3 6 Locations posted: Posted Today
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TITLE: Senior Principal Software Engineer
EMPLOYER: Neural Magic
LOCATION: Bangalore - Carina (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-18
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Senior-Principal-Software-Engineer_R-057386-1
EXCERPT: Senior Principal Software Engineer Bangalore - Carina posted: Posted 25 Days Ago
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TITLE: Software Development Manager - Compiler, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $213K-$288K
POSTED: 2025-10-13
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/3107270/software-development-manager-compiler-aws-neuron-annapurna-labs
EXCERPT: Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Cupertino, California, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. 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 edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, Neuron Kernel Interface (NKI) compiler, and runtime that natively integrates into popular ML frameworks, such as PyTorch and TensorFlow. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming NeuronDevices available on AWS Trn/Inf instances. You can use NKI to develop, optimize and run new operators directly on NeuronCores while making full use of available compute and memory resources. AWS Neuron and Inferentia are used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and
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TITLE: Cloud Architect - Puteaux, France
EMPLOYER: Neural Magic
LOCATION: Remote France (remote)
SALARY: Not disclosed
POSTED: 2026-05-15
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-France/OpenStack-Architect---Puteaux--France_R-052530-2
EXCERPT: Cloud Architect - Puteaux, France Remote France posted: Posted 28 Days Ago
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TITLE: Staff Functional Safety Engineer, Robotics Compute, DeepMind
EMPLOYER: DeepMind
LOCATION: Mountain View, CA, USA (unspecified)
SALARY: $256K-$279K
POSTED: 2026-06-04
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=CiUAL2FckVL4OzqxwlIlGrjAkPdvjaG7a3X7jQt33zFyy9F38P0nEjsACxwdTMzGkws7oc-wAOvhhaRlxmUcaabwl75pcMCL-hwBC5OH9scZXEbcmNIiZcPNAWwSpd6_5oWpcg%3D%3D_V2&loc=US&title=Staff+Functional+Safety+Engineer
EXCERPT: Staff Functional Safety Engineer, Robotics Compute, DeepMind Mountain View, CA, USA At Google DeepMind Robotics we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use-tools, and act to better solve complex tasks. As a Staff Functional Safety Engineer, you will play a critical role in defining and implementing the functional safety architecture for high-performance robotics compute platforms. You will serve as a key bridge between high-level safety architectures and concrete deliverables. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $256000 - $279000 (USD) + 20% bonus target Learn more about benefits at Google . Design and implement hardware/firmware safety features, including safety islands and fallback mechanisms. Conduct FMEDA and fault injection campaigns to evaluate diagnostics. Lead testing and validation to ensure the entire hardware and software stack achieves strict certification against all targeted safety metrics and industry
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TITLE: Senior Software Engineer -GCP
EMPLOYER: Neural Magic
LOCATION: 5 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-25
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-CO/Senior-Software-Engineer--GCP_R-053100
EXCERPT: Senior Software Engineer -GCP 5 Locations posted: Posted 18 Days Ago
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TITLE: Applied Scientist, AWS Neuron Science Team
EMPLOYER: Amazon
LOCATION: Santa Clara, California, USA (unspecified)
SALARY: $172K-$222K
POSTED: 2025-12-08
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/3139216/applied-scientist-aws-neuron-science-team
EXCERPT: Applied Scientist, AWS Neuron Science Team Santa Clara, California, USA The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides 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, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and
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TITLE: Junior Technical Account Manager (Linux, Kubernetes))
EMPLOYER: Neural Magic
LOCATION: Singapore (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Singapore/Junior-Technical-Account-Manager--Graduate-FASTER-program-_R-054543
EXCERPT: Junior Technical Account Manager (Linux, Kubernetes)) Singapore posted: Posted Yesterday
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TITLE: Analog IC Design and Verification Engineer
EMPLOYER: Neuralink
LOCATION: Fremont, California, United States (unspecified)
SALARY: $125K-$291K
POSTED: 2025-07-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://boards.greenhouse.io/neuralink/jobs/6644300003?gh_jid=6644300003
EXCERPT: Analog IC Design and Verification Engineer Fremont, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Interfaces SoC Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. Job Description and Responsibilities: The engineer will be responsible for analog and mixed-signal chip design, from circuit design to layout and verification. Other responsibilities include: - Design analog circuit building blocks and subsystems in transistor-level to achieve a variety of challenging noise, mismatch, distortion, power consumption, and cost requirements while satisfying top-level specifications - Works with layout teams to oversee block-level layout of multiple blocks - Planning and execution of analog verification plan for portion of IP or chip and runs complex simulations and analyses (e.g., power, performance, linearity, yield) on designs - Designs, programs, and runs complex tests and reviews tests of junior team members; ensures bugs and other issues are identified and appropriately analyzed - Consults with internal or external users and third-party vendors to guide implementation and ensure alignment with their needs and goals Required Qualifications: - Bachelor of Science degree and additional experience in a related technical field for
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TITLE: Marketing Automation & Operations Lead
EMPLOYER: Neural Magic
LOCATION: Bangalore - Carina (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Marketing-Automation---Operations-Lead_R-056224-1
EXCERPT: Marketing Automation & Operations Lead Bangalore - Carina posted: Posted 30+ Days Ago
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TITLE: Mechanical Engineering Intern, Brain Interfaces
EMPLOYER: Neuralink
LOCATION: Austin, Texas, United States (unspecified)
SALARY: Not disclosed
POSTED: 2025-04-16
K401_MATCH: yes (not source-backed)
APPLY_URL: https://boards.greenhouse.io/neuralink/jobs/6545426003?gh_jid=6545426003
EXCERPT: Mechanical Engineering Intern, Brain Interfaces Austin, Texas, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Interfaces Mechanical Engineering Team is responsible for the design, build, and testing of all mechanical systems in our implant and charger. Our team also develops test infrastructure to accelerate hardware development and manufacturing, designs electronics packaging for our charger and implant electronics, and creates tooling to interface the implant with the surgical robot. Job Description and Responsibilities: As a Mechanical Engineering Intern, you will support the design and production of hardware solutions for our brain-computer interface devices, including components for surgical robotics, automation, microfabrication, and more. You will have the opportunity to contribute to projects at various stages from concept through production, applying your mechanical engineering knowledge in the challenging field of brain-computer interfaces. Additionally, you will be expected to: - Design, build, test, and validate systems for the implant and related hardware components - Develop and improve manufacturing processes and equipment to support in-house production - Scope, design and iterate custom tooling and fixturing required for the implant assembly line - Work with Quality, Electrical Engineering, BCI Software, Microfabrication, and Surgery Engineering to define system requirements, verification and validation tests, and more - Adhere to aggressive project schedules and ensure timely completion from inception to implementation Required Qualifications:
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TITLE: Senior Solution Architect - Public Sector
EMPLOYER: Neural Magic
LOCATION: Tokyo (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/Senior-Solution-Architect---Public-Sector_R-056164-1
EXCERPT: Senior Solution Architect - Public Sector Tokyo posted: Posted 30+ Days Ago
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TITLE: Junior or Software Engineer - Networking Services (Brno Office, Czech Republic)
EMPLOYER: Neural Magic
LOCATION: Brno - Tech Park Brno - C (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-15
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Brno---Tech-Park-Brno---C/Junior-or-Software-Engineer---Networking-Services--Brno-Office--Czech-Republic-_R-056355-1
EXCERPT: Junior or Software Engineer - Networking Services (Brno Office, Czech Republic) Brno - Tech Park Brno - C posted: Posted 28 Days Ago
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TITLE: Virtualization Architect - (Remote, UK)
EMPLOYER: Neural Magic
LOCATION: Remote UK (remote)
SALARY: Not disclosed
POSTED: 2026-05-13
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-UK/Virtualization-Architect----Remote--UK-_R-056257-1
EXCERPT: Virtualization Architect - (Remote, UK) Remote UK posted: Posted 30 Days Ago
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TITLE: Strategic Account Manager - Public Sector
EMPLOYER: Neural Magic
LOCATION: Singapore (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Singapore/Strategic-Account-Manager---Public-Sector_R-053649
EXCERPT: Strategic Account Manager - Public Sector Singapore posted: Posted 30+ Days Ago
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TITLE: Senior Software Engineer - Networking
EMPLOYER: Neural Magic
LOCATION: Bangalore - Carina (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-25
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Senior-Software-Engineer---Networking_R-055630
EXCERPT: Senior Software Engineer - Networking Bangalore - Carina posted: Posted 18 Days Ago
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TITLE: Production Set Designer, Robotics, DeepMind
EMPLOYER: DeepMind
LOCATION: Mountain View, CA, USA (unspecified)
SALARY: $164K-$240K
POSTED: 2026-06-04
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=CiUAL2FckToBFj9a1tI4xgUva3yNY8xqVRnYC8_47dGkhcjp4dS6EjsACxwdTEvcNYO4CQ9BpPjFgDl7S9OiCxiVXUxpuZpqdkwuDsR9c76fAft3jAKm8awHZSz-JzT9PFS2PQ%3D%3D_V2&loc=US&title=Production+Set+Designer
EXCERPT: Production Set Designer, Robotics, DeepMind Mountain View, CA, USA Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $164000 - $240000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Architect and execute scene staging for robotic data collection. Focus on set design and deployment, applying high-end production standards to robotic integration. Act as the primary liaison between researchers defining data goals, engineering teams integrating robotic work cells, and production teams managing staging logistics. Coordinate scene layouts with robot work cell configurations. Ensure environments are optimized for high-quality data capture while maintaining safe, efficient robotic operations. Manage inventory, scheduling, and logistics for all set components, props, and equipment. Monitor scene performance and data quality to pinpoint friction points. Identify bottlenecks in set design or integration and implement iterative, systemic improvements. Minimum qualifications: Bachelor's degree or equivalent practical experience. Certification in 5S or Six
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TITLE: Technical Account Manager - OpenShift/RHEL
EMPLOYER: Neural Magic
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Jakarta---MSO/Technical-Account-Manager---OpenStack_R-053343
EXCERPT: Technical Account Manager - OpenShift/RHEL 2 Locations posted: Posted 3 Days Ago
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TITLE: Advanced Technology: R&D Engineer - AI/ML, HPC
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7691343003
EXCERPT: Advanced Technology: R&D Engineer - AI/ML, HPC Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing,
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TITLE: Solution Architect - Enterprise
EMPLOYER: Neural Magic
LOCATION: Bangkok - MSO - Gaysorn (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangkok---MSO---Gaysorn/Solution-Architect---Enterprise_R-052095
EXCERPT: Solution Architect - Enterprise Bangkok - MSO - Gaysorn posted: Posted 2 Days Ago
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TITLE: Senior Account Solution Architect - Defence
EMPLOYER: Neural Magic
LOCATION: Canberra (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-25
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Canberra/Senior-Account-Solution-Architect_R-056392-1
EXCERPT: Senior Account Solution Architect - Defence Canberra posted: Posted 18 Days Ago
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