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

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

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

Jobs (100 total):

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TITLE: Cloud Infrastructure Engineer
EMPLOYER: Thunder Compute
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/thundercompute/927a922b-c607-4b0e-a6f2-451571a537f4
EXCERPT: Cloud Infrastructure Engineer San Francisco | OnSite COMPANY Thunder Compute is the lowest cost, easiest GPU cloud for developers. We're a 4-person team with $4.5M raised from top tier investors including Y Combinator and Matrix Partners. There are two parts to our company. 1) we are a cloud platform where customers can rent GPUs just like they would from Coreweave, Lambda, AWS, etc., and 2) we are building systems software to use GPUs more efficiently than these competitors. ROLE As a cloud infrastructure engineer, you will work on the GoLang backbone for our cloud platform. Your days will be a mix of working to solve problems for customers and building resilient, stable production infrastructure. This is a fast-paced role where you are expected to learn quickly; we will have you jump in from day one. Our infrastructure is majority GoLang. We use a non-standard Kubernetes deployment as a form of hypervisor, with Go scripting for controls and auxiliary services for everything from storage to billing to networking. If you worked at a large company and felt restricted working on a single piece of a huge machine, look no further. At Thunder Compute you will work on complicated production infrastructure, learning quickly while interfacing with customers and owning broad scope across the platform. RESPONSIBILITIES CORE TECHNICAL SKILLS: - GoLang, some Python and Next.js - Kubernetes (unconventional deployment) - Experience owning production systems - Ability to quickly solve problems for clients MUST HAVES: - Fast speed to output, with high attention to
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TITLE: Systems Software Engineer (C++)
EMPLOYER: Thunder Compute
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/thundercompute/2efae53b-817c-43e7-9da3-72694813f608
EXCERPT: Systems Software Engineer (C++) San Francisco | OnSite COMPANY Thunder Compute is the lowest cost, easiest GPU cloud for developers. We're a 4-person team with $4.5M raised from top tier investors including Y Combinator and Matrix Partners. There are two parts to our company. 1) we are a cloud platform where customers can rent GPUs just like they would from Coreweave, Lambda, AWS, etc., and 2) we are building systems software to use GPUs more efficiently than these competitors. ROLE Your work will focus on core C++ systems development: performance optimization, systems debugging, and research. You will spend your days bouncing between the weeds of complex, performance-critical systems in a production, customer-facing environment. This work is not easy - but if you're the right candidate, this is a feature, not a bug. CORE TECHNICAL SKILLS: - Top 0.1% C++ ability - Experience optimizing NIC/GPU performance - Deep understanding of low-level networking, compilers, and similar systems - Experience in latency-sensitive environments MUST HAVES: - You've got the dog in you: you will own your work and be responsible for production systems from day 1 - High speed-to-output - Willingness to assume a senior leadership role as we scale - Strong communication skills under pressure PREFERRED: - CS Bachelor's degree from top 50 US university, 3.5+ GPA - 1+ year of experience at a trading firm (Citadel, Jane Street, etc.), hardware company (NVIDIA, SambaNova), systems research or similar LOGISTICS - You'll report to Co-founder/CTO Brian (ex-Citadel quant dev) - This role is
---
TITLE: Sr. Financial Advisor CIRO-ID (Urban)
EMPLOYER: Canadian Imperial Bank of Commerce
LOCATION: Thunder Bay, ON (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
K401_MATCH: yes (not source-backed)
APPLY_URL: https://cibc.wd3.myworkdayjobs.com/search/job/Thunder-Bay-ON/Sr-Financial-Advisor-CIRO-ID--Urban-_2607434
EXCERPT: Sr. Financial Advisor CIRO-ID (Urban) Thunder Bay, ON posted: Posted 11 Days Ago
---
TITLE: Assistant Manager(07756) - 2858 Thunder Dr.
EMPLOYER: Domino's
LOCATION: Oceanside, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/Dominos/744000130942441-assistant-manager-07756-2858-thunder-dr-
EXCERPT: Assistant Manager(07756) - 2858 Thunder Dr. Oceanside, CA, United States Company Description: Job Description: Job Duties • Operate all equipment. • Stock ingredients from delivery area to storage, work area, walk-in cooler. • Prepare product. • Receive and process telephone orders. • Take inventory and complete associated paperwork. • Clean equipment and facility approximately daily. • Deliver product by car and then to door of customer. Deliver flyers and door hangers. Requires Valid driver's license with safe driving record meeting company standards. Access to insured vehicle which can be used for delivery. Must pass a background check and have open availability. Training Orientation and training provided on the job. Communication Skills Ability to comprehend and give correct written instructions. Ability to communicate verbally with customers and co-workers to process orders both over the phone and in person. Ability to train and lead. Essential Functions/Skills Ability to add, subtract, multiply, and divide accurately and quickly (may use calculator). Must be able to make correct monetary change. Verbal, writing, and telephone skills to take and process orders. Motor coordination between eyes and hands/fingers to rapidly and accurately make precise movements with speed. Ability to enter orders using a computer keyboard or touch screen. Ability to maintain cost controls. Navigational skills to read a map, locate addresses within designated delivery area. Must navigate adverse terrain including multi-story buildings, private homes and other delivery sites while carrying product. Work Conditions EXPOSURE TO: Varying and sometimes adverse weather conditions when removing trash and performing other
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TITLE: Electrician - Black Thunder, Wright, WY
EMPLOYER: Core Natural Resources Inc
LOCATION: Wright, WY, USA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.dayforcehcm.com/en-US/consol/CANDIDATEPORTAL/jobs/790
EXCERPT: Electrician - Black Thunder, Wright, WY Wright, WY, USA Electrician - Black Thunder, Wright, WY Wright, WY, USA Posted Thursday, January 15, 2026 RESPONSIBILITIES INCLUDE: Accept, embrace, and promote the following core values of Core Natural Resources: Safety, Sustainability, and Continuous Improvement Performs all maintenance and repair on mine related equipment, troubleshooting, electrical construction, general housekeeping of work areas, etc. This job requires working rotating shifts with shift schedules dependent upon operational needs. Additionally, technician maybe assigned to other mine maintenance work groups. MINIMUM REQUIRED SKILLS, EDUCATION AND EXPERIENCE: Must be at least 18 years old. Must have 1 to 2 years of formal electrical training. Must have a minimum of 3-5 years' experience in Electrical Maintenance. Must have a work ethic that allows him/her to demonstrate his/her ability daily with minimal supervision. Must have excellent interpersonal/communication skills and an ability to work with others in a team environment. PREFERRED EDUCATION & EXPERIENCE: MSHA certification on low, medium and high voltage, or able to obtain required MSHA low, medium and high voltage certification within one (1) year of acceptance for this job. Acquired experience in control systems, ac/dc and maintenance of power distribution systems, haulage equipment, plc's, shovels and dragline. Read More Req# 130
---
TITLE: Black Thunder Mine - Engineering Technician
EMPLOYER: Core Natural Resources Inc
LOCATION: Wright, WY, USA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.dayforcehcm.com/en-US/consol/CANDIDATEPORTAL/jobs/1148
EXCERPT: Black Thunder Mine - Engineering Technician Wright, WY, USA Black Thunder Mine - Engineering Technician Wright, WY, USA Posted Thursday, April 23, 2026 Engineering Technician (Surveyor) Black Thunder Mine JOB LOCATION: Black Thunder Mine, Wright, WY FLSA CLASSIFICATION: Exempt GRADE ASSIGNMENT: NX.09 NUMBER OF OPENINGS: 1 RESPONSIBILITIES INCLUDE: Oversee the surface surveying effort. Perform surface surveying as part of the surveying team. Prepare reports and update mine maps and profiles using AutoCAD and Microsoft Office. Maintain AutoCAD and I-Site files. Work with engineers in design of new mine projections and projects. Interface daily with supervisors. All work must be performed in strict compliance with established environmental and safety procedures. Other duties as assigned. REQUIRED SKILLS, EDUCATION & EXPERIENCE: Associate degree in surveying - qualified experience may be substituted for degree. Proficient with AutoCAD and I-Site Studio software. Proficient with Microsoft Office Suite. Proficient with setup and operation of survey level equipment. Proficient with setup and operation of Trimble GPS and I-Site survey equipment. Solid knowledge and experience of surveying fundamentals, calculations, and note taking techniques. POSITION WILL REPORT TO: Engineering Supervisor Qualified internal candidates interested in this position should submit an internal application by June 13, 2025 Qualified external candidates interested in this position should apply at corenaturalresources.com Read More Req# 195
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TITLE: Financial Advisor - Balmoral & Hewitson Branch - Thunder Bay, ON
EMPLOYER: Bank of Nova Scotia
LOCATION: Thunder Bay (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.scotiabank.com/job/Thunder-Bay-Financial-Advisor-Balmoral-&-Hewitson-Branch-Thunder-Bay%2C-ON-ON-P7B6B5/601906017/
EXCERPT: Financial Advisor - Balmoral & Hewitson Branch - Thunder Bay, ON Thunder Bay Requisition ID: 259538 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. About the role What your role will be… Financial Advisor At Scotiabank we help employees build their futures - where they can be themselves, and win together. With a commitment to diversity and inclusion and a performance-oriented culture that includes coaching, learning, and development - there are endless possibilities. At Scotiabank - you can make an impact. You help make the futures of our 25 million customers happen. You can find your future here. What you'll be doing… Our Advisors are customer-centric and able to connect with people in a relatable way. As an essential member of the Canadian Banking Branch network, our focus is to provide exceptional service throughout the customer's journey by: Taking a proactive approach to discovering our customer needs, listening to understand what they are asking for Educating our customers, providing relevant insights and expert advice Building our customer's comprehensive plans using a holistic approach to help them achieve their goals Nurturing strong, long-standing relationships Developing, retaining and growing the branch business by delivering against individual and team sales goals that support a positive customer experience What you need to succeed… The appetite and drive to build strong customer relationships and deliver excellence customer service The proven ability to meet and exceed sales targets
---
TITLE: Advanced Compute Executive Assistant
EMPLOYER: Hewlett-Packard
LOCATION: Spring, Texas, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://hp.eightfold.ai/careers/job/41942380
EXCERPT: Advanced Compute Executive Assistant Spring, Texas, United States of America
---
TITLE: Strategic Finance, Compute
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-21
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/b4196174-9cc3-487d-9d21-848bc283b80f
EXCERPT: Strategic Finance, Compute San Francisco, California, United States About the Team The Compute & Infrastructure Strategy team handles strategy and execution of OpenAI's compute roadmap. This team's key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role Compute is a key lever for OpenAI and AI progress. We are seeking a Strategic Finance Compute Lead to provide finance leadership for our compute and infrastructure spend and play a significant role in shaping our long-term compute strategy. You will play a critical role developing financial models for all areas of compute, analyzing spend patterns, and providing critical insights to optimize and plan for our future compute needs. This role will be a key partner to our scaling and supercomputing engineering teams providing financial expertise and guidance to optimize our capacity investments and drive strategic decision-making, while collaborating with other members of the finance organization to align our compute strategy with broader financial considerations. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own and develop financial models across different elements of compute (GPUs, CPUs, storage and networking) - Lead strategic financial analysis for long-term capacity initiatives, working closely with scaling and supercomputing engineering teams - Maintain deep expertise on compute
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TITLE: Retail Store Associate Temporary Part Time Winners/Homesense
EMPLOYER: TJX Companies
LOCATION: Thunder Bay, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://wd1.myworkdaysite.com/recruiting/tjx/TJX_EXTERNAL/job/Thunder-Bay-ON-P7B-5L6/retail-Store-Associate-Temporary-Part-Time-Winners-Homesense_REQ125662/apply
EXCERPT: Retail Store Associate Temporary Part Time Winners/Homesense Thunder Bay, Ontario, Canada Winners. At TJX Canada, every day brings new opportunities for growth, exploration, and achievement. You'll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritiz...
---
TITLE: Financial Advisor Arthur & Parkdale Branch, Thunder Bay ON
EMPLOYER: Bank of Nova Scotia
LOCATION: Thunder Bay (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.scotiabank.com/job/Thunder-Bay-Financial-Advisor-Arthur-&-Parkdale-Branch%2C-Thunder-Bay-ON-ON-P7E6E2/602188617/
EXCERPT: Financial Advisor Arthur & Parkdale Branch, Thunder Bay ON Thunder Bay Requisition ID: 260484 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. About the role What your role will be… Financial Advisor At Scotiabank we help employees build their futures - where they can be themselves, and win together. With a commitment to diversity and inclusion and a performance-oriented culture that includes coaching, learning, and development - there are endless possibilities. At Scotiabank - you can make an impact. You help make the futures of our 25 million customers happen. You can find your future here. What you'll be doing… Our Advisors are customer-centric and able to connect with people in a relatable way. As an essential member of the Canadian Banking Branch network, our focus is to provide exceptional service throughout the customer's journey by: Taking a proactive approach to discovering our customer needs, listening to understand what they are asking for Educating our customers, providing relevant insights and expert advice Building our customer's comprehensive plans using a holistic approach to help them achieve their goals Nurturing strong, long-standing relationships Developing, retaining and growing the branch business by delivering against individual and team sales goals that support a positive customer experience What you need to succeed… The appetite and drive to build strong customer relationships and deliver excellence customer service The proven ability to meet and exceed sales targets
---
TITLE: Principal Engineer, Compute Fleet Management
EMPLOYER: Databricks
LOCATION: Bellevue, Washington (unspecified)
SALARY: $264K-$322K
POSTED: 2025-12-11
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
APPLY_URL: https://databricks.com/company/careers/open-positions/job?gh_jid=8334738002
EXCERPT: Principal Engineer, Compute Fleet Management Bellevue, Washington # P-725 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. About the Team: Join the Core of Databricks Infrastructure The Compute Infra Team is the engine behind all of Databricks' products and Control Plane services. We build and scale the foundational compute infrastructure that enables every Databricks customer to succeed, operating one of the largest and most dynamic data and AI clouds in the world. Mission: Define the Future of Cloud Compute Efficiency and Scale As the Technical Lead for Compute Fleet Management, you won't just manage a fleet-you will set the standard for how Databricks consumes and optimizes compute across all three major clouds (AWS, Azure, and GCP). This is a mission-critical role with direct impact on our gross margin and customer experience. Your mandate includes: - Pioneering Fleet Optimization: Provisioning and pooling of O(Billion)s of cloud resources to achieve peak workload performance, industry-leading efficiency, and robust resource isolation. - Delivering Hyper-Scale Resilience: Build the architecture that guarantees horizontal scaling and resilience against zonal or even cloud account-level failures, ensuring Databricks is always on. - Owning the Critical Path: Lead the development of the lowest-dependency systems required to bootstrap and manage
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TITLE: Financial Services Representative II
EMPLOYER: Canadian Imperial Bank of Commerce
LOCATION: Thunder Bay, ON (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://cibc.wd3.myworkdayjobs.com/search/job/Thunder-Bay-ON/Financial-Services-Representative-II_2612427
EXCERPT: Financial Services Representative II Thunder Bay, ON posted: Posted 2 Days Ago
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TITLE: Allstate Sales Agent
EMPLOYER: The Allstate Corporation
LOCATION: Thunder Bay Agency (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://allstate.wd5.myworkdayjobs.com/allstate_careers/job/Thunder-Bay-Agency/Allstate-Sales-Agent_R30078
EXCERPT: Allstate Sales Agent Thunder Bay Agency posted: Posted 30+ Days Ago
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TITLE: Machine Learning Compute Efficiency Lead, Infrastructure & Planning
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-04-23
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200659537/machine-learning-compute-efficiency-lead-infrastructure-planning?team=MLAI
EXCERPT: Machine Learning Compute Efficiency Lead, Infrastructure & Planning Cupertino, United States of America Apple's Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the critical intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Apple's software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development across the company. As foundation models become increasingly central to Apple's user experiences, maximizing the efficiency of our ML compute is paramount. In this role, you will focus relentlessly on compute efficiency, ensuring that Apple's models run as fast, reliably, and cost-effectively as possible. You will tackle massive optimization challenges, from maximizing hardware utilization across GPUs, TPUs, and custom Apple Silicon, to shaping workload scheduling and capacity allocation for large model serving. We are seeking a Senior Architect with deep expertise in ML infrastructure to act as a linchpin for Apple's foundational inference strategy. You will be instrumental in defining, establishing, and monitoring compute efficiency metrics across the software engineering organization. By partnering closely with model developers and infrastructure providers, your work will directly reduce serving costs, shape core engineering decisions, and enable the highly efficient, scalable inference required to power Apple Intelligence for hundreds of millions of users. - Own and support ML compute management for Apple's inference workloads (GPU, TPU, and custom silicon) to enable large-scale model serving. - Collaborate closely with Apple Intelligence and ML
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TITLE: Assistant Executive Housekeeper - Full Time /Year Round - Mountain Thunder Lodge, Breckenridge, CO
EMPLOYER: Vail Resorts
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.jobvite.com/vail-resorts/job/oiK9ZfwU
EXCERPT: Assistant Executive Housekeeper - Full Time /Year Round - Mountain Thunder Lodge, Breckenridge, CO Assistant Executive Housekeeper - Full Time /Year Round - Mountain Thunder Lodge, Breckenridge, CO
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TITLE: Compute Orchestration & Scheduling
EMPLOYER: Microsoft
LOCATION: US (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://apply.careers.microsoft.com/careers/job/1970393556629380
EXCERPT: Compute Orchestration & Scheduling US
---
TITLE: Compute Server Platform Architect
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7635821003
EXCERPT: Compute Server Platform Architect 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 a Compute / Server Platform Architect on the Cluster Architecture Team, you will own the server-side platform architecture that enables Cerebras CS3-based AI clusters (training and inference) to deliver predictable performance, scalability, and reliability. Our accelerators are network-attached, so the x86 server fleet is a first-class part of the end-to-end system: it runs critical-path runtime functions (for example orchestration, prompt caching, and IO/control services) and must be co-designed with software for token-level latency, throughput, and cost efficiency. You will
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TITLE: Staff/Sr. ML Compute Efficiency Engineer
EMPLOYER: Apple
LOCATION: Santa Clara, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-01-23
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200619215/staff-sr-ml-compute-efficiency-engineer?team=MLAI
EXCERPT: Staff/Sr. ML Compute Efficiency Engineer Santa Clara, United States of America Scaling machine learning workloads across thousands of GPUs and TPUs creates challenges that few engineers ever encounter. In Apple's Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing. As a performance engineer in the ML Compute Efficiency team, you'll tackle ambiguous systems challenges, identify inefficiencies and build solutions that maximize accelerator utilization, reduce idle and fragmented capacity, and minimize recovery periods. This includes analyzing accelerator performance, digging into various parallelism techniques, and refining workload scheduling and orchestration across the compute fleet. Characterize ML workload behavior through profiling, benchmarks and metrics. Dive into unfamiliar codebases to prototype changes, evaluate tradeoffs, and build production-ready solutions. Design systems for efficient recovery from failures and preemptions. Create tools to identify and alert bottlenecks across applications and frameworks. Use workload-driven insights to influence next-generation hardware selection and procurement decisions. Collaborate closely with ML researchers and infrastructure engineers to address inefficiencies. Drive impact through hands-on contribution and mentorship. Minimum Qualifications: Experience with large-scale distributed systems for AI/ML workloads running on GPUs or TPUs. Strong software engineering skills with experience developing and optimizing training frameworks (e.g. PyTorch, JAX) using C/C++ or Python. Experience working on cross-functional projects with ML research and infrastructure teams. Familiarity with model architectures and various training techniques. Bachelor's degree in Computer Science or equivalent experience, with 7+ years of industry experience. Preferred
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TITLE: Driver Helper
EMPLOYER: Sysco
LOCATION: Sysco Thunder Bay (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://sysco.wd5.myworkdayjobs.com/syscocareers/job/Sysco-Thunder-Bay/Driver-Helper_R249438-1
EXCERPT: Driver Helper Sysco Thunder Bay posted: Posted 30+ Days Ago
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TITLE: Senior Cloud Operations Engineer
EMPLOYER: Oracle
LOCATION: BENGALURU, KARNATAKA, India, IN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 14 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/328019/
EXCERPT: Senior Cloud Operations Engineer BENGALURU, KARNATAKA, India, IN At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Compute is one of the core organisations within OCI. We are responsible for providing Compute power i.e. VMs and BMs. Cloud pretty much cannot exists without our org. The Compute org comprises of a family of critical foundational infrastructure services that drive OCI's hardware lifecycle activities Work with product team on the shared full stack ownership of a collection of services and/or technology areas. Understand the end-to-end configuration, technical dependencies, and overall behavioural characteristics of production services. Responsible for the mitigating critical customer incidents, or deployments or testing required to improve security, performance, availability, and scalability of service. Authority for end-to-end performance and operability. Partner with development teams in meeting SLA to unblock customers. Articulate technical characteristics of services and technology areas and guide Development Teams to engineer and add premier capabilities to the Oracle Cloud service portfolio. Understand and communicate the scale, capacity, security, performance attributes, and requirements of the service and technology stack. Demonstrate clear understanding of automation and orchestration principles. Act as ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Utilise a deep understanding of service topology and their dependencies required
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TITLE: High Performance Computing Engineer
EMPLOYER: Microsoft
LOCATION: US (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-11
K401_MATCH: yes (not source-backed)
APPLY_URL: https://apply.careers.microsoft.com/careers/job/1970393556752268
EXCERPT: High Performance Computing Engineer US
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TITLE: ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $157K-$213K
POSTED: 2026-05-26
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10430432/asic-engineer-ii-cloud-scale-machine-learning-acceleration-team
EXCERPT: ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team Cupertino, California, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't
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TITLE: Principal Machine Learning Engineer, Accelerated Apache Spark
EMPLOYER: NVIDIA Corporation
LOCATION: US, CA, Santa Clara (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
K401_MATCH: yes (not source-backed)
APPLY_URL: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Machine-Learning-Engineer--Accelerated-Apache-Spark_JR2018591
EXCERPT: Principal Machine Learning Engineer, Accelerated Apache Spark US, CA, Santa Clara posted: Posted 22 Days Ago
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TITLE: Senior ML Kernel Performance Engineer
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 151K-252K
POSTED: 2025-08-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3059954/senior-ml-kernel-performance-engineer
EXCERPT: Senior ML Kernel Performance Engineer Toronto, Ontario, CAN The Annapurna Labs team at Amazon builds Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for Amazon's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The Amazon Neuron SDK, developed by the Annapurna Labs team at Amazon, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed
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TITLE: ML Systems Performance Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-21
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7599454003
EXCERPT: ML Systems Performance Engineer 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 Engineers on the inference performance team operate at the intersection of hardware and software, driving end-to-end model inference speed and throughput. Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development of tooling for performance projection and diagnostics. Responsibilities - Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models. - Optimize and debug our kernel micro code and compiler algorithms to elevate
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TITLE: Senior Runtime Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-28
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7510635003
EXCERPT: Senior Runtime Engineer 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 We are building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency. You will design and develop high-performance distributed software that orchestrates massive compute and data pipelines across heterogeneous clusters. Your work will push the limits of concurrency, throughput, and scalability-enabling efficient execution of models at massive scale. This role sits at the intersection of systems engineering and machine learning performance, demanding both architectural depth and low-level implementation skills. You will help
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TITLE: ML Performance Benchmarking Engineer
EMPLOYER: Cerebras Systems
LOCATION: Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7669166003
EXCERPT: ML Performance Benchmarking Engineer Toronto, Ontario, 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 Core Platform group is at the heart of Cerebras' mission to deliver the world's fastest AI inference. Our team builds the foundational software and hardware infrastructure that powers low-latency, high-speed, high-throughput deployment on the Cerebras Wafer-Scale Engine (WSE). We are responsible for the full stack-from model compilation and scheduling down to custom hardware kernels and driver development. The ML Performance Benchmarking team plays a pivotal role in shaping the performance and scalability of AI inference on one of the most
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TITLE: Software Development Engineer II - FinTech, FinTech
EMPLOYER: Amazon
LOCATION: Hyderabad, Telangana, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10417622/software-development-engineer-ii-fintech-fintech
EXCERPT: Software Development Engineer II - FinTech, FinTech Hyderabad, Telangana, IND Enabling Amazon's explosive growth requires top talent in our Finance Technology (FinTech) organization. FinTech is seeking a Software Development Engineer to be a part of Thunder team. At FinTech we ingest millions of transactions and pay out billions of dollars to our vendors. Hence, we put compliance as a critical tenant in all the software we build and operate. We work with business teams to identify fraud opportunities and design controls to remediate the risk. We spot suspicious payment activities and flag them for further review. As a software engineer in Thunder team you need to have high situational awareness, attention to detail and agility. The solutions you develop must scale for millions of transactions and also be highly secure since we deal with personally identifiable information. As part of this role you will also be responsible for building the next generation duplicate detection system. You will ensure highest controller ship while also delight customers by learning from the user feedback. The tool will evolve and to this end you will use AWS services and ML models. We are looking for candidates with 1. 4+ years of industry experience and an engineering degree in Computer Science or its equivalent 2. Flare to innovate with experience in Scala, Java or any object oriented programming language. 3. Demonstrated experience in SQL and data modeling in relational databases 4. Strong problem-solving skills and attention to detail. 5. Knowledge on data structures and algorithms
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TITLE: Staff Inference ML Runtime Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-25
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7523546003
EXCERPT: Staff Inference ML Runtime Engineer 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 Systems is dedicated to enabling our fast generative inference solution through simple APIs powered by a distributed runtime that runs on large clusters of our own hardware. Our mission is to empower enterprises, developers, and researchers to unlock the full potential of our platform, leveraging its performance, scalability, and flexibility. The team works closely with cross-functional groups, including compiler developers, cluster orchestrators, ML scientists, cloud architects, and product teams, to deliver high-impact
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TITLE: Delivery Driver(07756) - 2858 Thunder Dr.
EMPLOYER: Domino's
LOCATION: Oceanside, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/Dominos/744000130979699-delivery-driver-07756-2858-thunder-dr-
EXCERPT: Delivery Driver(07756) - 2858 Thunder Dr. Oceanside, CA, United States Company Description: Job Description: Job Duties • Operate all equipment. • Stock ingredients from delivery area to storage, work area, walk-in cooler. • Prepare product. • Receive and process telephone orders. • Take inventory and complete associated paperwork. • Clean equipment and facility approximately daily. • Deliver product by car and then to door of customer. Deliver flyers and door hangers. Requires Valid driver's license with safe driving record meeting company standards. Access to insured vehicle which can be used for delivery. Training Orientation and training provided on the job. Communication Skills Ability to comprehend and give correct written instructions. Ability to communicate verbally with customers and co-workers to process orders both over the phone and in person. Essential Functions/Skills Ability to add, subtract, multiply, and divide accurately and quickly (may use calculator). Must be able to make correct monetary change. Verbal, writing, and telephone skills to take and process orders. Motor coordination between eyes and hands/fingers to rapidly and accurately make precise movements with speed. Ability to enter orders using a computer keyboard or touch screen. Navigational skills to read a map, locate addresses within designated delivery area. Must navigate adverse terrain including multi-story buildings, private homes and other delivery sites while carrying product. Work Conditions EXPOSURE TO: Varying and sometimes adverse weather conditions when removing trash and performing other outside tasks. In-store temperatures range from 36 degrees in cooler to 90 degrees and above in some work areas.
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TITLE: Customer Service Rep(07756) - 2858 Thunder Dr.
EMPLOYER: Domino's
LOCATION: Oceanside, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/Dominos/744000130978970-customer-service-rep-07756-2858-thunder-dr-
EXCERPT: Customer Service Rep(07756) - 2858 Thunder Dr. Oceanside, CA, United States Company Description: Job Description: Job Duties • Operate all equipment. • Stock ingredients from delivery area to storage, work area, walk-in cooler. • Prepare product. • Receive and process telephone orders. • Take inventory and complete associated paperwork. • Clean equipment and facility approximately daily. Training Orientation and training provided on the job. Communication Skills Ability to comprehend and give correct written instructions. Ability to communicate verbally with customers and co-workers to process orders both over the phone and in person. Essential Functions/Skills Ability to add, subtract, multiply, and divide accurately and quickly (may use calculator). Must be able to make correct monetary change. Verbal, writing, and telephone skills to take and process orders. Motor coordination between eyes and hands/fingers to rapidly and accurately make precise movements with speed. Ability to enter orders using a computer keyboard or touch screen. Work Conditions EXPOSURE TO: Varying and sometimes adverse weather conditions when removing trash and performing other outside tasks. In-store temperatures range from 36 degrees in cooler to 90 degrees and above in some work areas. Sudden changes in temperature in work area and while outside. Fumes from food odors. Exposure to cornmeal dust. Cramped quarters including walk-in cooler. Hot surfaces/tools from over up to 500 degrees or higher. Sharp edges and moving mechanical parts. SENSING: Talking and hearing on the telephone. Near and mid-range vision for most in-store tasks. Depth perception. Ability to differentiate between hot and cold surfaces.
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TITLE: Senior Cloud SRE - AI/ML Platform & GPU Compute
EMPLOYER: Wayve
LOCATION: London (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-11
APPLY_URL: https://wayve.firststage.co/jobs?gh_jid=8458272002
EXCERPT: Senior Cloud SRE - AI/ML Platform & GPU Compute London About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale). This is a founding Cloud SRE role. You won't inherit a mature SRE function, you'll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large
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TITLE: Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-03-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/2925690/sr-sde-mla-hardware-software-co-design-annapurna-labs-machine-learning-acceleration
EXCERPT: Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us! As a senior SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build and test our next generation AI chips. You will write bare-metal software and ML workloads to verify the end-to-end functionality and performance of the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC)
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TITLE: Manager - Environmental Services
EMPLOYER: Hydro One Limited
LOCATION: City To Be Determined (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://jobs.hydroone.com/job/To-Be-Determined-Manager-Environmental-Services-ON/1291242547/
EXCERPT: Manager - Environmental Services City To Be Determined 51745 - City To Be Determined - Hiring Salary Range: $- / year Hydro One is proud to be the largest electricity transmission and distribution provider in Ontario, serving nearly 1.5 million customers. We have a long history in the industry with our roots dating back over 110 years to 1906. Since then, we have worked to grow and evolve to meet the changing needs of our customers and communities across Ontario. Today, we're focused on providing exceptional customer service and ensuring we are building safe communities where we live, work and play. It's an exciting time to join the team at Hydro One! Location can be in Toronto, Markham, Barrie, Burlington, Sudbury, Thunder Bay and London, ON Position Overview The Manager, Environmental Services (Environmental Construction Management) will lead a team of approximately 8-10 professional staff responsible for delivering environmental requirements and providing owner oversight for major capital transmission projects and across Ontario. This role involves managing a high-performance, collaborative team to ensure projects are completed on time, on budget, and in compliance with environmental regulations, while maintaining social acceptability. The Manager will be responsible for building and managing a team focused on maintaining environmental due diligence during the permitting and construction execution aspects of Hydro One's largest projects. This will involve, but not be limited to: participating in Environmental Assessments (EA),
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TITLE: Site Reliability Engineer 5 - Live SRE
EMPLOYER: Netflix
LOCATION: USA - Remote (remote)
SALARY: $388K-$558K
POSTED: 2026-03-24
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://explore.jobs.netflix.net/careers/job/790315023479?microsite=netflix.com
EXCERPT: Site Reliability Engineer 5 - Live SRE USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. About the role In this role, you will support our live streaming events by focusing on cloud traffic(API Gateway, IPC between microservices). You will prepare and execute various load tests to ensure both individual critical applications and overall cloud infrastructure can handle sudden increases in API traffic, especially at the start of events. You will also implement end-to-end observability and visualize the data to achieve the desired availability at scale. You will impact multiple areas of the live event lifecycle, from the planning phase through testing and event launch days. Responsibilities Drive continual improvement in observability, monitoring, and scalability with the primary goal to solve the thundering herd problem with cloud traffic (API gateway, IPC between microservices) for live streaming. Implement, automate, execute, and analyze the results from a broad range of live streaming delivery focused functional, performance, resilience, and fault injection testing. Write and review code, develop documentation, and debug complex problems between systems and components. Coordination, collaboration, and partnership across multiple stakeholders for the smooth execution of live-streaming events Participate in an on-call rotation and be able to work
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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
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TITLE: Computational Scientist 3, Spatial Omics & Computational Pathology
EMPLOYER: Genentech, Inc.
LOCATION: South San Francisco, California, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-28
K401_MATCH: yes (not source-backed)
APPLY_URL: https://roche.wd3.myworkdayjobs.com/ROG-A2O-GENE/job/South-San-Francisco/Computational-Scientist-3--Spatial-Omics---Computational-Pathology_202605-113474/apply
EXCERPT: Computational Scientist 3, Spatial Omics & Computational Pathology South San Francisco, California, United States of America Exciting opportunity for a Computational Scientist III to drive innovation in spatial omics and computational pathology. Lead advanced machine learning and computer vision projects, architect AI pipelines, and collaborate with experts in digital pathology. Join our cutting-edge team to shape the future of precision medicine and spatial data analysis.
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TITLE: Performance Engineer
EMPLOYER: Cerebras Systems
LOCATION: Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-09-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7112048003
EXCERPT: Performance Engineer Toronto, Ontario, 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 Join Cerebras as a Performance Engineer within our innovative Runtime Team. Our groundbreaking CS-3 system, hosted by a distributed set of modern and powerful x86 machines, has set new benchmarks in high-performance ML training and inference solutions. It leverages a dinner-plate sized chip with 44GB of on-chip memory to surpass traditional hardware capabilities. This role will challenge and expand your expertise in optimizing AI applications and managing computational workloads primarily on the x86 architecture that run our Runtime driver. Responsibilities - Focus on CPU
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TITLE: Computer Based Training Specialist (Computer Based Training)
EMPLOYER: The Boeing Company
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://boeing.wd1.myworkdayjobs.com/External_Careers/job/USA---Maryland-Heights-MO/Computer-Based-Training-Specialist--Computer-Based-Training-_JR2026513245-1
EXCERPT: Computer Based Training Specialist (Computer Based Training) 2 Locations posted: Posted Yesterday
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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: LLM Inference Performance & Evals Engineer
EMPLOYER: Cerebras Systems
LOCATION: Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-07-24
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/6658665003
EXCERPT: LLM Inference Performance & Evals Engineer Toronto, Ontario, 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 Join the inference model team dedicated to bring up the state-of-the-art models, numerically validating and accelerating new model ideas on wafer-scale hardware. You will prototype architectural tweaks, build performance-eval pipelines, and turn hard numbers into changes that land in production. Key Responsibilities - Prototype and benchmark cutting-edge ideas: new attentions, MoE, speculative decoding, and many more innovations as they emerge. - Develop agent-driven automation that designs experiments, schedules runs, triages regressions, and drafts pull-requests. - Work closely with compiler, runtime,
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TITLE: High Performance Computing (HPC) Computational Scientist
EMPLOYER: General Dynamics Information Technology
LOCATION: USA OH Dayton (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://gdit.wd5.myworkdayjobs.com/External_Career_Site/job/USA-OH-Dayton/High-Performance-Computing--HPC--Computational-Scientist_RQ219601-1
EXCERPT: High Performance Computing (HPC) Computational Scientist USA OH Dayton posted: Posted 30+ Days Ago
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TITLE: Sr. Advanced Compute Specialist SA - National Security, National Security Specialists Solutions Architecture Team
EMPLOYER: Amazon
LOCATION: Arlington, Virginia, USA (unspecified)
SALARY: $154K-$208K
POSTED: 2026-04-23
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10401277/sr-advanced-compute-specialist-sa-national-security-national-security-specialists-solutions-architecture-team
EXCERPT: Sr. Advanced Compute Specialist SA - National Security, National Security Specialists Solutions Architecture Team Arlington, Virginia, USA Amazon Web Services is seeking an Advanced Computing Solutions Architect to support our Intelligence Community (IC), Department of Energy (DoE), and broader U.S. Federal Government customers. Are you excited to help U.S. Government customers leverage performant networks, computing nodes, and emerging technologies to solve the most important workloads in advanced computing? From high performance computing (HPC) and quantum computing to large-scale analytics, modeling, and simulation, this role sits at the forefront of next-generation compute. Thrilled to be a key part of Amazon, who has been investing in agile and elastic compute for decades, pioneering and shaping the world's technology? Come join us! Key job responsibilities Advanced computing is growing in importance as these systems are critical to the explosion of ML, AI, quantum research, and scientific discovery. We're seeing more and more amazing work being done from autonomous vehicles and imagery analysis to financial trading, logistics optimization, and quantum algorithm development. Given the scale required for advanced computing workloads, the cloud is an ideal place to deploy them, and Amazon Web Services (AWS) is the leader. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping U.S. Government customers understand how advanced computing, including HPC, quantum computing, and custom accelerators, can make a big difference to their mission. As an Advanced Computing Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing solutions
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TITLE: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-08-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3059766/sr-asic-design-engineer-cloud-scale-machine-learning-acceleration-team
EXCERPT: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team Austin, Texas, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting,
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TITLE: ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2026-03-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10378255/ml-kernel-performance-engineer-aws-neuron-annapurna-labs
EXCERPT: ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the
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TITLE: Director, Computational Pathology Biomarker Lead (Oncology/BioPharma) (m/f/d)
EMPLOYER: AstraZeneca
LOCATION: AZ Computational Pathology GmbH - Munich (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
K401_MATCH: yes (not source-backed)
APPLY_URL: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/AZ-Computational-Pathology-GmbH---Munich/Director--Computational-Pathology-Biomarker-Lead--Oncology-BioPharma---m-f-d-_R-252589-1
EXCERPT: Director, Computational Pathology Biomarker Lead (Oncology/BioPharma) (m/f/d) AZ Computational Pathology GmbH - Munich posted: Posted 24 Days Ago
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TITLE: Senior Scientist (m/f/d), Computational Pathology Biomarker Lead (BioPharmaceuticals)
EMPLOYER: AstraZeneca
LOCATION: AZ Computational Pathology GmbH - Munich (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-20
K401_MATCH: yes (not source-backed)
APPLY_URL: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/AZ-Computational-Pathology-GmbH---Munich/Senior-Scientist--m-f-d---Computational-Pathology-Biomarker-Lead--BioPharmaceuticals-_R-252742-1
EXCERPT: Senior Scientist (m/f/d), Computational Pathology Biomarker Lead (BioPharmaceuticals) AZ Computational Pathology GmbH - Munich posted: Posted 23 Days Ago
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TITLE: Engineering Manager, Kernel Reliability
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7582897003
EXCERPT: Engineering Manager, Kernel Reliability 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. The Role We're looking for a deeply technical, hands-on engineering leader for our on-field Kernel Reliability team. You will lead a high performing team to tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, you'll set the technical vision while staying close to the code and designing solutions that will scale to our exponentially growing system production and software service offerings. If you have proven expertise in software
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TITLE: Senior Scientist (m/f/d), Computational Pathology Biomarker Lead (Oncology)
EMPLOYER: AstraZeneca
LOCATION: AZ Computational Pathology GmbH - Munich (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
K401_MATCH: yes (not source-backed)
APPLY_URL: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/AZ-Computational-Pathology-GmbH---Munich/Senior-Scientist--m-f-d---Computational-Pathology-Biomarker-Lead--Oncology-_R-252861-1
EXCERPT: Senior Scientist (m/f/d), Computational Pathology Biomarker Lead (Oncology) AZ Computational Pathology GmbH - Munich posted: Posted 22 Days Ago
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TITLE: Full Stack ML Efficiency & Observability
EMPLOYER: Microsoft
LOCATION: US (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-03
K401_MATCH: yes (not source-backed)
APPLY_URL: https://apply.careers.microsoft.com/careers/job/1970393556827351
EXCERPT: Full Stack ML Efficiency & Observability US
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TITLE: Senior Systems Engineer
EMPLOYER: Oracle
LOCATION: BENGALURU, KARNATAKA, India, IN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
PARENTAL_LEAVE_WEEKS: 14 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/334285/
EXCERPT: Senior Systems Engineer BENGALURU, KARNATAKA, India, IN At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Compute is one of the core organisations within OCI. We are responsible for providing Compute power i.e. VMs and BMs. Cloud pretty much cannot exists without our org. The Compute org comprises of a family of critical foundational infrastructure services that drive OCI's hardware lifecycle activities Work with product team on the shared full stack ownership of a collection of services and/or technology areas. Understand the end-to-end configuration, technical dependencies, and overall behavioural characteristics of production services. Responsible for the mitigating critical customer incidents, or deployments or testing required to improve security, performance, availability, and scalability of service. Authority for end-to-end performance and operability. Partner with development teams in meeting SLA to unblock customers. Articulate technical characteristics of services and technology areas and guide Development Teams to engineer and add premier capabilities to the Oracle Cloud service portfolio. Understand and communicate the scale, capacity, security, performance attributes, and requirements of the service and technology stack. Demonstrate clear understanding of automation and orchestration principles. Act as ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Utilise a deep understanding of service topology and their dependencies required to
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TITLE: Director, Team Lead, Computational Pathology Biomarker Development (Oncology/BioPharmaceuticals) (m/f/d)
EMPLOYER: AstraZeneca
LOCATION: AZ Computational Pathology GmbH - Munich (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
K401_MATCH: yes (not source-backed)
APPLY_URL: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/AZ-Computational-Pathology-GmbH---Munich/Director--Team-Lead--Computational-Pathology-Biomarker-Development--Oncology-BioPharmaceuticals---m-f-d-_R-252590-1
EXCERPT: Director, Team Lead, Computational Pathology Biomarker Development (Oncology/BioPharmaceuticals) (m/f/d) AZ Computational Pathology GmbH - Munich posted: Posted 24 Days Ago
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TITLE: Senior AI Cloud Developer
EMPLOYER: Protiviti Inc.
LOCATION: HOUSTON (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-30
K401_MATCH: yes (not source-backed)
APPLY_URL: https://roberthalf.wd1.myworkdayjobs.com/ProtivitiNA/job/HOUSTON/Senior-AI-Cloud-Developer_JR-260511
EXCERPT: Senior AI Cloud Developer HOUSTON posted: Posted 13 Days Ago
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TITLE: Photonics Design Engineer - Computational Photonics
EMPLOYER: Xanadu
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://xanadu.jazz.co/apply/Rgpk5l7ipz/Photonics-Design-Engineer-Computational-Photonics
EXCERPT: Photonics Design Engineer - Computational Photonics Photonics Design Engineer - Computational Photonics
---
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,
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TITLE: Computer Engineering Intern (SQE Team)
EMPLOYER: Seagate Technology
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://seagatecareers.com/job/Samut-Prakan-Computer-Engineering-Intern-%28SQE-Team%29/1399255700/
EXCERPT: Computer Engineering Intern (SQE Team) Computer Engineering Intern (SQE Team)
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TITLE: Full Stack Software Engineer - ML Compute Capacity
EMPLOYER: Apple
LOCATION: Santa Clara, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-02-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200646657/full-stack-software-engineer-ml-compute-capacity?team=MLAI
EXCERPT: Full Stack Software Engineer - ML Compute Capacity Santa Clara, United States of America Scaling machine learning workloads across thousands of accelerators creates challenges that few engineers ever encounter. In Apple's Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing. As a senior engineer on the ML Compute Capacity team, you will design, build, and operate the production systems that ensure compute resources are optimally distributed throughout the company. You'll work across the stack - from data pipelines and backend services to APIs and interactive frontends - developing telemetry systems, optimization algorithms, policies, and intuitive tools for managing demand and improving efficiency across Apple's largest accelerator fleet. Our small, nimble team works in a high-autonomy, fast-paced environment, and we're passionate about digging into data patterns, laying out the performance characteristics of an entire distributed system, and knowledge sharing. If the opportunity to own and operate services that scale, stay highly available, and "just work" excites you, then please reach out to us! Build and operate demand and capacity planning systems Build data pipelines and telemetry systems that ingest, normalize, and serve fleet-wide utilization and cost data across multi-tenant and heterogeneous fleets Develop observability infrastructure - monitoring, alerting, and dashboards - that surfaces real-time fleet health and efficiency signals Drive innovation in forecasting, optimization, and supply chain management tooling that works at scale Build end-to-end tooling - from data models and
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TITLE: Business Development, Elastic Compute
EMPLOYER: Zenlayer
LOCATION: Diamond Bar, California (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://zenlayer.bamboohr.com/careers/384
EXCERPT: Business Development, Elastic Compute Diamond Bar, California Business Development, Elastic Compute
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TITLE: End User Computing Support Analyst
EMPLOYER: Paylocity
LOCATION: Guadalajara, Mexico (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://2000recruiting.paylocity.com/recruiting/jobs/Apply/44430/Paylocity/End-User-Computing-Support-Analyst
EXCERPT: End User Computing Support Analyst Guadalajara, Mexico End User Computing Support Analyst
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TITLE: Senior CloudOps Engineer
EMPLOYER: Tyler Technologies
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.jobvite.com/tylertech/job/ogtLzfwN
EXCERPT: Senior CloudOps Engineer Senior CloudOps Engineer
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TITLE: Applied Science Manager, Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: San Francisco, California, USA (unspecified)
SALARY: $211K-$286K
POSTED: 2026-04-23
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10401537/applied-science-manager-center-for-quantum-computing
EXCERPT: Applied Science Manager, Center for Quantum Computing San Francisco, California, USA Do you want to make an impact on quantum computing hardware development through computational science and engineering? Do you thrive when working with scientists and engineers from diverse backgrounds in a multidisciplinary environment? The Amazon Center for Quantum Computing (CQC) is seeking to hire an Applied Science Manager to innovate in physical design and simulation methods, and develop the software stack used to design superconducting quantum computers. In this role, you will lead a team developing scientific software for quantum electronic design automation. The ideal candidate is expected to advance the state of the art for computational science in service of realizing a fault-tolerant quantum computer. Key job responsibilities - Hire and develop Applied Scientists that build physical design and simulation software - Partner with science teams to understand needs and drive adoption of improved methods and tooling - Influence engineering team development priorities in high-performance computing infrastructure - Manage tactical and strategic initiatives with scientific projects pursued within team - Enable creative and innovative experimentation while striving for operational excellence About the team The Amazon Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer. Inclusive Team Culture Here at Amazon, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our
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TITLE: 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
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TITLE: Member of Technical Staff, Cloud Infrastructure
EMPLOYER: Fireworks AI
LOCATION: New York, NY; San Mateo, CA (unspecified)
SALARY: $175K-$220K
POSTED: 2025-06-20
APPLY_URL: https://job-boards.greenhouse.io/fireworksai/jobs/4005894009
EXCERPT: Member of Technical Staff, Cloud Infrastructure New York, NY; San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefront, architecting and building the foundational systems that power Fireworks AI's revolutionary generative AI platform. You'll spearhead the creation of one of the world's first virtual clouds, seamlessly serving AI workloads across the globe and every cloud provider. Your mission: to deliver unparalleled reliability, efficiency, and scalability, fueling the world's most innovative AI products.This is a highly technical role requiring deep expertise in distributed systems, cloud-native infrastructure, and machine learning platforms. You'll partner closely with engineering partners, product teams, and infrastructure stakeholders to design solutions that balance performance, cost-efficiency, and operational simplicity across compute, storage, and networking layers. Key Responsibilities: - Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines. - Lead technical design discussions, mentor other engineers, and establish best
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TITLE: Lead Computer Vision (3D/Optimization) - Paris 🇫🇷
EMPLOYER: Dental Monitoring
LOCATION: Paris, France (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://dentalmonitoring.bamboohr.com/careers/950
EXCERPT: Lead Computer Vision (3D/Optimization) - Paris 🇫🇷 Paris, France Lead Computer Vision (3D/Optimization) - Paris 🇫🇷
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TITLE: ML Kernel Performance Engineer, Edge AI and Science
EMPLOYER: Amazon
LOCATION: Vancouver, British Columbia, CAN (unspecified)
SALARY: CAD 115K-192K
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10437525/ml-kernel-performance-engineer-edge-ai-and-science
EXCERPT: ML Kernel Performance Engineer, Edge AI and Science Vancouver, British Columbia, CAN Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform and custom neural accelerator silicon. Within Edge AI & Science, the AI Platform team builds a compression platform-the first of its kind-enabling 20-100x neural network compression for edge and cloud deployment. As model sizes grow from billions to hundreds of billions of parameters, compute efficiency becomes the single largest return on engineering investment during training. The gap between eager-mode Python and optimized GPU execution is where months of training time are won or lost. We are looking for an ML Kernel Performance Engineer to work at the hardware-software boundary of this platform, crafting high-performance CUDA and Triton kernels that make our compression algorithms run at peak efficiency during training, fine-tuning, and inference. You will build the tooling and kernel libraries that democratize GPU performance optimization across the team, enabling scientists and engineers to profile, diagnose, and fix kernel bottlenecks without needing to be CUDA experts themselves. Working alongside compression scientists and platform engineers, you will ensure that novel quantization schemes (ternary, nonary, mixed-precision) and sparse computation patterns translate into real throughput gains on GPU hardware. Your work will directly accelerate every training run in the organization and unlock deployment of compressed
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TITLE: Optical - Computer Vision Engineer - Paris 🇫🇷
EMPLOYER: Dental Monitoring
LOCATION: Paris, France (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://dentalmonitoring.bamboohr.com/careers/991
EXCERPT: Optical - Computer Vision Engineer - Paris 🇫🇷 Paris, France Optical - Computer Vision Engineer - Paris 🇫🇷
---
TITLE: Computer Vision and Machine Learning Engineer
EMPLOYER: Apple
LOCATION: Sunnyvale, United States of America (unspecified)
SALARY: $147K-$272K
POSTED: 2025-01-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200585934/computer-vision-and-machine-learning-engineer?team=MLAI
EXCERPT: Computer Vision and Machine Learning Engineer Sunnyvale, United States of America The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We have contributed to the algorithms driving FaceID and FaceKit in the past and more recently to the new Apple Vision Pro and Spatial Computing. As a member of the Video Computer Vision group you will perform cutting-edge artificial intelligence research that will craft the future of spatial computing. We are looking for the right 3D Computer Vision and Machine Learning Engineer to help us take our efforts to the next level. You will be part of a community of researchers and engineers who are passionate about pushing the boundaries of what is possible with spatial media and AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day. We are looking for a proactive Computer Vision and Machine Learning Engineer to join our team and help design and implement algorithms for spatial media and AI. The ideal candidate should have experience with 3DCV, rendering techniques and machine learning and be passionate about bringing algorithms from research all the way to product. In this position, you will work along side computer vision and machine learning researchers to implement world class algorithms that pushes the state of the art and
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TITLE: AI Cloud Solution Engineer
EMPLOYER: Morgan Stanley
LOCATION: Glasgow, United Kingdom (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-22
K401_MATCH: yes (not source-backed)
APPLY_URL: https://ms.wd5.myworkdayjobs.com/External/job/Glasgow-United-Kingdom/AI-Cloud-Solution-Engineer_PT-JR036358
EXCERPT: AI Cloud Solution Engineer Glasgow, United Kingdom posted: Posted 21 Days Ago
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TITLE: Critical Compute Sales Specialist
EMPLOYER: Hewlett Packard Enterprise
LOCATION: All, Illinois, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-07
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/All-Illinois-United-States-of-America/Critical-Compute-Sales-Specialist_1206428-2/apply
EXCERPT: Critical Compute Sales Specialist All, Illinois, United States of America Embrace the opportunity to become a Critical Compute Sales Specialist and drive enterprise compute solutions for mission-critical clients. Leverage your expertise in SAP, Oracle, and high-end compute platforms to build executive relationships, close complex deals, and shape strategic sales initiatives. Grow your career with a global leader in cloud and enterprise technology.
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TITLE: AI Infrastructure Operations Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2024-03-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/5913347003
EXCERPT: AI Infrastructure Operations Engineer 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 We are seeking a highly skilled and experienced AI Infrastructure Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power. You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives. This role requires a deep
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TITLE: Channel Compute Specialist - Commercial(e) Spécialiste Compute H/F
EMPLOYER: Hewlett Packard Enterprise
LOCATION: Puteaux, Hauts-de-Seine, France (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-27
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Puteaux-Hauts-de-Seine-France/Channel-Compute-Specialist---Commercial-e--Spcialiste-Compute-H-F_1200921-3/apply
EXCERPT: Channel Compute Specialist - Commercial(e) Spécialiste Compute H/F Puteaux, Hauts-de-Seine, France Embrace the role of a Channel Compute Specialist and drive commercial sales growth with Hewlett Packard Enterprise. Leverage your expertise in channel sales, negotiation, and client engagement to close deals and expand opportunities. If you excel in consultative selling and thrive in a dynamic environment, this is your next career move.
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TITLE: Staff Cloud SRE – AI/ML Platform & GPU Compute
EMPLOYER: Wayve
LOCATION: London (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-06
APPLY_URL: https://wayve.firststage.co/jobs?gh_jid=8537458002
EXCERPT: Staff Cloud SRE – AI/ML Platform & GPU Compute London About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role This is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up. As a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale). This is a founding Cloud SRE role. You won't inherit
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TITLE: Applied Scientist, Quantum Algorithms, Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-04-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10406284/applied-scientist-quantum-algorithms-center-for-quantum-computing
EXCERPT: Applied Scientist, Quantum Algorithms, Center for Quantum Computing Pasadena, California, USA The Quantum Algorithms Team at the Amazon Web Services (AWS) Center for Quantum Computing (CQC) is looking to hire an Applied Scientist. In this role, you will conduct theoretical research into applications of fault-tolerant quantum computers and develop new quantum algorithms. You will work on the forefront of quantum computing research and contribute toward the development of useful quantum technology, working alongside theoretical and experimental scientists, engineers, and technicians across the CQC. You should have a deep and broad knowledge of quantum algorithms and applications for fault-tolerant quantum computers, and standard mathematical and computational methods for analyzing them. Key job responsibilities We are looking to hire an Applied Scientist focused on developing algorithms and applications for fault-tolerant quantum computers. In this role, you will: - Collaborate with other members of the Quantum Algorithms Team and our academic collaborators, to analyze and optimize existing quantum algorithms - Think big to invent new quantum algorithms and discover new application areas for fault-tolerant quantum computers - Provide subject matter expertise on the topic of quantum algorithms, and communicate the latest developments to the broader quantum computing team - Work with internal and external stakeholders to strengthen the long-term value proposition of quantum computing - Interact with the Quantum Error Correction team to understand the interplay between quantum algorithms and quantum error correction - Publish research papers in scientific journals and present at conferences - Mentor research interns working on scientific projects You
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TITLE: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Austin, Texas, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-12-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3149763/sr-asic-design-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
EXCERPT: Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is
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TITLE: Senior AI and ML HPC Cluster Engineer
EMPLOYER: NVIDIA Corporation
LOCATION: 6 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-and-ML-HPC-Cluster-Engineer_JR2016887-1
EXCERPT: Senior AI and ML HPC Cluster Engineer 6 Locations posted: Posted 30+ Days Ago
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TITLE: Quantum Solutions Scientist
EMPLOYER: QuEra Computing
LOCATION: Tsukuba, Japan (unspecified)
SALARY: Not disclosed
POSTED: 2025-04-28
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/4663003008
EXCERPT: Quantum Solutions Scientist Tsukuba, Japan Summary QuEra Computing is seeking a qualified candidate to help develop algorithms and applications in collaboration with external customers, collaborators, and users. With an outcome-oriented mindset, you will work on projects ranging from machine learning, operations research, data science, chemistry, and more. Working individually and as part of a team, you will interact with clients, business partners, collaborators, and other users of quantum computers to implement algorithms, develop use-cases, and create business solutions that leverage near and intermediate-term neutral atom quantum computers. QuEra Computing is the leader in neutral atom quantum computing, and is a front runner in the race towards utility-scale quantum computing. In this role, you will be at the cutting edge of quantum computing development. Your contributions and ideas will help steer QuEra and the entire field to practical quantum utility. Qualifications - MSc or a Ph.D. degree in applied mathematics, computer science, physics, or a related discipline, or equivalent professional experience - Expert knowledge of at least one of the fields of quantum machine learning, quantum optimization, quantum chemistry, or quantum information science - Strong knowledge of the fundamentals of quantum computing and algorithmic primitives - Strong written and verbal communication skills - Ability to collaborate effectively across multidisciplinary teams - Proficiency in Python - Strong written and verbal communications skills in both English and Japanese Preferred Qualifications - Expertise in an industry vertical such as logistics, finance, operations research, chemistry, biotech, engineering, machine learning, or other related field - Experience
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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: Internship - Research & Development
EMPLOYER: QuEra Computing
LOCATION: Boston, MA, USA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/5227710008
EXCERPT: Internship - Research & Development Boston, MA, USA Summary The individual in this internship role will contribute to the advancement of neutral-atom based quantum computing technologies. You will be involved in the design, implementation, and characterization of neutral-atom quantum computing systems, and collaborate closely with a multidisciplinary team of physicists, engineers, and computer scientists to push the boundaries of quantum computing using neutral-atom platforms. Responsibilities - Assist in the design and build state-of-the-art neutral atom quantum computers as directed by your mentor(s). - Collaborate with engineering teams to verify and validate modules and subsystems for neutral atom quantum computers. - Investigate sources of noise and decoherence and contribute to proposed mitigation strategies. - Assist in experimental setups related to neutral atom quantum computing, which may include working with optical components, lasers, and atom trapping systems. - Analyze experimental data using the Python scientific stack to provide insights and feedback for continuous improvement in our quantum computing applications. Qualifications - Pursuing a degree in physics, computer science, mathematics, or a related field. - Strong physics background and experience in optics. - Programming skills in Python, including the Python scientific stack (PyTorch, NumPy, SciPy, Pandas) are plus but not required. - Excellent problem-solving and analytical skills. - Strong communication and teamwork skills. On-site internship. There is no relocation offered for this role. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do
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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
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TITLE: Computational Engineer, Magnetics
EMPLOYER: MP Materials
LOCATION: MAG - MP Magnetics LLC, Fort Worth, TX, US (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-21
K401_MATCH: yes (not source-backed)
APPLY_URL: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=2025028d-7acd-4c20-b3da-c49a0d760dac&ccId=19000101_000001&jobId=9201020960900_1
EXCERPT: Computational Engineer, Magnetics MAG - MP Magnetics LLC, Fort Worth, TX, US Computational Engineer, Magnetics
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TITLE: High Performance Computing Administrator Associate
EMPLOYER: Gulfstream
LOCATION: Savannah, GA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://careers.gulfstream.com/job/Savannah-High-Performance-Computing-Administrator-Associate-GA-31401/1379780100/
EXCERPT: High Performance Computing Administrator Associate Savannah, GA in Unique Skills: Education and Experience Requirements Bachelor's Degree in Engineering, Computer Science, Information Technology or related curriculum required or equivalent combination of education and experience sufficient to successfully perform the essential functions of the job.. Entry level position. Experience in HPC or scientific computing environment preferred.. Position Purpose: Assist other staff in the High Performance Computing (HPC) group of the Advanced Computing Technologies (ACT) department in providing operational support for the HPC environment. Drawing upon the operating plan and following the guidance of more senior HPC technical staff to leverage enabling technologies to meet the desired goals, objectives and strategies of the Computational Fluid Dynamics, Simulation, modeling and overall engineering business areas. Assist other HPC staff with the optimum integration of scientific applications with high performance computing technology. Job Description Principle Duties and Responsibilities: Essential Functions: Diagnoses and repairs hardware related issues in the HPC environment. Reviews and responds to helpdesk tickets. Maintains the HPC environment documentation. Attends webinars, conference and other events to gain additional knowledge of High Performance Computing. Responds to monitoring system alerts in a timely fashion, engaging more senior technical staff as necessary. Writes scripts in PERL, BASH, Python and other appropriate scripting language
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TITLE: Cloud Architect - OpenShift and AI
EMPLOYER: Neural Magic
LOCATION: Puteaux (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://redhat.wd5.myworkdayjobs.com/jobs/job/Puteaux/Cloud-Architect---OpenShift-and-AI_R-053695-2
EXCERPT: Cloud Architect - OpenShift and AI Puteaux posted: Posted Today
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TITLE: CloudOps Engineer
EMPLOYER: Tyler Technologies
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.jobvite.com/tylertech/job/oTtLzfwq
EXCERPT: CloudOps Engineer CloudOps Engineer
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TITLE: Enterprise Account Manager - Compute
EMPLOYER: Hewlett Packard Enterprise
LOCATION: All, British Columbia, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/All-British-Columbia-Canada/Enterprise-Account-Manager----Compute_1204816-2/apply
EXCERPT: Enterprise Account Manager - Compute All, British Columbia, Canada Embrace the opportunity to become an Enterprise Account Manager - Compute and drive strategic partnerships with leading clients. Leverage your expertise in compute solutions and sales to deliver business outcomes, build trusted relationships, and shape the future of cloud technology. Grow your career with a global leader in enterprise IT innovation.
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TITLE: CLOUD MACHINE LEARNING ENGINEER
EMPLOYER: Vodafone Group
LOCATION: Pune, Maharashtra, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://vodafone.eightfold.ai/careers/job/563018696416600
EXCERPT: CLOUD MACHINE LEARNING ENGINEER Pune, Maharashtra, India
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TITLE: Network Administrator
EMPLOYER: Judicial Branch
LOCATION: Miami, Florida (unspecified)
SALARY: $58K-$103K
POSTED: 2026-06-11
HIRE_STATES: FL
APPLY_URL: https://www.usajobs.gov:443/job/872677300
EXCERPT: Network Administrator Miami, Florida Summary Network administrators coordinate and oversee the judiciary's information technology networks. Network administrators perform routine network administration. Duties include collaboration with supervisors, managers, executives and judges. Duties REPRESENTATIVE DUTIES CL26: Coordinate and link computer systems within an organization to increase compatibility and share information. Determine computer software or hardware needed to set up or alter systems. Train users to work with computer systems and programs. Diagnose hardware and custom off-the-shelf software problems and replace defective components. Maintain and administer computer networks and related computing environments, including computer hardware, systems software, and all configurations. Recommend changes to improve systems and configuration, as well as determine hardware or software requirements related to such changes. Maintain network security. Perform data backups. Plan for disaster recovery operations and testing including network performance, security, anti-virus, intrusion, web usage/monitoring, design and acquisition of servers. Produce useful system documentation and perform system startup and shutdown procedures. Monitor network, test for weaknesses, handle updates, install and implement security programs, and evaluate network management software. CL 27: Coordinate and link computer systems within an organization to increase compatibility and share information. Determine computer software or hardware needed to set up or alter systems. Make recommendations to management on changes to improve systems and configuration. Assist in developing and implementing automation improvement plans for the court unit. Train users to work with computer systems and programs. Diagnose hardware and custom off-the-shelf software problems and replace defective components. Maintain and administer computer networks and related computing environments,
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TITLE: Pre-silicon ML and Compute Framework Engineer, Graphics, Game and ML
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-03-27
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200631702/pre-silicon-ml-and-compute-framework-engineer-graphics-game-and-ml?team=SFTWR
EXCERPT: Pre-silicon ML and Compute Framework Engineer, Graphics, Game and ML Cupertino, United States of America Apple's Graphics, Games, and Machine Learning team provides the compute and graphics software foundation across all of our innovative products including iPhone, iPad, Apple TV, Mac, Vision Pro, and Apple Watch. The Pre-silicon Compute Frameworks team is seeking a senior engineer to influence and lead new features in Metal and Metal compute frameworks through our next-generation GPU hardware roadmap. The Pre-silicon Compute Frameworks team is responsible for API design and development across Metal and Metal compute frameworks for upcoming hardware features in future Apple Silicon GPUs. As a member of this team, you will contribute to API design, development, and performance analysis across Metal and Metal compute frameworks for future Apple Silicon GPUs. Along with API development, you will develop critical compute and ML use cases to showcase new features. You will partner with other leaders across Apple software and hardware organizations to propose, develop, and evaluate hardware features for new silicon generations from emulation through silicon. Develop and deliver software representing Apple's roadmap for compute and ML technologies during hardware development. Design APIs that enable developers to make full use of new hardware features in the simplest way possible. Partner with cross-functional teams to ensure our software and hardware roadmap includes the state-of-the-art features and performance. Contribute to the bring-up and verification of new chips and products using our new GPUs. Minimum Qualifications: BS/MS/PhD or equivalent in Computer Science or related field with 5
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TITLE: Senior ML Compiler Engineer, Compute
EMPLOYER: Waymo
LOCATION: Bangalore, Karnataka, India (unspecified)
SALARY: INR 6100K-7250K
POSTED: 2026-04-05
APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7774345
EXCERPT: Senior ML Compiler Engineer, Compute Bangalore, Karnataka, India Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate with many other teammates to ensure we design and improve hardware and software for maximum performance. We are a diverse team looking for curious and talented teammates to work on one of the world's highest performance automotive compute platforms. This role follows a hybrid work schedule and you will report to a Software Engineering Manager. This position will require the ability to work some hours that align with the team in the Pacific Time zone on an as needed
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TITLE: AI Engineer, PC Automation
EMPLOYER: Hewlett-Packard
LOCATION: Austin, Texas, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://hp.eightfold.ai/careers/job/42003730
EXCERPT: AI Engineer, PC Automation Austin, Texas, United States of America
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TITLE: Director Advanced Compute Campaign
EMPLOYER: Other Agencies and Independent Organizations
LOCATION: McLean, Virginia (unspecified)
SALARY: $152K-$210K
POSTED: 2026-06-10
HIRE_STATES: VA
APPLY_URL: https://www.usajobs.gov:443/job/872558100
EXCERPT: Director Advanced Compute Campaign McLean, Virginia Summary The Policy & Capabilities (PC) Directorate ensures the IC is best postured for the threats and challenges of an uncertain future, through strategy, policy, and capabilities development. PC is comprised of the Strategic Capabilities Office (SCO) and Policy Strategy and Accountability (PSA) Office. Duties ODNI's Policy and Capabilities (P&C) Directorate is squarely focused on winning the geostrategic competition to secure America's future. P&C establishes the IC's strategic roadmap, develops requisite IC policies, and drives technology capabilities in alignment with national priorities. Within P&C, the Strategic Capabilities Office (SCO) leads DNI-directed, results-oriented campaigns in key contested areas, including Mission Artificial Intelligence (AI), Advanced Compute, and Space & Sensors. These campaigns run from 18-36 months and are focused on establishing multi-agency capabilities that will transform the intelligence community (IC). The Advanced Compute Campaign is being established to close the loop between secure silicon manufacturing, compute infrastructure deployment, and national-level investment planning. The Director of the Advanced Compute Campaign will lead the integration of advanced semiconductor strategy, secure compute infrastructure, and long-term investment planning across the national security enterprise. This position will play a central role in shaping the future of the United States national security compute enterprise and ensuring the nation maintains strategic advantage in advanced computing infrastructure, semiconductor capabilities, and AI-enabled operations. Build and lead a high-performing interdisciplinary team spanning semiconductor strategy, infrastructure architecture, AI/HPC compute systems, investment analysis, and national security policy. Develop and execute a national security compute strategy connecting mission demand
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TITLE: Senior AI/ML & Edge Computing Engineer
EMPLOYER: Thales
LOCATION: Roma, Roma, Italy (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://thales.wd3.myworkdayjobs.com/Careers/job/Roma/Senior-AI-ML---Edge-Computing-Engineer_R0313956/apply
EXCERPT: Senior AI/ML & Edge Computing Engineer Roma, Roma, Italy Join our team as a Senior AI/ML & Edge Computing Engineer and drive innovation in advanced AI and edge computing solutions. Collaborate with top experts, lead complex projects, and shape the future of space technology. Grow your career with Thales Alenia Space, a global leader in high-tech engineering.
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TITLE: Associate CloudOps Engineer
EMPLOYER: Tyler Technologies
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.jobvite.com/tylertech/job/ovULzfwt
EXCERPT: Associate CloudOps Engineer Associate CloudOps Engineer
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TITLE: Technical Program Manager, Compute
EMPLOYER: Anthropic
LOCATION: San Francisco, CA | New York City, NY | Seattle, WA (unspecified)
SALARY: $290K-$365K
POSTED: 2026-03-02
APPLY_URL: https://job-boards.greenhouse.io/anthropic/jobs/5138044008
EXCERPT: Technical Program Manager, Compute San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs. You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment. Responsibilities: - Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams - Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health - Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating
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TITLE: Machine Learning Engineer
EMPLOYER: Huron Consulting Group Inc
LOCATION: Belfast - 20 Adelaide Street (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://huron.wd1.myworkdayjobs.com/huroncareers/job/Belfast---20-Adelaide-Street/Machine-Learning-Engineer_JR-0013617
EXCERPT: Machine Learning Engineer Belfast - 20 Adelaide Street posted: Posted 30+ Days Ago
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TITLE: Intern Quantum Computing Applications (w/m/x)
EMPLOYER: BMW
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://www.bmwgroup.jobs/job-invite/188581/?locale=en_US
EXCERPT: Intern Quantum Computing Applications (w/m/x) Location not specified THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE. SHARE YOUR PASSION. World-leading technologies don't make it into a BMW until they've undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. Our team at the BMW Group explores cutting-edge quantum computing applications to drive innovation in automotive technology. We focus on advanced algorithms, quantum chemistry, and ecosystem mapping to identify key trends and collaborations in this emerging field. During your internship, you will gain valuable experience working on pioneering projects at the intersection of quantum computing and real-world applications. What awaits you? You will support the team in quantum computing projects by applying advanced algorithms and contributing to innovative solutions. Furthermore, you actively participate in technical discussions and brainstorming sessions to develop new approaches. In addition, you help create detailed reports on quantum computing topics and research findings. Moreover, you contribute to quantum ecosystem mapping to identify key players, trends, and collaboration opportunities in the field. What should you bring along? Studies in theoretical chemistry, quantum computing, computational
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TITLE: AI Machine Learning Engineer
EMPLOYER: The Hartford Financial Services Group, Inc.
LOCATION: 4 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://thehartford.wd5.myworkdayjobs.com/Careers_External/job/Hartford-CT/AI-Machine-Learning-Engineer_R2625795
EXCERPT: AI Machine Learning Engineer 4 Locations posted: Posted Today
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TITLE: Compute Presales Consultant – Graduate
EMPLOYER: Hewlett Packard Enterprise
LOCATION: Amstelveen, North Holland, Netherlands (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Amstelveen-North-Holland-Netherlands/Presales-Graduate_1195914-1/apply
EXCERPT: Compute Presales Consultant – Graduate Amstelveen, North Holland, Netherlands Kickstart your IT career as a Compute Presales Consultant Graduate with Hewlett Packard Enterprise. Gain hands-on experience in solution design, technical support, and cloud computing while collaborating with cross-functional teams. Join a global leader in digital transformation and accelerate your growth in a dynamic, supportive environment. Apply now to shape the future of technology!
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TITLE: Applied AI Engineer
EMPLOYER: Fuse Energy
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2025-02-11
APPLY_URL: https://apply.workable.com/j/64F3A20A10
EXCERPT: Applied AI Engineer
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TITLE: Data Center Facility Operations Manager
EMPLOYER: Lambda
LOCATION: Kansas City, MO - Data Center, Kansas City, Missouri, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
K401_MATCH: yes (not source-backed)
MATCH_401K_PCT: 2
APPLY_URL: https://jobs.ashbyhq.com/lambda/dee77fd8-7b4a-4212-af48-59df66e6d05e
EXCERPT: Data Center Facility Operations Manager Kansas City, MO - Data Center, Kansas City, Missouri, United States Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our Kansas City, MO office location 5 days per week. Travel Requirements: Initially low, scaling up to 50% travel across assigned regional sites as portfolio grows What You'll Do: This is a unique, progressive leadership role designed to grow alongside Lambda's expanding infrastructure footprint. You will begin as the "Mayor of the Data Center," serving as the single point of accountability for the daily performance, safety, and uptime of a single critical high-density AI facility. In this initial phase, you will physically own the building 24/7, directly supervising daily shift operations and managing the on-site performance of our partners, including Salute Mission Critical and colocation landlords. As you successfully stabilize and optimize your initial site, this role will expand into a regional scope. You will transition into the Regional Data Center Operations Manager, overseeing a portfolio of critical, high-density AI facilities across a broader geographic region. Operating remotely with up to 50% travel, you will bridge the gap between global engineering standards and local operational execution across diverse
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