Cloud Hardware Dev Engineer, Annapurna Labs - Server & Rack Delivery - Trainium
Austin, TXJob$136–184K/yrSeen todaySeen in employer's feed today
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Job overview
The Cloud Hardware Dev Engineer will own the operational strategy and design of Annapurna’s Trainium servers, helping meet customer uptime requirements. The role involves root-causing complex fleet problems and driving scalable solutions across hardware design, system integration, and software tooling. The team supports custom silicon accelerated servers from NPI through launch and ongoing fleet operations, using software, services, and automation to support design, instance build yields, launch decisions, and fleet health.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads.
The Annapurna Hardware Engineering team creates server designs for our own custom silicon products. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. What makes this role unique is your direct impact on AI-powered innovation - you’ll be building intelligent systems that drive the debug and development of next-generation cloud technologies.
The ideal candidate for this role is a hardware engineer who will own the design, operations and strategy around keeping our hardware functional in the fleet. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder!
Key job responsibilities
You will own the operational strategy and design of Annapurna's Trainium servers to meet the high uptime requirements of our customers. You will be responsible for root causing complex problems in our fleet and driving scalable solutions. You will span hardware design, system integration and software tooling to simplify our fleet operations.
About the team
We are the System Integration team for Annapurna's custom silicon accelerated servers. The team owns the entire system from the NPI phase and continues through launch and thereafter. Our software, services and automation are critical in design, EC2 instance build yields, launch go/no-go decisions, and fleet health thereafter. We build process automation systems to improve efficiency across the board.
Basic Qualifications
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Knowledge of systems engineering fundamentals (networking, storage, operating systems)
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Knowledge of server hardware and components
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3+ years of non-internship hardware development experience.
Preferred Qualifications
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Experience in compute and storage server architecture and design for large scale applications
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Experience in server technologies such as, thermal, mechanical, power, and signal integrity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
How this job compares
Set against the 2,943 open Hardware Engineer jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This posting$136–184K/yr
- Texas median$126–204K/yr179 salary ranges
- US median$132–204K/yr2,215 salary ranges
This range's midpoint, $160K, is 4% below the Texas median midpoint ($167K) — in the middle half of Hardware Engineer salary ranges in Texas.
- Openings
- Olive Jobs lists 310 open Hardware Engineer jobs in Texas and 2,943 across the US. 1% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 3 years of experience; Hardware Engineer postings that state a minimum ask for 5 years at the median (2,439 postings).
- Education
- 1,583 of the 2,943 open Hardware Engineer jobs (54%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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