Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven 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.
As a member of the Machine Learning Acceleration team youll be responsible for the design and optimization of hardware in our data centers. Youll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced intellectually challenging position and youll work with thought leaders in multiple technology areas. Youll have high standards for yourself and everyone you work with and youll be constantly looking for ways to improve your products performance quality and cost. Were changing an industry and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
As a Thermal/Mechanical Engineer you design and build the systems that are the heart of the worlds largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of AWS users.
About the team
In 2015 Annapurna Labs was acquired by Amazon Web Services (AWS). Since then we have accelerated its innovation and developed a number of products that benefit cloud customers including AWS Nitro technology Inferentia custom Machine Learning chips and AWS Graviton2 processors.
Annapurna Labs is a silicon/system and software organization that is delivering all the chips used by AWS customers. Today this includes: Graviton driving innovation for general purpose compute; Nitro driving networking and storage scale security and Hypervisor offload and Machine Learning (ML) Trainium and Inferentia that are enabling customers to train and run GenAI applications permanently while keeping costs under control.
- BS or MS degree in Mechanical/Thermal Engineering
- 10 years industry experience in Mechanical and Thermal design of Systems
- Experience in thermal and performance measurements and characterization on SoCs Servers and Systems
- 3 years of experience SoC Thermal modelling and IC package transient thermal response
- Experience with Chip package System Mechanical & Thermal design for air-cooled and liquid-cooled systems
- Collaborate effectively with teams spanning multiple sites and develop detailed specifications for product teams to use
- Work with ODMs heatsink vendors and internal design teams on cross-boundary triaging debugging and resolving issues across organization
- Knowledge of SoC thermal/mechanical design methodology power modeling and thermal analysis techniques
- Tool Familiarity: Ansys Icepak FloTherm Cadence Celsius PTC Creo and Solidworks
- Programming experience: Bash script Shell script Linux Python and Lua. Familiarity with working in Linux environment is an added advantage
- Working knowledge on fans valves chillers and CDUs
- Knowledge of various types of technologies used for Heatsink solutions Thermal Interface Materials (TIMs) and liquid cooling technologies
- Develop detailed CFD and compact RC models for SoC and Package thermal analysis
- Knowledge of hardware and software based thermal / power management control algorithms
- Optimize thermal solutions under PPA and system design constraints
- Simulate and prototype thermal control strategies
- Validate thermal models through power/thermal measurements on Hardware
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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 TX Austin - 159200.00 - 215300.00 USD annually