Annapurna Labs

Machine Learning Hardware

MechanicalEngineer

$136–184k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Mechanical Engineer at Annapurna Labs. Skills: Mechanical Engineering, Thermal Engineering, System Design, Machine Learning Hardware. Design and optimization of hardware. Provide leadership in application of new technologies”

What You'll Achieve.

Deliver a world-class customer experience; Improve products performance, quality and cost

Industry & Context.

Machine Learning Hardware
Problems you'll solve

Troubleshooting; Debugging; Resolving issues

What They're Looking For.

Must Have

BS or MS degree, 3+ years industry experience, Experience in thermal and performance measurements, 3+ years of experience SoC Thermal modelling, Experience with Chip package, System Mechanical & Thermal design, Collaborate effectively with teams, Work with ODMs, heatsink vendors, and internal design teams

Nice to Have

Knowledge of SoC thermal/mechanical design methodology, Programming experience: Bash script, Shell script, Linux, Python, and Lua, Familiarity with working in Linux environment, Working knowledge on fans, valves, chillers, and CDUs, Knowledge of various types of technologies used for Heatsink solutions, Develop detailed CFD and compact RC models, 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

What You'll Do.

Design and optimization of hardware

Provide leadership in application of new technologies

Design and build systems

Develop from circuit design to system design

See systems through to high volume manufacturing

How You'll Work.

Team & Collaboration

Teams spanning multiple sites; Cross-boundary triaging; Internal design teams

Full Job Description

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 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. As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's 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 chip

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