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Amazon
Austin, TX
Source: Amazon careers · View original posting
From Amazon's posting. “We” and “our” refer to the employer.
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.
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Machine Learning Accelerator (MLA) Technology is seeking a UCIe PHY expert who is interested in diving deep into the definition, design, validation, and data center operation of AWS’s next generation machine learning silicon and servers.
As a senior member of our technology team, you will have opportunities to participate in the design and execution of UCIe, SERDES, and general high speed analog technologies, with the goal of creating the most stable machine learning platforms within AWS’s data centers. A senior UCIE engineer on our team needs to be able to work with vendors and internal design teams, understand UCIe timings and features, write/modify tests at scale, debug fleet wide issues, and collect data from manufacturing and the data center.
Our broader team has end to end ownership of some of the most complicated IPs on the most advanced server hardware in the world. We drive complex technical debug efforts involving our IPs and leverage the massive scale of EC2 to monitor, optimize, and improve our machine learning hardware reliability on behalf of our customers.
Key job responsibilities
As a senior member of the team, you will join a mixed group of hardware and software engineers working to design, integrate, and innovate the next generation of machine learning chips into Trainium servers. In this position it is expected that you will:
Our team members touch everything from electrical simulations, to hardware qualification on test benches, to software driven data center metrics, with a broad range of tasks across multiple skillsets where you can help improve the reliability and performance of our products. You help the team evolve by actively participating in design discussions, team planning, code reviews, tickets/metric reviews, and data center capacity initiatives.
CHDEs on the MLA Technology Team are expected to help mentor others on the team in their area of expertise to help develop the team’s baseline skillsets and to participate in the hiring process for the team.
Ability to create scripts (lua, bash, python, etc.) to accomplish functional day to day tasks.
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 - 159,200.00 - 215,300.00 USD annually
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