Senior UCIe PHY Expert, MLA Technology

Amazon is hiring a Senior UCIe PHY Expert, MLA Technology in Austin, United States. It pays $159k-$215k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

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:

* Collaborate with architects, design teams, and software engineers on our next generation ML chips
* Support on-going debug and operations of previous ML chips within manufacturing and the data center
* Dive deep into IP integration, packaging, silicon bring up, characterization, and validation of our UCIe subsystems
* Independently develop the scripts you need to execute and collaborate with software engineers as your needs scale

A day in the life
A day in the life of a CHDE focused on UCIe on the MLA Technology team focuses on operational excellence, constructively identifying problems, prototyping solutions, and leading data collection at scale to improve our products. We start each day looking at our fleet, reviewing dashboards for emergent issues impacting our customers, partnering with other teams to drive complex debugs as it pertains to UCIe and associated SoC subsystems. We then look forward to the future technologies being developed and how we can best focus our efforts to help improve them and ensure a high quality product on behalf of our customers.

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.

Basic qualifications

- Bachelor's degree in Electrical Engineering, Computer Engineering, Systems Engineering, or related fields
- 7+ years of experience in Silicon development
- 3+ years in SOC/IO/Subsystems Experience working closely with physical design teams to develop highly optimized ASICs with excellent power, performance and area
- Good understanding of UCIe at the PHY and controller level
- Good knowledge of UCIe training, timing parameters and/or controller features
- Support the physical design team with IP integration, 2.5D packaging, clocking and timing constraints
- Ability to create scripts (lua, bash, python, etc.) to accomplish functional day to day tasks.
- Drive cross-functional triage effort on functional and performance issues
- Take the leadership role in post-silicon bring-up of UCIe-Advanced or Standard
- Perform system-level debug and root-cause analysis through bring-up, characterization, validation and production phases

Preferred qualifications

- MS degree in computer science, electrical engineering, or related field
- Strong Firmware development skills within embedded environments
- Good leadership skills and ability to multi-task and thrive in a dynamic environment
- Knowledge of UCIe phy and controller related protocols
- Good communication skills and interpersonal skills

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 - 159,200.00 - 215,300.00 USD annually

How we rate this

Senior UCIe PHY Expert, MLA Technology at Amazon rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.