POSTED Dec 12

Senior Software Engineer - Hardware Abstraction Layer, Team Lead, AWS Machine Learning Accelerators

at AmazonUS, CA, Cupertino

Share:

Custom silicon chips live at the heart of AWS machine learning servers (Trainium and Inferentia), and our team builds the backend software that manages these servers. We’re looking for someone to lead our system-on-chip hardware abstraction layer (SoC HAL) software team. You'll help us deliver at scale, as we build the next generations of SoC software. This is a hands-on, in-the-trenches software engineering leadership position.

As the team lead for SoC HAL SW, you will:

- Lead (both technically and as a people-manager) a small, strong team of 3-5 developers
- Work with hardware designers to build HALs for newly developed SoC IPs
- Work with system software teams to solve SoC and system-level architectural issues, drive debug, architect the HAL itself, and innovate on cross-functional solutions
- Continuously test and deploy your software stack to multiple internal customers
- Refactor and maintain existing codebases throughout the device lifecycle
- Innovate on the tooling you provide to customers, making it easier for them to use and debug our SoCs

AWS's Annapurna Labs designs and deploys some of the largest custom silicon in the world, with many subsystems that all must be managed, tested, and monitored. The SoC HAL is a critical piece of the AWS infrastructure management software stack that ensures the chip is functional, performant, and secure.

You will thrive in this role if you:

- Enjoy building, managing, and leading small teams, or are looking to grow in this area
- Enjoy coaching and mentoring teammates both technically and on interpersonal topics
- Are proficient in C++ and familiar with Python
- Enjoy working with hardware-based systems, and diving into chip and system architecture
- Love solving complex system-level issues
- Know how to build effective abstractions over low-level SoC details
- Have strong opinions about software architecture, and are able to apply them effectively
- Are familiar with modular driver architectures (such as the Linux or Windows driver stacks)
- Enjoy learning new technologies, building software at scale, moving fast, and working closely with colleagues as part of a small, startup-like team within a large organization

Although we build and deploy ML chips, no ML background is needed for this role. Your team (and your software) won’t be doing ML. Our driver stack lives at the lowest level of the backend AWS infrastructure responsible for managing our ML servers. You and your team will develop HALs for components used by machine learning, like PCIe and HBM, but won’t need to deeply understand ML yourselves.

This role can be based in either Cupertino, CA or Austin, TX. The team is split between the two sites, with no preference for one over the other.

This is a fast-paced role where 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 software, as well as our products' overall performance, quality, and cost.

We're changing an industry. We're searching for individuals who are ready for this challenge, who want to reach beyond what is possible today. Come join us and build the future of machine learning!

A day in the life
A few videos help explain what the Annapurna Labs ML team is working on:
- https://youtu.be/4nfkonjjICo?si=nKhM1Wv4108mnIOa
- https://youtu.be/n38WDflRbjQ?si=SZEV5i_5du1jKYP-

About the team
AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.

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.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Please mention that you found this job on Moaijobs, this helps us get more companies to post here, thanks!

Related Jobs

AMD
Senior Machine Learning Software Engineer
Austin, Texas
AMD
Senior Machine Learning Software Engineer
Bellevue, Washington
AMD
Senior Machine Learning Software Engineer
Oregon, United States
C3 AI
Senior Software Engineer - Machine Learning
Redwood City, CA
Welocalize
Software Engineer Team Lead
Noida, India