Custom SoCs (System on Chips) are the brains behind AWS's Machine Learning servers. Our team builds C++ & SystemC functional models of these custom-designed accelerator SoCs for use by AWS internal teams. We're looking for a Senior SoC Modeling Engineer to join the team and deliver new functional models, infrastructure, and tooling for our customers.
As part of the ML accelerator modeling team, you will:
- Develop and own SoC functional models end-to-end, including model architecture, integration with other model or infrastructure components, testing, and debug
- Work closely with architecture, RTL design, design verification, emulation, and software teams to build, debug, and deploy your models
- Innovate on the tooling you provide to customers, making it easier for them to use our SoC models
- Drive model and modeling infrastructure performance improvements to help our models scale
- Develop software which can be maintained, improved upon, documented, tested, and reused
Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world, with many subsystems that must all be modeled and tested with high quality. Our SoC model is a critical piece of software used in both our SoC development process and by our partner software teams. You'll collaborate with many internal customers who depend on your models to be effective themselves, and you'll work closely with these teams to push the boundaries of how we're using modeling to build successful products.
You will thrive in this role if you:
- Are an expert in functional modeling for SoCs, ASICs, TPUs, GPUs, or CPUs
- Are comfortable modeling in C++ or SystemC, and familiar with Python
- Enjoy learning new technologies, building software at scale, moving fast, and working closely with colleagues as part of a small team within a large organization
- Want to jump into an ML-aligned role, or get deeper into the details of ML at the hardware/system-level
Although we are building machine learning chips, no machine learning background is needed for this role. This role spans modeling of the ML and management regions of our chips, and you'll dip your toes into both. You'll be able to ramp up on ML as part of this role, and any ML knowledge that's required can be learned on-the-job.
This role can be based in either Cupertino, CA or Austin, TX. The broader team is split between the two sites, with a slight preference for CA, due to colocation with more customer teams.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
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, CA, Cupertino - 193,300.00 - 261,500.00 USD annually
