Custom silicon chips live at the heart of AWS Machine Learning servers, and this team builds the Back End software that runs these servers. We're looking for someone to lead our SoC (System on Chip) device-driver/HAL (Hardware Abstraction Layer) software team. You'll help us deliver at scale as we build the next generation of SoC software. This is a hands-on, in-the-trenches leadership position, where you'll manage systems, debug issues, and write code alongside your team.

• Manage a team of 6 developers
• Work with hardware designers to write drivers for newly developed SoC IPs
• Work with system software teams to solve SoC and system-level architectural issues, drive debug, and innovate on cross-functional solutions
• Refactor and maintain existing codebases throughout the device lifecycle
• Continuously test and deploy your software stack to multiple internal customers
• Innovate on the tooling you provide to customers, making it easier for them to use and debug our SoCs

• Enjoy building, managing, and leading small teams
• Love solving complex system-level issues
• Are proficient in C+ and familiar with Python
• Know how to build effective abstractions over low-level SoC details
• Are familiar with modular driver architectures (such as the Linux or Windows driver stacks)
• Have strong opinions about software architecture, and are able to apply them effectively
• 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 machine learning chips, no machine learning background is needed for this role. Your team (and your software) won't be doing machine learning. Our driver stack lives at the lowest level of the Back End AWS infrastructure responsible for managing our ML servers. You and your team will develop drivers 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 most of the team sitting in Cupertino, and customers in both.

For a taste of our team's products and culture, check out our most recent success story with Trainium3:

• https://www.aboutamazon.com/news/aws/trainium-3-ultraserver-faster-ai-training-lower-cost

• 3+ years of engineering team management experience
• 7+ years of non-internship professional software development experience
• 7+ years of programming using a modern programming language such as Java, C+, or C#, including object-oriented design experience
• 4+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production
• 2+ years of C+ development experience
• Experience developing software for hardware (SoC, ASIC, GPU, CPU, etc.)

• Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company - Annapurna Labs (U.S.) Inc.
Job ID: A3155264