Systems Software Manager, Annapurna Labs Machine Learning Acceleration, AWS

AWS Trainium servers are complex supercomputers with both hardware and software built entirely in-house from the ground-up. Were looking for someone to lead our SoC (System on a Chip) Hardware Abstraction Layer (HAL) team. Youll be responsible for directing the team both technically and managerially getting into the details of both. Youll dig in to understand our custom SoCs and build effective software that abstracts out the details for higher layers of the software stack.

Youll work closely with chip architects designers verification engineers and fellow software engineers to shape our next-generation of Machine Learning acceleration. Youll effectively manage coach and direct your team to execute on this vision alongside you. This is a hands-on in-the-trenches leadership position where youll manage systems debug issues and write code alongside your team.

As the SoC HAL Manager you will:
- Manage and develop a strong team of 6 developers
- Work with hardware designers to write software that boots and manages newly developed SoC IPs
- Work with other system software teams to solve SoC and system-level architectural issues drive debug and innovate on cross-functional solutions
- Improve-upon 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
Annapurna Labs our organization within AWS 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. Take a look at the teams most recent success story with Trainium3:
- will thrive in this role if you:
- Enjoy and excel in building managing and leading teams
- Are comfortable with both C and Python
- 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
- 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) wont be doing machine learning. Our software is part of the backend AWS infrastructure responsible for managing servers. You and your team will develop software for components used by machine learning like PCIe and HBM but wont 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.

Were changing an industry. Were 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!


- 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 in communicating with users other technical teams and senior leadership to collect requirements describe software product features technical designs and product strategy
- 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166400/year in our lowest geographic market up to $287700/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.