Amazon
Device Driver Engineering Manager, Annapurna Labs Machine Learning Acceleration,
Amazon, Austin, Texas, us, 78716
Device Driver Engineering Manager, Annapurna Labs Machine Learning Acceleration, AWS
Custom silicon chips live at the heart of AWS Machine Learning servers, and this team builds the backend 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.
Responsibilities
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.
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 drivers are a critical piece of the AWS infrastructure management software stack that ensures the chip is functional, performant, and secure.
Qualifications
Enjoy building, managing, and leading small teams.
Love solving complex system‑level issues.
Proficient in C++ and familiar with Python.
Know how to build effective abstractions over low‑level SoC details.
Familiar with modular driver architectures (such as the Linux or Windows driver stacks).
Have strong opinions about software architecture, and can 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 backend 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 two sites, with most of the team in Cupertino, and customers in both.
Basic Qualifications
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 new and existing systems (design patterns, reliability and scaling).
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.).
Preferred Qualifications
Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
Experience 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 the 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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.
A day in the life 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
#J-18808-Ljbffr
Responsibilities
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.
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 drivers are a critical piece of the AWS infrastructure management software stack that ensures the chip is functional, performant, and secure.
Qualifications
Enjoy building, managing, and leading small teams.
Love solving complex system‑level issues.
Proficient in C++ and familiar with Python.
Know how to build effective abstractions over low‑level SoC details.
Familiar with modular driver architectures (such as the Linux or Windows driver stacks).
Have strong opinions about software architecture, and can 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 backend 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 two sites, with most of the team in Cupertino, and customers in both.
Basic Qualifications
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 new and existing systems (design patterns, reliability and scaling).
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.).
Preferred Qualifications
Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
Experience 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 the 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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.
A day in the life 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
#J-18808-Ljbffr