Sr. Software Development Manager - Performance and Tooling, AWS Neuron, Annapurna Labs

About the role

The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning culture.

Responsibilities

• Lead a team of compiler engineers through developing, deploying, and scaling a compiler targeting AWS Inferentia and Trainium.
• Leverage vision and technical communication skills as a hands-on partner to AWS ML services teams, to be involved in pre-silicon design, bring new products/optimizations/features to market, and many other exciting projects to ensure the Neuron SDK exceeds our customers' needs of high performance, low cost, and ease of use.
• Deep knowledge of resource management, scheduling, code generation, optimization, and new instruction architectures including CPU, NPU, GPU and novel forms of compute.

Requirements

• 10+ years of engineering experience
• 5+ years of engineering team management experience
• 10+ years of planning, designing, developing and delivering consumer software experience
• Experience partnering with product or program management teams
• Experience managing multiple concurrent programs, projects and development teams in an Agile environment

Qualifications

• M.S. or Ph.D. in Computer Science or related technical field.
• Experience with toolchains (LLVM, GCC) and code generation techniques for new hardware.
• Knowledge of compiler internals from front end to run-time environment with emphasis on AI acceleration.

Benefits

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.

Pay

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.

Schedule

Final compensation will be determined based on factors including experience, qualifications, and location.