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

- **Company:** Annapurna Labs
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Salary:** $220,100.0 - $297,700.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Code Generation, Azure Machine Learning, Software Engineering, Toolchain, Information Technology
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c25fe0f0f51f5a8d

## About the Role

Do you have experience in Software engineering?, You: As a Manager III on the AWS Neuron team, you'll be leading a team of compiler engineers through developing, deploying, and scaling a compiler targeting AWS Inferentia and Trainium. You'll need to be technically capable, credible and curious in your own right as a trusted AWS Neuron Manager, innovating on behalf of our customers. You'll leverage your 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.

You will have deep knowledge of resource management, scheduling, code generation, optimization, and new instruction architectures including CPU, NPU, GPU and novel forms of compute., * 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, * Experience partnering with product and program management teams
 * Experience designing and developing large scale, high-traffic applications

 - - 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.



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