Software Development Manager - Compiler AWS Neuron Annapurna Labs

AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia and Trainium chips deliver industryleading ML inference and training performance at the lowest cost in the cloud. This is all enabled by edge software stack the AWS Neuron Software Development Kit (SDK) which includes an ML compiler and runtime and natively integrates into popular ML frameworks such as PyTorch JAX TensorFlow and MxNet. AWS Neuron is is widely adopted by customers and partners like such as PyTorch Epic Games Snap Airbnb Autodesk Alexa and Rekognition.

Amazon Annapurna Labs drives innovation in silicon and software for AWS blending cloudscale impact with worldclass engineering talent. Our multidisciplinary team spans silicon design hardware verification software and operations. We operate in large complex domains with small agile teams fostering continuous learning and rapid innovation. With no set blueprint we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history:

We are seeking an accomplished Software Engineering Manager with strong leadership and mentoring capabilities to join our Deep Learning Compiler team. In this Manager III role you will lead a team of seasoned compiler and software engineers in the design and development of a machine learning compiler simulator and verifier. The simulator simulates the model at different stages of compilation targeting AWS Inferentia and Trainium chips. The verifier statically checks for correctness and key conditions within the compilation process enabling early detection and prevention of failures. Together they play a critical role in enhancing development efficiency streamlining debugging and enabling rapid prototyping. You 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 will leverage your technical skills as a handson partner to AWS ML services teams involved in presilicon design bringing new products/features to market. Explore the Product:
day in the life
About this hiring group
Inclusive Team Culture Here at Annapurna Labs we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employeeled affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust. Work/Life Balance Our team puts a high value on worklife balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy oneonone mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a betterrounded engineer and enable them to take on more complex tasks in the future.


About the team
Inclusive Team Culture Here at Annapurna Labs we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employeeled affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust. Work/Life Balance Our team puts a high value on worklife balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy oneonone mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a betterrounded engineer and enable them to take on more complex tasks in the future.

B.S. or M.S. in Computer Science or related field
5 years of engineering team management experience
Experience partnering with product management
Strong knowledge of developing and/or managing simulation software
Solid understanding of compilers (specifically resource management instruction scheduling code generation and compute graph optimization)

M.S. or Ph.D. in Computer Science or related technical field
Experience with and deep learning models and algorithms.
Experience with LLVM LMIR
Interactions with opensource communities

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 for more information. If the country/region youre applying in isnt 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 $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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.