Software Development Manager - Compiler AWS Neuron Annapurna Labs

The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers bestinclass ML inference performance at the lowest cost in cloud. Trainium will deliver the bestinclass ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by edge software stack the AWS Neuron Software Development Kit (SDK) which includes an ML compiler runtime and natively integrates into popular ML frameworks such as PyTorch TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia. AWS Neuron and Inferentia are used at scale with customers and partners like PyTorch Epic Games Snap AirBnB Autodesk Amazon Alexa Amazon Rekognition and more customers in various other segments.

The Team: The Amazon Annapurna Labs team is a responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the worlds most talented engineers. Our team covers multiple disciplines including silicon engineering hardware design and verification software and operations. With such breadth of talent theres 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. Were inventing. Were experimenting. When you couple that with the ability to work on so many different products and services its a very unique learning culture.

Learn more about Our History:
We are seeking a talented SW Engineering Manager with strong leadership/ mentoring skills to join our Deep Learning Compiler Team. As a Manager III you be leading a team of experienced compiler engineers developing compiler optimization algorithms and deploying at scale a new compiler targeting AWS custom hardware. Youll need to be technically capable credible and curious in your own right as a trusted AWS Neuron Manager innovating on behalf of our customers. Youll leverage your technical communications skill as a handson partner to AWS ML services teams involved in presilicon design bringing new products/features to market. As deep learning models become more versatile using compiler technologies to achieve both high performance and high productivity becomes essential. Join the team to build the software that will boost the entire deep learning community.

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.

Explore the Product:
order to be considered for this role candidates must be currently located or willing to relocate to Cupertino (preferred) Seattle or Austin.

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.



5 years of engineering team management experience
9 years of working directly within engineering teams experience
4 years of designing or architecting (design patterns reliability and scaling) of new and existing systems experience
Experience partnering with product or program management teams
Deep understanding of compilers (resource management instruction scheduling code generation and compute graph optimization)
Strong software design fundamentals and excellent systemlevel coding skills with an emphasis on graph theory and performance techniques

M.S. or Ph.D. in Computer Science or related technical field
Experience with toolchains (LLVM GCC) and code generation techniques for new hardware
Experience with XLA TVM MLIR LLVM deep learning models and algorithms and deep learning framework design.
Interactions with opensource communities in either a leadership or code contributor role

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.

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.