Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron the software development kit used to accelerate deep learning and GenAI workloads on Amazons custom machine learning accelerators Inferentia and Trainium.

The Acceleration Kernel Library team is at the forefront of maximizing performance for AWSs custom ML accelerators. Working at the hardwaresoftware boundary our engineers craft highperformance kernels for ML functions ensuring every FLOP counts in delivering optimal performance for our customers demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of whats possible in AI acceleration.

The AWS Neuron SDK developed by the Annapurna Labs team at AWS is the backbone for accelerating deep learning and GenAI workloads on Amazons Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler runtime and application framework that seamlessly integrates with popular ML frameworks like PyTorch enabling unparalleled ML inference and training performance.

As part of the broader Neuron Compiler organization our team works across multiple technology layers from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning highperformance computing and distributed architectures where youll help shape the future of AI acceleration technology

This is an opportunity to work on cuttingedge products at the intersection of machinelearning highperformance computing and distributed architectures. You will architect and implement businesscritical features publish cuttingedge research and mentor a brilliant team of experienced engineers. We operate in spaces that are very large yet our teams remain small and agile. There is no blueprint. Were inventing. Were experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators.

Explore the product and our history!
job responsibilities
Our kernel engineers collaborate across compiler runtime framework and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software hardware and machine learning systems youll bring expertise in lowlevel optimization system architecture and ML model acceleration. In this role you will:

* Design and implement highperformance compute kernels for ML operations leveraging the Neuron architecture and programming models
* Analyze and optimize kernellevel performance across multiple generations of Neuron hardware
* Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks
* Implement compiler optimizations such as fusion sharding tiling and scheduling
* Work directly with customers to enable and optimize their ML models on AWS accelerators
* Collaborate across teams to develop innovative kernel optimization techniques



A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture youll create metrics implement automation and other improvements and resolve the root cause of software defects. Youll also:

Build highimpact solutions to deliver to our large customer base.

Participate in design discussions code review and communicate with internal and external stakeholders.

Work crossfunctionally to help drive business decisions with your technical input.

Work in a startuplike development environment where youre always working on the most important stuff.

About the team
#1. Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.


#2. Inclusive Team Culture
Here at AWS 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 (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 16 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.

#3. 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.

#4. 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a betterrounded professional and enable them to take on more complex tasks in the future.

#5. Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.


3 years of engineering team management experience
7 years of working directly within engineering teams experience
3 years of designing or architecting (design patterns reliability and scaling) of new and existing systems experience
8 years of leading the definition and development of multi tier web services experience
Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle including coding standards code reviews source control management build processes testing certification and livesite operations
Experience partnering with product or program management teams

Experience in communicating with users other technical teams and senior leadership to collect requirements describe software product features technical designs and product strategy
Experience in recruiting hiring mentoring/coaching and managing teams of Software Engineers to improve their skills and make them more effective product software engineers

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.