Software Development Manager, AWS Neuron, Annapurna Labs

Job description

AWS Machine Learning accelerators are at the forefront of AWS innovation.

The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud.

This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler.

The SDK natively integrates into popular ML frameworks, such as PyTorch, JAX and TensorFlow.

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 cloud-scale impact with world-class 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 exceptional Software Engineering Manager to lead our Deep-Learning Compiler team.

In this Manager III role, you will lead a team of talented compiler software engineers in the design and development of a machine learning compiler.

The ideal candidate will combine strong technical expertise with leadership abilities.

As an AWS Neuron Manager, you will lead the design and development of ML compiler solutions, drive execution and mentor your team of engineers.

Your expertise will be essential in developing features and optimization techniques, lead hardware bring-up of next-generation chips and influence pre-silicon design.

This role offers the opportunity to make a significant impact on AWS's machine learning infrastructure while bringing new products and features to market.

Explore the Product:




A 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 employee-led affinity groups, reaching 40,000 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.

Amazon’s 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 work-life balance.

It isn’t about how many hours you spend at home or at work; it’s 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 life-long 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 we’re building an environment that celebrates knowledge sharing and mentorship.

Our senior members enjoy one-on-one mentoring.

We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded 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 employee-led affinity groups, reaching 40,000 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.

Amazon’s 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 work-life balance.

It isn’t about how many hours you spend at home or at work; it’s 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 life-long 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 we’re building an environment that celebrates knowledge sharing and mentorship.

Our senior members enjoy one-on-one mentoring.

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

BASIC QUALIFICATIONS

- 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)

PREFERRED QUALIFICATIONS

- 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 open-source 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.

Required Skill Profession

Computer Occupations