Software Development Manager - Compiler, AWS Neuron, Annapurna Labs

Amazon; Bellevue (WA); On-site; USD 166,000 - 288,000; Full time

Job summary

An established industry player is seeking a Software Development Manager to lead a talented team in creating innovative machine learning solutions. This role involves managing the development of a cutting-edge machine learning compiler simulator and verifier, critical for optimizing performance on advanced chips. The company fosters a culture of inclusion, mentorship, and work-life balance, making it an exciting place to grow your career. If you're passionate about technology and leadership, this opportunity offers a dynamic environment where your contributions will significantly impact the future of machine learning at scale.

Benefits

Flexible Working Hours

Mentorship Programs

Diversity and Inclusion Initiatives

Career Growth Opportunities

Qualifications

• 5+ years of engineering team management experience required.
• Strong knowledge of compilers and simulation software development.

Responsibilities

• Lead a team in designing and developing a machine learning compiler simulator.
• Enhance development efficiency and streamline debugging processes.

Skills

Team Management

Simulation Software Development

Compiler Knowledge

Deep Learning Models

Product Management Collaboration

Education

B.S. in Computer Science

M.S. in Computer Science

Ph.D. in Computer Science

Tools

LLVM

LIR

Job description

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 industry-leading ML inference and training performance at the lowest cost in the cloud. This is all enabled by the 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 widely adopted by customers and partners like 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.

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 execution 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 hands-on partner to AWS ML services teams, involved in pre-silicon design, bringing new products/features to market.

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.

Minimum Qualifications:

1. B.S. or M.S. in Computer Science or related field
2. 5+ years of engineering team management experience
3. Experience partnering with product management
4. Strong knowledge of developing and/or managing simulation software
5. Solid understanding of compilers (specifically, resource management, instruction scheduling, code generation, and compute graph optimization)

Preferred Qualifications:

1. M.S. or Ph.D. in Computer Science or related technical field
2. Experience with deep learning models and algorithms
3. Experience with LLVM, LIR
4. 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. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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.

This position will remain posted until filled. Applicants should apply via our internal or external career site.