Software Development Manager - ML Compiler AWS Neuron Annapurna Labs
Software Development Manager - ML Compiler AWS Neuron Annapurna Labs
Posted on :
12-04-2025
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1 Vacancy
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Job Description
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 the 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 a cutting 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 and Trainium. AWS Neuron is 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 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:
As a Manager III on the AWS Neuron team youll be leading a team of compiler engineers through developing deploying and scaling a compiler targeting AWS Inferentia and Trainium. 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 vision and technical communication skills as a handson partner to AWS ML services teams to be involved in presilicon design bring new products/optimizations/features to market and many other exciting projects to ensure the Neuron SDK exceeds our customers needs of high performance low cost and ease of use.
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.
AWS Utility Computing (UC) provides product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services. Additionally this role may involve exposure to and experience with Amazons growing suite of generative AI services and other cuttingedge cloud computing offerings across the AWS portfolio.
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips accelerators and software stacks enable us to take on technical challenges that have never been seen before and deliver results that help our customers change the world.
Explore the Product:
order to be considered for this role candidates must be currently located or willing to relocate to Toronto.
Key job responsibilities
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 the 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 a cutting 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 and Trainium. AWS Neuron is 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 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:
As a Manager III on the AWS Neuron team youll be leading a team of compiler engineers through developing deploying and scaling a compiler targeting AWS Inferentia and Trainium. 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 vision and technical communication skills as a handson partner to AWS ML services teams to be involved in presilicon design bring new products/optimizations/features to market and many other exciting projects to ensure the Neuron SDK exceeds our customers needs of high performance low cost and ease of use.
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 Toronto.
About the team
About the Team
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 knowledgesharing and mentorship. Our senior members enjoy oneonone mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
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.
About 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.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
3 years of engineering team management experience
6 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
Excellent software design fundamentals knowledge of software engineering principles and a deep understanding of compilers (resource management instruction scheduling code generation and compute graph optimization
M.S. or Ph.D. in Computer Science or related technical field
Experience with toolchains (LLVM GCC) and code generation techniques for new hardware
Knowledge of compiler internals from front end to runtime environment with emphasis on AI acceleration
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 disability age 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.
The Team: The Amazon Annapurna Labs team is 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:
As a Manager III on the AWS Neuron team youll be leading a team of compiler engineers through developing deploying and scaling a compiler targeting AWS Inferentia and Trainium. 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 vision and technical communication skills as a handson partner to AWS ML services teams to be involved in presilicon design bring new products/optimizations/features to market and many other exciting projects to ensure the Neuron SDK exceeds our customers needs of high performance low cost and ease of use.
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.
AWS Utility Computing (UC) provides product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services. Additionally this role may involve exposure to and experience with Amazons growing suite of generative AI services and other cuttingedge cloud computing offerings across the AWS portfolio.
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips accelerators and software stacks enable us to take on technical challenges that have never been seen before and deliver results that help our customers change the world.
Explore the Product:
order to be considered for this role candidates must be currently located or willing to relocate to Toronto.
Key job responsibilities
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 the 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 a cutting 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 and Trainium. AWS Neuron is 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 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:
As a Manager III on the AWS Neuron team youll be leading a team of compiler engineers through developing deploying and scaling a compiler targeting AWS Inferentia and Trainium. 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 vision and technical communication skills as a handson partner to AWS ML services teams to be involved in presilicon design bring new products/optimizations/features to market and many other exciting projects to ensure the Neuron SDK exceeds our customers needs of high performance low cost and ease of use.
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 Toronto.
About the team
About the Team
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 knowledgesharing and mentorship. Our senior members enjoy oneonone mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
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.
About 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.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
3 years of engineering team management experience
6 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
Excellent software design fundamentals knowledge of software engineering principles and a deep understanding of compilers (resource management instruction scheduling code generation and compute graph optimization
M.S. or Ph.D. in Computer Science or related technical field
Experience with toolchains (LLVM GCC) and code generation techniques for new hardware
Knowledge of compiler internals from front end to runtime environment with emphasis on AI acceleration
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 disability age 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.
Required Experience:
Manager
Employment Type
Full-Time
Department / Functional Area
Key Skills
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