Software Development Manager, AI Inference Technology, Neuron SDK
Annapurna Labs (U.S.) Inc.
Seattle, Washington, USA
Seattle, Washington, USA
- IT
- Full-time
- Software Development Manager
- AI Inference
- AWS Neuron
The Software Development Manager leads a team of AI engineers to develop and optimize inference technology building blocks for AWS Neuron, enabling high-performance LLM model deployments on Trainium and Inferentia accelerators. The role involves managing shifting priorities, deep technical problem-solving, and delivering distributed inference libraries for advanced machine learning models. The position requires strong leadership, extensive engineering experience, and collaboration with product and program management teams to innovate cloud-scale AI solutions.
DESCRIPTION
AWS Utility Computing (UC) provides product innovations — from foundational services such as
Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS’s
services and features apart in the industry.
We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloudscale
machine learning accelerators. Come optimize LLMs such as Llama and GPT OSS to run
really fast on Trainium.
As the SDM for the Neuron Inference Technology building blocks team, you will guide your
expert AI engineers to build fundamental inference technology building blocks and libraries to
enable AI developers to optimize model for inference on Trainium and Inferentia devices. We’re
currently focusing on MoE models such as GPT OSS for Trainium 2 and the upcoming
Trainium 3. You will develop and optimize blocks such as attention kernels and
deliver them in the Neuronx_Distributed Inference Libraries, enabling customers to optimize
LLMs, multimodal, and generative models.
The ideal candidate will have an established background in optimizing LLMs, such as delivering
high-performance models using distributed inference libraries. You should be capable of
managing demanding, fast-changing priorities. You should have a strong technical ability to
understand and deliver as part of a vertically integrated system stack consisting of the PyTorch
inference library, Neuron compiler, runtime and collectives.
A day in the life
You will work with your senior management and technical leaders to define the building blocks
for the latest LLMs, build and deliver them to customers. You will manage changing priorities as
new models and new technologies emerge, and you adapt your team’s work to manage them.
You will dive deep to help your team solve technical challenges.
About the team
About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud
platform. We pioneered cloud computing and never stopped innovating — that’s why
customers from the most successful startups to Global 500 companies trust our robust suite of
products and services to power their businesses.
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, hasn’t
followed a traditional path, or includes alternative experiences, don’t let it stop you from
applying.
Work/Life Balance
We value work-life 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, there’s nothing we can’t achieve in the cloud.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer.
That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing
resources here to help you develop into a better-rounded professional.
- 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
- Experience partnering with product or program management teams
- 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.
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. If the country/region you’re applying in isn’t 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 $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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
AWS Utility Computing (UC) provides product innovations — from foundational services such as
Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS’s
services and features apart in the industry.
We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloudscale
machine learning accelerators. Come optimize LLMs such as Llama and GPT OSS to run
really fast on Trainium.
As the SDM for the Neuron Inference Technology building blocks team, you will guide your
expert AI engineers to build fundamental inference technology building blocks and libraries to
enable AI developers to optimize model for inference on Trainium and Inferentia devices. We’re
currently focusing on MoE models such as GPT OSS for Trainium 2 and the upcoming
Trainium 3. You will develop and optimize blocks such as attention kernels and
deliver them in the Neuronx_Distributed Inference Libraries, enabling customers to optimize
LLMs, multimodal, and generative models.
The ideal candidate will have an established background in optimizing LLMs, such as delivering
high-performance models using distributed inference libraries. You should be capable of
managing demanding, fast-changing priorities. You should have a strong technical ability to
understand and deliver as part of a vertically integrated system stack consisting of the PyTorch
inference library, Neuron compiler, runtime and collectives.
A day in the life
You will work with your senior management and technical leaders to define the building blocks
for the latest LLMs, build and deliver them to customers. You will manage changing priorities as
new models and new technologies emerge, and you adapt your team’s work to manage them.
You will dive deep to help your team solve technical challenges.
About the team
About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud
platform. We pioneered cloud computing and never stopped innovating — that’s why
customers from the most successful startups to Global 500 companies trust our robust suite of
products and services to power their businesses.
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, hasn’t
followed a traditional path, or includes alternative experiences, don’t let it stop you from
applying.
Work/Life Balance
We value work-life 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, there’s nothing we can’t achieve in the cloud.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer.
That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing
resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 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
- Experience partnering with product or program management teams
PREFERRED QUALIFICATIONS
- 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.
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. If the country/region you’re applying in isn’t 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 $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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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