Software Development Manager, LLM Inference Model Enablement, Neuron SDK

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 AWSs services and features apart in the industry.

We develop AWS Neuron the complete software stack for Trainium Amazons custom cloud-scale
machine learning accelerators. Come optimize LLMs such as Llama and GPT-OSS to run really fast on Trainium.

As the SDM for the LLM Inference Model Enablement team you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs both dense and MoE for inference on Neuron and Trainium and Inferentia accelerators. You will also drive improvements in model enablement speed and experience while advancing inference usability and quality through inference features infrastructure optimization tools and automation.

The ideal candidate will have a strong background in LLM model architectures model performance optimizations and inference techniques 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 model enablement and performance optimization for the latest SOTA LLMs build and deliver them to customers.

Meanwhile lead the team to continue improving the model onboarding experience as well as enhancing inference usability and quality for Neuron-supported models.

You will manage changing priorities as new models and new technologies emerge and you adapt your teams 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 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.

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.

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 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 knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 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

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