You will join a dynamic team working in the GenaAI revolution by applying AI to AI. You will work building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's
Machine Learning silicon: Trainium. You will work with external and internal customers to identify the main obstacles and the opportunities to accelerate their adoption of the Neuron technology. You will be a key member of the team driving our vision and strategy in this space critical to
AWS's Generative AI business. Will also lead a team building AI agents and tools that simplify
AWS Neuron adoption for
Machine Learning developers working with Trainium chips, partnering with external and internal customers to identify obstacles and accelerate their migration to
AWS's ML silicon.
Key job responsibilities
This is a highly visible role that requires partnering with other Neuron Software teams, Applied Science,
AWS AI Services, external partners and customers with a potential high impact on
AWS's top and bottom line. As a member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical and leadership responsibilities:
* Collaborate with scientists, engineers, product managers and executive leadership to create the technical vision and roadmap for agents and tools used by internal and external
Machine Learning developers.
* Serve as a technical lead on demanding,
cross-functional projects critical to
AWS's future success in the AI space..
* Deliver on ambitious goals to improve the time and effort it takes to port and optimize
Machine Learning workloads on Neuron.
* Contribute intellectual property through patents.
* Hire and assist in the career development of your team members, actively mentoring individuals on advanced technical issues and their career growth.
* Contribute to the definition of best practices for the software development lifecycle used by junior engineers, including its design, implementation, testing, and operational characteristics.
About the team
The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon
Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling.
- 3+ years of engineering team management experience
- 5+ 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
- 5+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- 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.
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
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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 203,400.00 - 275,200.00 USD annually