Sr. Software Development Manager, Generative AI for AWS Neuron at Amazon Development Center U.S[...]
Amazon Development Center U.S., Inc.
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Benefits offered by this job
Job summary
Qualifications
- 10+ years of engineering experience required.
- 5+ years of managing engineering teams.
- Experience in planning, designing, developing consumer software.
Responsibilities
- Create technical vision and roadmap for AI agents.
- Serve as technical lead on cross-functional projects.
- Deliver improvements for Machine Learning on Neuron.
Skills
Job description
Sr. Software Development Manager, Generative AI for AWS Neuron job at Amazon Development Center U.S., Inc. New York, NY.
You will join a dynamic team building and applying AI agents to simplify and accelerate customer adoption of Neuron, the software stack supporting AWS's Machine Learning silicon: Trainium and Inferentia. 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.
Key job 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 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 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.
About Amazon Annapurna Labs Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high‑performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances.
About AWS Neuron AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best‑in‑class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best‑in‑class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more.
About AWS Utility Computing (UC) AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll 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 Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.
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.
Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee‑led 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 conferences, inspire us to never stop embracing our uniqueness.
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.
- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
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