Amazon

Sr. Software Development Manager, AWS Neuron ML Frameworks

Seattle, WA Cupertino, CA
USD 198k - 342k
AWS Machine Learning PyTorch
Description
- 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
- Experience partnering with product and program management teams
- Experience designing and developing large scale, high-traffic applications

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, protected veteran status, disability, age, 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 Company’s 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 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 $198,100/year in our lowest geographic market up to $342,300/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.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.

Join the team that builds AWS Neuron, the software stack that runs all the leading AI models on the AWS Inferentia and Trainium cloud-scale machine learning accelerators.

As the Sr. Software Development Manager of ML Frameworks & Ecosystems you will lead the team that develops and extends Neuron support for leading ML frameworks including PyTorch and JAX. You will develop and deliver the framework plugins and libraries that enable a great user experience for developing and optimizing models on Trainium and Inferentia accelerators, and work closely with the open source ecosystem to drive improvements to enable models port seamlessly across accelerators.

You will work closely with the Neuron compiler, training and inference optimization teams, ML model developers and users to deliver best performance on top AI models.

You should have an established background in AI Frameworks and Machine Learning infrastructure such as PyTorch, PyTorch/XLA, and JAX. Experience with OpenXLA is a significant plus. You should have demonstrated ability to work with open source communities to influence future community direction, a strong technical understanding and a motivation to achieve results.



Key job responsibilities
Responsible for the full life cycle of developing and releasing JAX and Pytorch framework support for AWS Neuron.

Understand current and future directions of ML framework development, with a focus on enabling and optimizing the latest features of ML frameworks.

Work closely with the PyTorch and JAX community to actively drive the future directions to improve the experience of developing and optimizing ML models across multiple platforms.

Develop and grow your team to meet the ever-expanding needs of the AI software ecosystem.

A day in the life
You will work with the executive leadership and other senior management and technical leaders to define strategic directions and deliver new capabilities to ML model developers and users. You will work closely with your team to enhance our current framework support for the latest ML models and for top customers and to grow and advance your team's capabilities. You will solve challenges facing current users to enable the best performance on the latest accelerators. You will collaborate with the PyTorch and JAX community across the AI industry to drive ML framework technology forward.

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.

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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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.

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