Sr. Product Manager Runtime Infra, AI/ML, Annapurna Labs

Job description

Description
AWS Neuron is looking for an experienced Technical Product Manager to define and drive product strategy for Neuron Runtime and ML Infrastructure integration.

You will be part of the AWS Neuron Product Management team, driving innovation in machine learning acceleration software.

AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips, delivering best-in-class ML performance in the cloud.

You will lead runtime and infrastructure requirements working backward from customer needs, drive performance and scalability features across Neuron Runtime and container ecosystems, enabling ML training and inference at scale, optimal orchestration and efficient resource management, efficient execution of machine learning models and integration with AWS services.

This role will empower customers to successfully deploy and scale ML workloads on AWS Neuron through deep understanding of runtime systems, infrastructure design, and cloud service integration.

The ideal candidate will have deep understanding of runtime systems, distributed computing, container orchestration, and ML infrastructure, with expertise in performance optimization, collective communication, Kubernetes ecosystems, Linux systems and enterprise distributions, and ML infrastructure deployment.

Additionally, the ideal candidate should have:

* Proven track record of driving product strategy and owning roadmap definition in complex technical environments
* Experience delivering features with deep understanding of technical trade-offs and product implications
* Strong ability to contribute to and influence engineering discussions around technology decisions and strategy
* Demonstrated success in representing customer needs and driving alignment during executive-level prioritization
* Track record of delivering results in fast-paced, ambiguous environments, particularly in early-stage programs
* Experience with modern software development and collaborative open-source projects

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.

Key job responsibilities
In this role, you will:

* Drive and execute product strategy and roadmap working backwards from customer requirements in collaboration with engineering technical leadership
* Assess technical implications of product architecture and optimization decisions
* Drive technical alignment across Neuron components, Neuron workflows and dependencies
* Work directly with software engineering teams to define and execute on new features
* Produce clear and concise documents such as PRFAQ and PRD documents
* Write user stories, and validate features meet developer needs
* Drive feature discussions with customers, engineering, and other stakeholders
* Anticipate bottlenecks, manage risk and escalations, balancing technical constraints
* Find opportunities to innovate on behalf of our customers, design features related to these opportunities, and always push to improve our product developer experience
* Build ecosystem partnerships and stay connected with industry trends
* Represent the product in relevant industry events

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.

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.

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 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.

Basic Qualifications
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 10+ years of industry experience with at least 5+ years in Technical product management and 3+ years of software development
- Solid knowledge in container orchestration and Kubernetes
- Solid knowledge in computer architecture fundamentals and operating systems concepts
- Excellent written and verbal communication abilities
Preferred Qualifications
- Experience with Linux systems and kernel development
- Track record of driving developer libraries
- Experience with Machine Learning accelerators
- Experience with concepts such as performance optimization, profiling and tooling
- Experience with Deep Learning model training or inference.
- Experience with distributed computing and parallel processing
- Hands on experience with major ML framework: JAX or PyTorch
- Familiarity with AWS services and cloud infrastructure engineering
- Track record of driving open standards and ecosystem integration

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 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 $136,100/year in our lowest geographic market up to $235,200/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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