AWS Neuron is looking for an experienced Technical Product Manager to define and drive product strategy for ML framework 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 framework integration requirements working backward from customer needs, drive native framework support (such as PyTorch and JAX), and collaborate with open source communities and ML ecosystem partners, enabling customers to successfully develop and optimize ML workloads on AWS Neuron through deep understanding of ML frameworks, compilation systems, and hardware acceleration.
The ideal candidate will have a solid understanding of ML frameworks, compilation systems, and runtime architectures. They should be able to assess technical implications of integration decisions, understand customer needs, and drive developer experience. Experience with distributed computing, ML optimization, and hardware acceleration is valuable.
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
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
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.- 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 compiler technologies and optimization techniques
- Solid knowledge in ML Frameworks fundamentals and concepts
- Excellent written and verbal communication abilities- Experience with CUDA, Triton, and/or Pallas kernel technologies
- 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.
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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.
