Amazon Web Services (AWS)
Sr. Product Manager - Kernels, AI/ML, Annapurna Labs
Amazon Web Services (AWS), Seattle, Washington, us, 98127
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Sr. Product Manager - Kernels, AI/ML, Annapurna Labs
role at
Amazon Web Services (AWS) .
Description AWS Neuron is looking for an experienced Technical Product Manager to define and drive product strategy for the Neuron Kernel Interface (NKI), a compiler library enabling custom kernel development and optimization. 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 NKI requirements working backward from customer needs, drive kernel library features definition, and drive developer experience for custom kernel development, enabling customers to successfully and independently develop and optimize ML workloads on AWS Neuron through deep understanding of compiler systems, kernel optimization, and hardware acceleration.
The ideal candidate will have solid understanding of compiler technologies, computer architecture, and ML systems. They should be able to assess technical implications of compiler architecture decisions, understand customer needs, and drive developer experience strategy. Experience with ML frameworks, model architectures, and distributed computing is highly 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
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 includes an 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
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
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 compiler technologies and optimization techniques
Solid knowledge in computer architecture fundamentals and operating systems concepts
Excellent written and verbal communication abilities
Preferred Qualifications
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.
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Sr. Product Manager - Kernels, AI/ML, Annapurna Labs
role at
Amazon Web Services (AWS) .
Description AWS Neuron is looking for an experienced Technical Product Manager to define and drive product strategy for the Neuron Kernel Interface (NKI), a compiler library enabling custom kernel development and optimization. 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 NKI requirements working backward from customer needs, drive kernel library features definition, and drive developer experience for custom kernel development, enabling customers to successfully and independently develop and optimize ML workloads on AWS Neuron through deep understanding of compiler systems, kernel optimization, and hardware acceleration.
The ideal candidate will have solid understanding of compiler technologies, computer architecture, and ML systems. They should be able to assess technical implications of compiler architecture decisions, understand customer needs, and drive developer experience strategy. Experience with ML frameworks, model architectures, and distributed computing is highly 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
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 includes an 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
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
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 compiler technologies and optimization techniques
Solid knowledge in computer architecture fundamentals and operating systems concepts
Excellent written and verbal communication abilities
Preferred Qualifications
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.
#J-18808-Ljbffr