Amazon Web Services (AWS)
Sr. Product Manager - Kernels, AI/ML, Annapurna Labs
Amazon Web Services (AWS), Cupertino, California, United States, 95014
Overview
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. Ideal candidate
will have a solid understanding of compiler technologies, computer architecture, and ML systems. They should assess the 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. 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 push to improve our product developer experience Build ecosystem partnerships and stay connected with industry trends Represent the product in relevant industry events 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 About AWS Neuron
AWS Neuron is the software for Trainium and Inferentia, the AWS ML chips. Neuron includes an ML compiler and native integration into popular ML frameworks. Our products are 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.
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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. Ideal candidate
will have a solid understanding of compiler technologies, computer architecture, and ML systems. They should assess the 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. 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 push to improve our product developer experience Build ecosystem partnerships and stay connected with industry trends Represent the product in relevant industry events 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 About AWS Neuron
AWS Neuron is the software for Trainium and Inferentia, the AWS ML chips. Neuron includes an ML compiler and native integration into popular ML frameworks. Our products are 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.
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