Amazon
Senior Technical Product Manager - ML Frameworks , Annapurna Labs
Amazon, Cupertino, California, United States, 95014
Senior Technical Product Manager - ML Frameworks, Annapurna Labs 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.
Please read the following job description thoroughly to ensure you are the right fit for this role before applying. 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. Key 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. 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 ML Frameworks fundamentals and 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 frameworks: JAX or PyTorch. - Familiarity with AWS services and cloud infrastructure engineering. - Track record of driving open standards and ecosystem integration. 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.
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Please read the following job description thoroughly to ensure you are the right fit for this role before applying. 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. Key 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. 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 ML Frameworks fundamentals and 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 frameworks: JAX or PyTorch. - Familiarity with AWS services and cloud infrastructure engineering. - Track record of driving open standards and ecosystem integration. 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.
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