Sr. Technical Product Manager - Neuron Compiler, Annapurna Labs - Amazon : Job Details

Sr. Technical Product Manager - Neuron Compiler, Annapurna Labs

AWS Neuron is looking for an experienced Technical Product Manager to define and drive product strategy for the AWS Neuron Compiler. 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 Compiler requirements working backward from customer needs, drive compiler features definition at the intersection of ML Frameworks and hardware acceleration, and drive developer experience improvements, enabling customers to successfully develop and optimize ML workloads on AWS Neuron through deep understanding of compiler systems, ML frameworks, 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.

Key Qualifications

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 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

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

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 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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