101 applicants

Company

NVIDIA · 1 day ago

CUDA Python Technical Product Manager

United States

Full-time

Remote

Senior Level

$160K/yr - $310K/yr

6+ years exp

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Artificial Intelligence (AI)GPU

Growth Opportunities

H1B Sponsor Likely

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Responsibilities

Define the product vision, strategy, and roadmaps for CUDA Python

Collaborate with internal CUDA engineers, Python core developers, and key team members to deliver a seamless Python-to-CUDA experience.

Engage with the open-source community, understand their needs, and translate those into product features that improve the developer experience.

Ensure the integration of CUDA Python aligns with other key NVIDIA technologies

Identify and prioritize use cases for CUDA Python across industries like machine learning, scientific computing, and deep learning.

Work with developer relations and marketing teams to craft a go-to-market strategy, positioning CUDA Python as a critical tool for developers, scientists, and researchers.

Analyze market trends and customer feedback to make data-driven decisions on product features and improvements.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonCUDAGPU computingProduct managementTechnical project managementNumPySciPyCuPyTensorFlowPyTorchCompiler technologiesJIT compilationPerformance optimization

Required

BS, or MS in Computer Science, Computer Engineering, or a similar field, or equivalent experience.

6+ years of experience in product management, technical project management, or similar roles in the technology industry.

Solid understanding of GPU computing, CUDA, and Python programming.

Experience working with developers, open-source communities, or technical users to gather feedback and drive product improvements.

Excellent communication and interpersonal skills with a strong ability to influence cross-functional teams.

Preferred

Experience working on new technologies, particularly with Python and GPU computing, and bringing them to market.

In-depth knowledge of CUDA, Python libraries for numerical computation (such as NumPy, SciPy, or cuPy), and GPU-accelerated machine learning frameworks like TensorFlow or PyTorch.

Familiarity with compiler technologies, JIT compilation, and performance optimization for high-performance computing.

Passion for driving community engagement and improving developer tools.

Benefits

Equity

Comprehensive benefits package

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10,001+ employees

https://www.nvidia.com

H1B Sponsorship

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2023 (735)

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2020 (534)