CUDA Python Technical Product Manager
@ NVIDIA

Hybrid
$250,000
Hybrid
Full Time
Posted 22 hours ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXX******* @nvidia.com
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Job Details

Overview

Are you passionate about using Python to harness high-performance computing? NVIDIA is seeking a CUDA Python Technical Product Manager to drive the vision, strategy, and product roadmap for bringing Python as a native experience on the CUDA platform.

Key Responsibilities

  • Define product vision, strategy, and roadmap for CUDA Python.
  • Collaborate with internal CUDA engineers, Python core developers, and key team members.
  • Engage with the open-source community to translate feedback into product features.
  • Ensure compatibility with NVIDIA technologies and prioritize industry use cases.
  • Support go-to-market strategy with developer relations and marketing teams.
  • Analyze market trends and customer feedback for data-driven decisions.

Required Qualifications

  • BSc/MSc in Computer Science, Computer Engineering or related field, or equivalent experience.
  • 6+ years in product management or technical project management in technology.
  • Strong understanding of GPU computing, CUDA, and Python programming.
  • Experience collaborating with developers, open-source communities, and technical users.
  • Excellent communication and interpersonal skills.

Preferred Skills & Experience

  • Experience with Python libraries like NumPy, SciPy, or cuPy.
  • Knowledge of GPU-accelerated machine learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with compiler technologies, JIT compilation and performance optimization.
  • Passion for community engagement and developer tool enhancement.

Additional Information

The role offers competitive salaries, equity eligibility, and a comprehensive benefits package. NVIDIA values diversity, is an equal opportunity employer, and encourages applications until October 13, 2025.

Key skills/competency

  • CUDA
  • Python
  • Product Management
  • GPU Computing
  • Roadmap
  • Open-source
  • High-Performance
  • Technical Strategy
  • Developer Relations
  • Market Analysis
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How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize your resume: Highlight GPU and Python expertise.
  • Research NVIDIA: Study their technology and culture on LinkedIn.
  • Demonstrate impact: Provide examples of product roadmap successes.
  • Engage in community: Showcase open-source contributions.

📝 Interview Preparation Advice

Technical Preparation

Review CUDA and Python integration techniques.
Practice product roadmap case studies.
Understand GPU programming fundamentals.
Study competitive high-performance computing solutions.

Behavioral Questions

Describe a time you led a cross-functional team.
Explain resolving conflicting project priorities.
Discuss engaging with developer communities.
Share an example of data-driven decision making.

Frequently Asked Questions