Are you passionate about using Python to bring to bear high-performance computing? Do you want to help Python developers unlock the full potential of GPUs on the CUDA platform? As the demand for GPU-accelerated applications grows across industries like AI, scientific computing, and data analysis, Python developers increasingly seek a more native, detailed experience with CUDA. We are looking for a Technical Product Manager who can drive the vision, strategy, and product roadmap to bring Python to the CUDA platform as a native language.
As a Technical Product Manager for CUDA Python, you will work closely with internal engineering teams, the open-source community, and external developers to define and prioritize features, ensure compatibility with the Python ecosystem, and streamline GPU programming for millions of Python developers worldwide. You'll help craft the future of high-performance Python by providing a detailed experience for Python developers on CUDA while advocating for their needs within NVIDIA.
What you’ll be doing:
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.
What we need to see:
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.
Ways to stand out from the crowd:
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.
If you thrive with solving problems and are passionate about Python, we'd love to hear from you! Join us to craft the future of GPU programming. With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered to be one of the industry's most desirable employers.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
