NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. The world of computing is constantly evolving, and we believe that data scientists and engineers should be able to seamlessly accelerate their applications and workflows. RAPIDS, the open-source suite of accelerated data science libraries and primitives, brings accelerated computing to the wider analytics world by combining the performance of NVIDIA GPUs with the ease of use of Python, Apache Spark, and modern C++ APIs.

Today, Python is the world’s most popular programming language. It’s used for science, engineering, data analytics, deep learning, and more. We’re looking for an outstanding Technical Product Manager to help drive the development and adoption of RAPIDS in the PyData ecosystem. As a RAPIDS Product Manager, you’ll work with a community of developers, data scientists, and NVIDIA’s world-leading engineering teams to help shape the future of accelerated computing in the Python data science ecosystem.

What you’ll be doing:

• Define and Prove - Bring together insight and market analysis to help shape how NVIDIA enables accelerating computing in the PyData ecosystem

• Discover Opportunities - Work with library developers, data scientists, and engineers to discover underlying needs and incorporate them into roadmaps and priorities

• Build and Deliver - Work closely with engineering to align priorities, define requirements, and implement

• Sense and Respond - Engage with customers, educate the developer community, drive strategic integrations, present at conferences, and identify user difficulties

• Launch Products – Collaboratively develop and implement cross-functional go-to-market strategies spanning marketing, engineering, developer relations, PR, sales, etc.

• Create Assets – Work with internal and external partners to define positioning and build technical content, including blog posts, workshops, and more to share the product value proposition

What we need to see:

• Bachelor’s Degree in a quantitative field (e.g., Applied Math, Computational Science, Computer Science, Machine Learning, etc.) or equivalent experience

• 6+ years of proven experience as a technical product manager, data scientist, data engineer, machine learning engineer, or similar role

• Hands on work with data science, data engineering, or machine learning problems within the PyData world

• Excellent balance of deep technical and business knowledge of the data analytics space

• Analytical approach and ability to synthesize user research, engineering feasibility, and market trends into product strategy

• Extraordinary interpersonal skills with a validated ability to articulate a value proposition to technical and non-technical audiences.

Ways to stand out from the crowd:

• Experience collaborating with and contributing to open-source projects in the PyData ecosystem

• Served as a product manager for a Python-based product

• Strong programming skills and familiarity with CUDA and GPU fundamentals

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer / product manager, who enjoys autonomy and shares our passion for technology, we want to hear from you.

The base salary range is 160,000 USD - 253,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.