The Role and Impact of CUDA
To help set some context CUDA needs no introduction, it is the centerpiece of NVIDIA AI's success story. CUDA and the software stack built on top of it are what differentiates NVIDIA. There is no industry or major ecosystem globally that CUDA may not have touched, we have millions of developers across the globe who use CUDA on NVIDIA GPU and solve big problems in the domain of Autonomous Driving, Super Computing, HPC, Cloud, Robotics to name a few. CUDA’s Toolkit is like of “Box of Assorted Chocolates” and contains Drivers, User API, Compilers, Developer Tools, Documentation, Libraries, etc. Python is making it easier for scientists and design engineers working on various core Scientific, Engineering, Data Science, LLMs problems to focus and their problem and less on learning a new language, and no wonder it is gaining the fame that is well deserved.
The Senior/Principal Technical Product Manager Role
We are hiring a Senior/Principal Technical Product Manager who can help craft NVIDIA Python strategy, work with various teams internally, engage with the community, and help developers and customers by fillings the gaps in our current product offerings and consolidating NVIDIA Python story. To succeed in this role, you will require an in-depth understanding of the overall Engineering, data science, process design, and research use it to solve complex problems and manipulate large chunks of data quickly and cost-effectively. You will also need strong collaboration and communication skills along with a solid understanding of how technical decisions impact both NVIDIA and customer business.
What you will be doing:
- Product Definition and Architecture – Co-own NVIDIA’s strategy for Python, working very closely with other Technical Architects, Research, and Engineering Teams.
- Strategy – Influence and participate in active discussion with Executive-Staff and Senior VPs, paying the path for NVIDIA Python Story.
- Product Launches – Define the go-to-market strategy and contribute to the cross-functional implementation of the plan across Marketing, PR (Press Release), Sales, etc.
- Asset Creation – Work with marketing to define positioning that enables the creation of technical content, including blog posts, webinars, developer tutorials, and other product value proposition tools.
- Actively engage, contribute, and participate in Python ecosystem activities, to understand current gaps on the NVIDIA side and help fill those.
What We Need to See:
- Masters in computer science, Electrical Engineer, Applied Mathematics, or related engineering field (Ph.D. preferred) or equivalent experience
- Experience and familiarity with Python computing and AI (Artificial Intelligence) applications
- 5+ years’ experience developing/architecting software, libraries, and SDKs (software development kits)
- Additional 5+ years’ experience working as a Technical Product Manager in a Technology Company
- World-class communication skills with a proven ability to articulate a value proposition to technical and non-technical audiences.
Ways To Stand Out from the Crowd:
- Experience Developing/Architecting software
- Background with CUDA or GPU computing
- Defining product requirements for Data Science/Scientific Systems either in Cloud or HPC domain
Opportunities at NVIDIA
NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most dedicated people in the world working with us. If you are agile and autonomous, we want to hear from you. The base salary range is 156,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Equal Opportunity Employer
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.