At NVIDIA, we are shaping the future by building the most advanced AI factory from the ground up. You will work with groundbreaking technology to accelerate researchers, developers, and AI infrastructure providers around the world. Join our team known for its dedication to collaboration and outstanding performance!
What you’ll be doing:
- Take ownership of the Infrastructure Developer Tools product strategy, roadmap, and requirements for DSX/DGXC to enable the NCP, OEM, and ISV ecosystem to left-shift software development
- Tracking emerging trends in the AI Infrastructure space and assessing technical differentiators and ecosystem impact of new releases.
- Supporting product marketing in crafting software component-specific messaging and documentation, including blogs, whitepapers, case studies, and presentations, highlighting NVIDIA’s optimizations and software tools.
- Collaborating closely with internal engineering, infrastructure, and developer experience teams to enable best-in-class support to enable the NVIDIA ecosystem grow
- Facilitating feedback loops between our platform and model builders to continuously improve performance, usability, and compatibility.
- Work with executives to launch new products and support keynotes.
What we need to see:
- 15+ years of significant work experience in product management or technical partner management.
- BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA is a plus.
- Knowledge of cloud infrastructure, bare-metal, and networking. Lower level Hardware/Software knowledge is a plus
- Deep understanding and empathy for developer workflow and data center provisioning lifecycle
- Comfortable reviewing code used in presentations, demos, and articles.
- Experience creating marketing and social media.
- Excellent written and spoken communication skills, including Microsoft products and Markdown skills, with the ability to translate between partner requirements and internal priorities.
- You love to thrive in a cross-functional organization by collaborating with peers across teams and functions.
- Deep organizational skills, capable of balancing multiple projects at the same time.
Ways to stand out from the crowd:
- Product manager experience at a company training frontier AI models and building AI infrastructure where you were helping developers be successful
- Hardworking and highly motivated, with measurable results (metrics, awards, key accomplishments) you can share.
- A growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.
- Hands-on experience with demoing technical products at major developer events and with customers
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 240,000 USD – 379,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- 15+ years of significant experience in product management or technical partner management
- Bachelor's or master's degree, or equivalent experience, in engineering, computer science, or another technical field
- Knowledge of cloud infrastructure, bare-metal infrastructure, and networking
- Deep understanding of developer workflows and data center provisioning lifecycles
- Ability to review code used in presentations, demonstrations, and articles
- Experience creating marketing and social media content
- Excellent written and spoken communication skills
- Proficiency with Microsoft products and Markdown
- Ability to translate partner requirements into internal priorities
- Ability to collaborate effectively in a cross-functional organization
- Strong organizational skills and ability to balance multiple projects
- MBA
- Product management experience at a frontier AI model training or AI infrastructure company
- Portfolio demonstrating technical writing, social media, videos, or research papers
- Experience demonstrating technical products at major developer events and with customers
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
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.”
