NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people!
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
What you'll be doing:
NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets.
Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference
Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals
Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning
Work with our sales organization to develop effective sales collateral and tools
What we need to see:
7+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued
BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.
Demonstrated ability to fully contribute in one or more of the areas above within 3 months
Knowledge of, and capable of explaining GPU, software and computing architectures
Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Ability to work closely with cloud partners
Ways to stand out from the crowd:
Strong background in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference
Direct experience in building or leading cloud computing infrastructure and technologies
Exposure to bringing accelerated computing systems to market
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.
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
- 7+ years of total experience in technology
- Previous product management, AI-related engineering, design, or development experience
- BS, MS, or equivalent experience in engineering, computer science, or another technical field
- Ability to fully contribute in one or more relevant areas within three months
- Knowledge of GPU, software, and computing architectures, with the ability to explain them
- Strong desire to learn and motivation to tackle complex problems
- Ability to make sophisticated trade-offs
- Ability to work closely with cloud partners
- Experience developing or deploying large-scale GPU-based AI applications, such as large language models, for training and inference
- Direct experience building or leading cloud computing infrastructure and technologies
- Experience bringing accelerated computing systems to market
- MBA
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 — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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.”
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