NVIDIA has been transforming 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. We are looking for a highly capable individual with a proven track record in technology, an interest in product definition, and the ability to get things done. Are you ready to do your best work? Then come join the team and see how you can make a lasting impact on the world!
What you'll be doing:
Develop a deep understanding of requirements for datacenter products, closely working with customers, industry specialists, and various teams in NVIDIA
Work with engineering teams to compose, evaluate, and review the customer product presentations, whitepapers, and other technical collateral
Engage directly with our largest customers to capture feedback and requests, develop effective sales collateral and tools to scale the impact our products make
Develop written product requirements which would include platform and device telemetry, software lifecycle management, and serviceability metrics
Work with internal teams as well as our partners to ensure availability of key IP, tools, and software for product success
Lead technical direction and roadmap for GPU and CPU product line, impacting NVIDIA's growth.
What we need to see:
8+ years of total experience in technology with design management, engineering, or design experience highly valued
BS or MS in engineering, computer science, or another technical field, or equivalent experience. MBA a plus.
Proven ability to fully contribute in one or more of the areas above within 3 months
Direct technical knowledge of processor, software and server architectures
Understanding SoC hardware design and typical interfaces
Strong desire to learn, strong problem solving, and a developed ability to make sophisticated trade-offs
Ways to stand out from the crowd:
Examples of customer facing technical whitepapers, presentations, and similar.
In-depth knowledge of server platform design, microprocessor design, and SoC firmware.
Direct experience running GPU datacenter server programs a plus
Recent experience in key data center technologies such as, server architectures, software containers, job schedulers and parallel computing. Deployment and operation of systems at large scale; resilient system design; and clustering compute resources along with networking infrastructure.
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 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.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.”
