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're looking for a versatile and motivated Customer Engineering Engineer to join our team. In this hands-on role, you'll enable successful platform integration by working directly with OEM/ODM partners and internal engineering teams. You’ll lead system-level debug across firmware, drivers, and hardware, ensure platform stability through validation, and drive resolution of customer issues. This role is ideal for a problem-solver who thrives in cross-functional environments and is passionate about delivering high-quality platforms through disciplined execution.
What you'll be doing:
Act as the primary technical interface to OEM/ODM customers, leading resolution of platform issues across functional quality, stability, power, and performance.
Coordinate with internal software, firmware, and hardware teams to ensure timely delivery of features and closure of milestone-blocking bugs.
Represent customer-reported issues and debug findings in internal forums, and collaborate with ecosystem partners to drive closure.
Plan and initiate support for new hardware versions by mobilizing virtual cross-functional teams across engineering disciplines.
Track and communicate platform health, milestone trends, risks, and mitigation plans to internal and external stakeholders.
Summarize and share project status to align internal teams on current progress, upcoming goals, and challenges.
What we need to see:
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field (or equivalent experience) with 10+ overall years of experience.
8+ years of experience enabling ARM/x86-based PC platforms, with hands-on work on OEM/ODM hardware and close customer engagement.
Strong technical background across SoC and platform IP domains, with proven experience in hardware/software integration and platform debug.
Demonstrated ability to lead internal teams and partners in a highly matrixed environment, driving execution and fostering a One Team culture.
Familiarity with full customer platform rollout cycles—from design and bring-up to mass production and post-launch support.
Highly disciplined, self-driven, able to manage ambiguity, multitask, and influence execution across functions.
Ways to stand out in the crowd:
Strong understanding of customer design and SW integration workflows, test strategies, and automation frameworks.
Hands-on experience in debugging customer’s HW/SW issues, leading debug task forces for complex bugs.
Outside in view of quality from an OEM and end user perspective, proficiency in driving quality improvement to improve overall user experience.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. NVIDIA is also an equal opportunity employer. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.
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.”
