Join NVIDIA as a Product Development Engineer, where you’ll be at the forefront of innovation! This is an outstanding opportunity to work on new product development in an environment that values technical excellence and leadership. Our work opens new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence PC to autonomous cars. NVIDIA is looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence. Make the choice to join our growing team today!
What you’ll be doing:
As part of an Operations Engineering team that plays a key role in developing new AI products, you will architect, design, and implement efficient manufacturing processes for our groundbreaking AI PC/ client/automotive/embedded board & system products.
Represent Ops Engineering during architecture and design product life cycle and provide manufacturing capability feedback to design teams.
Define product test requirements and support NPI bring up, validation, and characterization for smooth production ramp at worldwide manufacturing sites as you continuously find opportunities for potential process improvements and collaborate with multi-functional teams to implement.
What we need to see:
Bachelor’s degree in Electrical Engineering or equivalent experience
3+ years' experience in Board/System Product development Engineering
Ability to work in team environment
Able to travel to other countries for on-site factory product Builds supports (6 to 8 weeks per year)
Knowledge of hardware and software interaction (e.g., familiar with embedded low-level firmware and/or embedded operating systems and H/W).
Understanding of System on Chip (SoC), CPU, GPU, IO interfaces (e.g., USB, SPI, UART, Ethernet, display ports, etc.) and memory subsystem design.
Experience in design analysis, prototype bring-up and debugging, failure verification and manufacturing test support.
Experience in Manufacturing Test and validation planning and reporting.
Design of experiments creation, execution, and data analysis.
Possess excellent partnership and interpersonal skill
Ways to Stand Out from the Crowd:
Exhibit outstanding people collaboration skills.
An experienced engineer who can influence multi-functional teams on HW/SW development.
Previous PDE experience involved large complex board and system projects.
Familiarity with GPU, CPU, SOC product requirements and technologies.
Excellent communication and presentation abilities.
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 forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, with a genuine passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3.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
- Bachelor's degree in Electrical Engineering or equivalent experience
- 3+ years experience in Board/System Product Development Engineering
- Ability to work in a team environment
- Able to travel internationally for on-site factory product builds (6 to 8 weeks per year)
- Knowledge of hardware and software interaction (embedded low-level firmware and/or embedded operating systems)
- Understanding of SoC, CPU, GPU, IO interfaces (USB, SPI, UART, Ethernet, display ports) and memory subsystem design
- Experience in design analysis, prototype bring-up and debugging, failure verification and manufacturing test support
- Experience in manufacturing test and validation planning and reporting
- Design of experiments creation, execution, and data analysis
- Excellent partnership and interpersonal skills
- Outstanding people collaboration and ability to influence multi-functional HW/SW teams
- Previous PDE experience on large complex board and system projects
- Familiarity with GPU, CPU, SoC product requirements and technologies
- Excellent communication and presentation abilities
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.”
