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 in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
NVIDIA is looking for an exceptional Hardware Simulation Engineer for the ChipSim team. You'll build software systems that validate our next-generation datacenter GPUs before they exist in silicon - enabling firmware, driver, and architecture teams to develop in parallel with chip fabrication. Working closely with hardware architects and cross-functional teams, you'll create simulation platforms for networking features like NVLink and InfiniBand that power the world's largest AI supercomputers.
What You'll Be Doing:
Develop and maintain simulation models for next-generation NVIDIA networking hardware features
Build validation frameworks and test suites for InfiniBand and NVLink protocol implementations
Create automation tools and CI/CD pipelines for regression testing and result analysis
Design developer-friendly simulation environments that enable rapid iteration and debugging
Collaborate with hardware, firmware, and software teams to ensure accurate chip behavior modeling
What We Need To See:
Bachelor's Degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field
5+ years of experience with Python and C in systems programming or infrastructure contexts
Strong debugging skills across multiple system layers and processes
Knowledge of Linux systems programming
Creative, motivated, and collaborative team player
Ways to stand out from the crowd:
Experience with networking protocols (InfiniBand, RDMA, NVLink, Ethernet) or distributed systems
Background in hardware/firmware environments or hardware-software co-development
Familiarity with simulation, emulation, or virtualization platforms
Experience with CI methodology & tools (Git, Gerrit, Jenkins, pytest)
Systems-level performance optimization experience
NVIDIA is committed to fostering a diverse work environment and is 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, disability status or any other characteristic protected by law.
Skills Required
- Bachelor's Degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field
- 5+ years of experience with Python and C
- Strong debugging skills across multiple system layers and processes
- Knowledge of Linux systems programming
- Creative, motivated, and collaborative team player
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.”
