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 a phenomenal Ethernet HW Simulation developer for the ChipSim Group. You will join the ChipSim growing team and take our product to next level, working closely with HW design and architect teams and gaining a deep understanding of NVIDIA’s products and technologies.
What You’ll Be Doing:
You will be responsible for learning, developing, and delivering new Networking features in simulation.
Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex physical-layer behaviors in software.
Extend and optimize the simulation infrastructure by contributing to CI pipelines, automated test frameworks, and regression tools.
Support internal users by debugging simulation flows and collaborating on bug resolution.
Take part in future-facing innovation by enabling simulation for next-generation devices and features.
What We Need To See:
Bachelor's Degree or equivalent experience in Computer Science / Software Engineering / Computer Engineering / Electrical Engineering / Communication Engineering.
2+ years of experience in Python programming, with strong object-oriented design skills.
Experience with C and/or C++, especially in systems or performance-sensitive environments.
Experience debugging using debuggers (gdb), including concurrency issues (races, deadlocks...).
Solid understanding of Linux, containerized environments (e.g., Docker), and command-line tools.
Ability to communicate complex technical ideas in simple terms.
Well-organized, proactive and capable of leading your own tasks.
Collaborative personality with a love for teamwork.
Experience building complex simulation or emulation systems, especially those simulating hardware behaviors.
Background with multi-platform systems spanning HW, FW, and SW.
Experience with low-level networking protocols and applications.
Knowledge of physical layer concepts.
Experience contributing to CI/CD systems and tooling (e.g., Git, Jenkins, Gerrit).
Skills Required
- Bachelor's Degree or equivalent experience in Computer Science / Software Engineering / Computer Engineering / Electrical Engineering / Communication Engineering.
- 2+ years of experience in Python programming, with strong object-oriented design skills.
- Experience with C and/or C++, especially in systems or performance-sensitive environments.
- Experience debugging using debuggers (gdb), including concurrency issues (races, deadlocks...).
- Solid understanding of Linux, containerized environments (e.g., Docker), and command-line tools.
- Ability to communicate complex technical ideas in simple terms.
- Well-organized, proactive and capable of leading your own tasks.
- Collaborative personality with a love for teamwork.
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.”
