NVIDIA is looking for a phenomenal engineer to join the chip simulation team for networking chips and GPUs. This simulation platform enables NVIDIA engineers across firmware, SDK, and OS domains to develop and test their code without relying on physical hardware. If you're a creative, self-driven engineer passionate about systems-level design and eager to build technology that empowers internal teams, we want to hear from you.
What You’ll Be Doing:
Develop and maintain simulation infrastructure components for different simulation teams (GPUs, switches, NVLink, Ethernet, PHY) of NVIDIA’s high-performance networking chips.
Define, implement, and validate simulations of core infra features, improve performance, maintain multi processes and multi-threaded IPC mechanisms (sockets, queues etc.), define architecture and the building blocks of the simulation.
Own, extend and optimize all the CI/CD of the simulation team, starting from servers’ installation to adding and maintaining various Jenkins jobs that help developer and improve their life.
Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex behaviour in software.
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.
5+ years of experience in Python, C/C++ programming, with strong object-oriented design skills and performance-sensitive environments.
Experience debugging using debuggers (gdb), including concurrency issues (races, deadlocks...).
Strong background with Linux systems, CI/CD pipelines – and automation frameworks (e.g., Jenkins, Git, Docker, Pytest).
Familiarity with Inter-Process Communication (IPC) mechanisms (sockets, message queues, shared memory...).
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.
Ways to Stand Out from the Crowd:
One man show, Swiss knife - you have experience in many areas, you have been through multiple head scratching bugs and rewritten same system multiple times learning from each iteration.
Experience building complex simulation or emulation systems, especially those simulating hardware behavior.
Background with multi-platform systems spanning HW, FW, and SW.
Experience with low-level networking protocols and applications.
A passion for building internal tools that prioritize authenticity, stability, and usability.
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.
#LI-Hybrid
Skills Required
- Bachelor's Degree or equivalent in Computer Science / Software Engineering / Computer Engineering / Electrical Engineering / Communication Engineering
- 5+ years of experience in Python, C/C++ programming
- Experience debugging using debuggers (gdb)
- Strong background with Linux systems
- Experience with CI/CD pipelines and automation frameworks
- Familiarity with Inter-Process Communication (IPC) mechanisms
- Ability to communicate complex technical ideas
- Well-organized and proactive
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.”
