Join the team developing the simulation foundation used by GPU architects and engineers to build, debug, and validate functional models for next-generation chip architectures. This is a hands-on technical leadership role combining modern C++ development, SystemC/TLM expertise, computer architecture, and close collaboration with modeling teams.
As GPU systems grow in scale and complexity, you will help evolve the simulation environment for multi-die architectures and distributed execution. Your work will improve modeling productivity and make simulations faster, easier to debug, and more capable.
What you’ll be doing:
- Design and implement simulation infrastructure using C++, SystemC, and Transaction Level Modeling.
- Develop solutions for scheduling, concurrency, communication, and synchronization across simulation processes and kernels.
- Partner with GPU architects and modeling teams to enable new features, investigate complex behavior, and improve model performance and reliability.
- Provide technical direction through thoughtful APIs, design reviews, documentation, development tools, and reusable modeling practices.
What we need to see:
- A bachelor’s degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field, with 12+ years of relevant experience.
- Extensive hands-on experience with C++ and SystemC/TLM, including the design and debugging of large simulation or modeling systems.
- Knowledge of computer architecture, data structures, algorithms, the C++ standard library, and software design for performance and scalability.
- Experience collaborating constructively across architecture and engineering teams, communicating technical decisions clearly, and supporting colleagues in different locations and time zones.
Ways to stand out from the crowd:
- Experience with parallel or distributed simulation, multiprocess architectures, discrete-event systems, or synchronization between independent simulation kernels will be especially valuable.
- Developing models for major chip programs, building SoC virtual platforms, working with EDA simulation tools, or contributing to large C++ infrastructure projects.
- Familiarity with Boost, CMake, Make, GCC, MSVC, Python, Docker, Jenkins, or Perl is helpful. We welcome candidates whose experience comes from adjacent simulation technologies and who have a demonstrated ability to learn complex systems and apply that knowledge collaboratively.
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
- 12+ years of experience in the field
- Bachelor's Degree in Computer Science, Electrical Engineering or related field
- Strong programming skills in C++ and C
- Experience in modeling using SystemC & Transaction Level Modelling (TLM)
- Familiarity with Docker, Jenkins, Python, and Perl
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.”
