Senior GPU Architect, Simulation SystemC, TLM

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.

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