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# Senior System Software Engineer - Simulation Software

- **Company:** NVIDIA Ltd.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, C++ (Programming Language), Computer Engineering, Computer Graphics, System Configuration, Software Debugging, Linux, Programming Tools, Emulators, Firmware, Field-Programmable Gate Array (FPGA), Python (Programming Language), Log Analysis, Shell Script, Simulation Software, Software Engineering, SystemC, System Programming, System Software, Graphics Processing Unit (GPU), Information Technology
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-system-software-engineer-simulation-software-austin-tx--72be8e2f-d008-4d6b-966b-251edd71f707

## About the Role

Software Engineering, Systems Engineering, Software Simulation, Autonomous Driving Systems, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Software Engineering, Software Development, Simulation, Systems Engineering, * BS, MS, or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field

 * 5+ years of relevant software development experience.
 * Strong C/C++ and Python programming skills
 * Hands-on experience with SystemC, VDK, or similar simulation platforms
 * Experience with system software bring-up, platform validation, low-level software development, or infrastructure-facing systems engineering
 * Strong Linux fundamentals, including shell scripting, process/debug tools, and development workflows
 * Strong debugging and problem-solving skills across software stacks, tools, platform behavior, and system interactions
 * Experience building developer tools, automation, test infrastructure, triage workflows, or tooling focused on improving efficiency
 * Ability to work across teams and drive technical execution in ambiguous early-development environments

Ways to stand out from the crowd:

 * Experience with pre-silicon development, primarily Simulation. Emulation, FPGA, virtual platforms would be a plus.
 * Background with boot flows, drivers, firmware interactions, kernel or platform software, or hardware-software interfaces
 * Familiarity with log analysis, failure triage, regression infrastructure, and validation workflows at scale
 * Experience enabling other engineering teams through shared tooling, workflows, and technical guidance
 * Experience in silicon bring-up, early platform enablement, or transition from pre-silicon to silicon validation

## Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Join the Simulation Software team at NVIDIA as a Senior System Software Engineer! This role offers an outstanding opportunity to work on breakthrough technology that drives everything from self-driving cars to advanced AI solutions. Our Mission is to accelerate early System Software development by enabling Chips Simulation as a trusted and reliable virtual platform.

What you will be doing:

 * Drive early software bring-up on simulation platforms for new chip and platform programs
 * Verify platform readiness and validate software functionality in pre-silicon development environments
 * Develop scripts, tools, and automation that improve productivity, reliability, and scale for simulation-based software development
 * Enable module teams to use simulation platforms effectively for development, debugging, and validation
 * Debug complex issues spanning software, platform configuration, infrastructure, and simulation environment interactions
 * Improve developer experience for teams using simulation infrastructure through better workflows, diagnostics, and tooling