Senior System Software Engineer, Replay and Simulation

at Nvidia

📍 Santa Clara, United States

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI CUDA @ 3 GPU @ 3 Linux @ 4 Networking @ 4 Profiling Python @ 8 Robotics @ 4 Software Development @ 6

Details

Join NVIDIA's Solution Engineering team working to build and deploy scalable solutions for autonomous vehicles and create safer, more efficient roads. You will help shape application software architecture, work with external partners developing on NVIDIA's platform, collaborate with teams across NVIDIA, and advance the drivability of autonomous vehicle solutions through system integration and deep analysis.

Responsibilities

Design, build, and deploy replay- and simulation-focused tooling and frameworks for current and next-generation autonomous vehicle development and testing.
Engage with external customers to lead bring-up activities and provide domain expertise to resolve functional and simulation-related issues.
Collaborate with internal engineering and product teams across NVIDIA's United States, Asia-Pacific, and European locations.
Integrate hardware and software components efficiently and build scalable software solutions for partners.
Conduct profiling, benchmarking, and evaluation activities for verification.
Perform in-vehicle and simulation test drives, collect and deeply analyze recorded data, and use aggregated metrics for simulation-to-real comparative analysis.

Requirements

5+ years of related software development experience in autonomous driving and/or simulation technologies.
Bachelor's or master's degree in computer science, robotics, computer engineering, or equivalent experience.
Track record of providing robust and efficient solutions for autonomous driving in vehicles or simulation environments.
Experience with application development and familiarity with middleware frameworks.
Excellent C/C++ development skills and good knowledge of Python.
Knowledge of Linux, real-time operating systems, and container-based virtualization workflows.
Ability to adapt to new technologies and platforms, fast-paced development lifecycles, and multifunctional organizations.
Strong analytical skills, innovative problem-solving ability, and attention to detail.

Preferred Qualifications

Experience with automotive design processes and standards, including ISO 26262 and ASPICE.
Experience with in-vehicle testing, simulation, and metrics development for autonomous driving systems.
Expertise in developing simulation solutions and working with sensor modalities such as cameras, ultrasonics, and radar.
Understanding of the NVIDIA DRIVE platform or NVIDIA GPU hardware, and/or familiarity with CUDA.
Experience with in-vehicle networking technologies such as CAN, FlexRay, Ethernet, Some/IP, and AUTOSAR.
Exposure to automotive sensors, including cameras, radar, LiDAR, ultrasonic, GPS, and IMU.

Compensation and Benefits

The base salary is determined by location, experience, and the pay of employees in similar positions. The base salary range is USD 152,000–241,500 for Level 3 and USD 184,000–287,500 for Level 4. The role is also eligible for equity and benefits.

Applications will be accepted at least until October 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.