NVIDIASenior System Software Engineer, Replay and Simulation
NVIDIA is hiring a Senior System Software Engineer, Replay and Simulation in Santa Clara, United States. It pays $152k-$242k a year and Level rates it ; you can apply on Level.
AI in this role
Design and build simulation and replay tooling for autonomous vehicle development at NVIDIA.
Join NVIDIA's Solution Engineering team that is changing the future of driving. Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. You will help craft the application software architecture by working closely with external partners developing on our platform and collaborate across multiple teams within NVIDIA working on autonomous vehicles. You will also advance and refine the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to tease through the complexity of the system to find effective solutions.
NVIDIA is widely considered to be one of the technology world’s most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you!
What you'll be doing:
- Design, build, and deploy replay and simulation focused tooling and frameworks for current and next generation autonomous vehicle development and testing.
- Closely engage with external customers to lead bring-up activities and provide domain expertise to resolve functional and simulation related issues by collaborating with internal engineering and product teams across our US, APAC, and Europe locations.
- Integrate hardware and software components efficiently and build scalable software solutions for our partners. Conduct profiling, benchmarking and evaluation activities for verification.
- Perform in-vehicle and simulation test drives, collect and perform deep analysis on the recorded data, and use aggregated metrics for simulation-to-real comparative analysis.
- Directly impact the future of self-driving car technology!
What we need to see:
- 5+ years of work related experience in software development related to autonomous driving and/or simulation technologies and Bachelors or Masters in computer science, robotics, computer engineering, or equivalent experience.
- Track record providing robust and efficient solutions for autonomous driving (in car or simulation).
- Prior experience in application development and familiarity with middleware frameworks.
- Excellent C/C++ development skills with good knowledge of Python.
- Knowledgeable with various OS environments such as Linux and real-time operating systems and container-based virtualization workflows.
- Ease of adapting to new technologies and platforms.
- Ability to adapt to fast paced development lifecycles and multi-functional organizations.
- Strong analytical skills, seek innovative solutions, with good attention to details.
Ways to stand out from the crowd:
- Experience with automotive design processes and norms (e.g. ISO 26262, ASPICE), including in-vehicle testing, simulation and metrics development of autonomous driving systems.
- Proven expertise in developing simulation solutions and experience on diverse sensor modalities such as cameras, ultrasonics, and radar.
- Understanding of NVIDIA DRIVE platform or NVIDIA GPU hardware, and/or familiarity with CUDA
- In-vehicle networking: CAN, Flexray, Ethernet, Some/IP, AUTOSAR
- Prior exposure to automotive or related sensors (camera, radar, LIDAR, ultrasonic, GPS, IMU)
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 12, 2026.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.How we rate this
Senior System Software Engineer, Replay and Simulation at NVIDIA rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where autonomous vehicles was part of your work. What did you do?
- Tell me about a project where simulation was part of your work. What did you do?
- Tell me about a project where robotics was part of your work. What did you do?
- Tell me about a project where software architecture was part of your work. What did you do?
- Walk me through how you've used C in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Autonomous Vehicles, Simulation, Robotics, Software Architecture, and C. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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