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Senior Software Engineer - Autonomous Driving Simulation

NVIDIA, US, CA, Santa Clara

Posted pay

$152K–$288K

a year

Location: US, CA, Santa Clara
Work type: Not given
Level: Senior
Experience: 5+ years
Skills in the job text: Python
Docker
C++
PyTorch
Bash
C
Linux
Posted: 12 days ago
Last check: 27 h ago
Job type: Software engineering, ML / AI engineering

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NVIDIA

About NVIDIA: funding, hiring and pay

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The role

NVIDIA is seeking a highly motivated Software Engineer to join our Autonomous Vehicle (AV) Simulation team. In this role, you will help build and scale realistic virtual environments that accelerate the training, testing, and validation of NVIDIA’s autonomous driving software stack.

Our mission is to enable large-scale simulation and debugging of AV algorithms across millions of scenarios per day, spanning diverse traffic patterns, road conditions, weather environments, and edge cases. Achieving this requires deep performance optimization and systems-level analysis across the entire software stack — from AV algorithms and AI models to system software, infrastructure, and production-scale simulation workflows.

What you will do

Develop scalable simulation platforms and workflows for autonomous driving validation and training.
Work on Real2Sim and Sim2Real domain adaptation technologies to transform real-world driving incidents into diverse simulation scenarios — and bridge the gap between simulated and real-world behavior.
Contribute across a multidisciplinary stack involving: System software and distributed infrastructure, neural graphics & rendering, generative AI & synthetic data generation, computer vision & deep learning, and real-to-synthetic domain adaptation.
Optimize large-scale simulation workflows for performance, scalability, reliability, and production deployment.
Collaborate closely with researchers, infrastructure engineers, and product teams across NVIDIA.
Drive technology transfer into production products and contribute to open-source initiatives where applicable.

What you need

BS, MS, or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field (or equivalent experience).
5+ years of relevant autonomous vehicles industry experience.
Strong programming skills in Python, C/C++, PyTorch, and Linux/bash scripting.
Experience with modern software engineering and infrastructure tools such as Docker, Bazel, Jenkins, CI/CD pipelines, and distributed systems tooling.
Strong background in computer vision, deep learning, simulation systems, or related domains.
Excellent analytical and mathematical problem-solving skills.
Ability to independently drive complex projects from concept to production.
Strong communication, collaboration, and teamwork skills.
Experience in machine learning, large-scale systems, analytics, statistics, or applied mathematics.

Ways to stand out from the crowd

First-author publications at top-tier conferences such as NeurIPS, CVPR, ICCV, ECCV, or ICML.
Experience in autonomous driving, robotics simulation, neural rendering, synthetic data generation, or generative AI.
Proven research or engineering excellence through internships, open-source contributions, code competitions, or impactful production systems.
Experience optimizing high-performance or large-scale distributed workloads.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Legal notes

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.

Read the job posting on the NVIDIA site

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Source: the NVIDIA Workday careers site. We last checked this job 27 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now.

See total pay at Nvidia on Levels.fyiBase, stock and bonus, as employees report it.

NVIDIA

Open tech jobs: 1,424
With posted pay: 78%
Median posted base: $184K–$322K

About NVIDIA: funding, hiring and pay

Compared with similar jobs

This base pay is near the median for senior software engineering jobs in the Bay Area.

Median: $213K a year
Other jobs in the group: 1,600

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.