Senior Software Engineer, Autonomous Driving Simulation

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k

This role $197k

$121k $254k

below market most similar roles pay here above market

This role pays more than 67% of similar roles. Most pay $149,500–$215,237 — the blue band above. At the midpoint, this role pays about $197k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Autonomous Driving Simulation

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The Senior Software Engineer - Autonomous Driving Simulation joins the Autonomous Vehicle Simulation team to build and scale realistic virtual environments for training and validating autonomous driving software. You will develop scalable simulation platforms and workflows, specifically working on Real2Sim and Sim2Real domain adaptation technologies to transform real-world incidents into diverse simulation scenarios. Your daily work involves optimizing large-scale workflows for performance and reliability across a multidisciplinary stack including system software, distributed infrastructure, neural graphics, generative AI, synthetic data generation, and computer vision. You will utilize Python, C/C++, PyTorch, Linux/bash scripting, Docker, Bazel, Jenkins, and CI/CD pipelines. This role solves the technical challenge of enabling large-scale simulation and debugging of AV algorithms across millions of scenarios involving diverse traffic patterns, road conditions, and weather environments.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

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Skills

Python C/C++ PyTorch Linux Bash Docker Bazel Jenkins CI/CD Distributed Systems Computer Vision Deep Learning Generative AI Neural Rendering Synthetic Data Generation Sim2Real Real2Sim

What you'll do

Develop scalable simulation platforms and workflows for autonomous driving validation and training.
Implement Real2Sim and Sim2Real technologies to transform real-world incidents into simulation scenarios.
Build and optimize distributed infrastructure and system software for large-scale simulation.
Develop neural graphics, rendering, and generative AI for synthetic data generation.
Optimize simulation workflows for performance, scalability, and production deployment.
Drive technology transfer from research and development into production products.
Contribute to open-source initiatives and multidisciplinary software projects.

What we're looking for

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.
Experience in machine learning, large-scale systems, analytics, statistics, or applied mathematics.
First-author publications at top-tier conferences such as NeurIPS, CVPR, ICCV, ECCV, or ICML (preferred).

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