NVIDIA Corporation

Senior Software Engineer - Autonomous Driving Simulation

NVIDIA Corporation$152K — $287K *
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in Computer Science, Electrical Engineering, AI, or related field.
  • 5+ years of relevant experience in the autonomous vehicles industry.
  • Strong programming abilities in Python, C/C++, PyTorch, and Linux/bash scripting.
  • Familiarity with software engineering and infrastructure tools like Docker, Bazel, Jenkins, and CI/CD pipelines.
  • Good foundation in computer vision, deep learning, or simulation systems.
  • Excellent analytical and mathematical problem-solving skills.
  • Proven capability to drive complex projects from concept to production.

Responsibilities

  • Develop scalable simulation platforms for autonomous driving validation and training.
  • Work on domain adaptation technologies for simulating real-world driving incidents.
  • Contribute to a multidisciplinary stack involving system software and generative AI.
  • Optimize large-scale simulation workflows for various performance metrics.
  • Collaborate with researchers and product teams across NVIDIA.
  • Facilitate technology transfer into production products and support open-source initiatives.

Benefits

  • Equity participation in the company.
  • Opportunity to work on cutting-edge AI and autonomous vehicle technology.
  • Collaboration with experts across multidisciplinary teams.
  • Support for professional growth through open-source contributions.
  • Access to a dynamic and innovative work environment.
Full Job Description
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.

What you'll be doing:
  • Develop scalable simulation platforms and workflows for autonomous driving validation and training.
  • Work onReal2Sim and Sim2Realdomain 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 we need to see:
  • 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 the pay of employees in similar positions. The base salary range is 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 June 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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