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What is the difference between Manager Nvidia Autonomous Driving vs Software Engineer Nvidia Autonomous Driving?

AspectManager Nvidia Autonomous DrivingSoftware Engineer Nvidia Autonomous Driving
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Computer Science or related field
Work EnvironmentTeam leadership, project management, cross-functional collaborationSoftware development, coding, testing, debugging
Employer & Industry UsageAutomotive tech companies, Nvidia, autonomous vehicle industryTech companies, Nvidia, autonomous vehicle projects

The main difference is that the Manager Nvidia Autonomous Driving oversees teams and projects related to autonomous vehicle technology, focusing on leadership and coordination. In contrast, the Software Engineer Nvidia Autonomous Driving is primarily involved in coding and developing the software components. Both roles require technical expertise, but the manager role emphasizes project management and team oversight.

Who is the director of NVIDIA autonomous driving?

The director of NVIDIA autonomous driving is a senior executive responsible for overseeing the development and deployment of autonomous vehicle technologies. This role typically involves leading engineering teams, coordinating research efforts, and ensuring the integration of AI and sensor systems within NVIDIA's autonomous driving platform.

Is it difficult to get hired at NVIDIA?

Getting hired as a Manager in Nvidia Autonomous Driving can be competitive due to the company's high standards for technical expertise, leadership skills, and relevant experience in autonomous systems and AI. Candidates typically need a strong background in engineering, computer science, or related fields, along with proven project management abilities. The hiring process often involves multiple interviews and assessments to evaluate technical knowledge and cultural fit.

How much do NVIDIA managers make?

NVIDIA managers typically earn between $120,000 and $200,000 annually, depending on experience, location, and specific managerial level. Compensation may also include bonuses, stock options, and other benefits, especially for senior roles overseeing autonomous driving projects or teams with specialized skills in AI and automotive technology.

How much do NVIDIA autonomous vehicle operators make?

NVIDIA autonomous vehicle operators typically earn between $50,000 and $80,000 annually, depending on experience, location, and specific responsibilities. The role often requires familiarity with autonomous driving systems, safety protocols, and operating testing vehicles in controlled environments.
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Senior Software Engineer - Autonomous Driving Simulation

Senior Software Engineer - Autonomous Driving Simulation

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Posted 17 days ago

Key responsibilities

  • 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.

  • Optimize large-scale simulation workflows for performance, scalability, reliability, and production deployment.

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.

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'll be doing:

  • 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 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.

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.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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