ZipRecruiter

Log In

1

Manager Nvidia Autonomous Driving Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsManager Nvidia Autonomous Driving Jobs

Manager Nvidia Autonomous Driving information

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.
More about Manager Nvidia Autonomous Driving jobs
What cities are hiring for Manager Nvidia Autonomous Driving jobs? Cities with the most Manager Nvidia Autonomous Driving job openings:
What are the most commonly searched types of Nvidia Autonomous Driving jobs? The most popular types of Nvidia Autonomous Driving jobs are:
What states have the most Manager Nvidia Autonomous Driving jobs? States with the most job openings for Manager Nvidia Autonomous Driving jobs include:
What job categories do people searching Manager Nvidia Autonomous Driving jobs look for? The top searched job categories for Manager Nvidia Autonomous Driving jobs are:
Manager Nvidia Autonomous Driving jobs near you
Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving

Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving

Nvidia Corporation

Santa Clara, CA • On-site

$147K - $203K/yr

Full-time

Posted 12 days ago

Key responsibilities

  • Design and train large-scale models, including generative, imitation, and reinforcement learning, to enhance planning and reasoning in autonomous driving systems.

  • Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in autonomous driving and robotics applications.

  • Explore data generation and collection strategies to improve the diversity and quality of training datasets.

Job description

At NVIDIA, we are seeking exceptional engineers to join our autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass-production vehicles. Our strategy has evolved from AI 1.0 - building a driver from scratch - to AI 2.0 - teaching an intelligent agent to drive. This next phase leverages LLMs, VLMs, and VLAs to bring unprecedented reasoning, planning capabilities, and interactivity with the driving system to autonomous vehicles and general robotics. Let's build the future of autonomy-together!
What You'll Be Doing:
  • Design and train innovative large-scale models-including generative, imitation, and reinforcement learning-to improve the planning and reasoning capabilities of our driving systems.
  • Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in real-world autonomous driving and robotics applications.
  • Explore novel data generation and collection strategies to improve diversity and quality of training datasets.
  • Collaborate with cross-functional teams to deploy AI models in production environments, ensuring performance, safety, and reliability standards are met.
  • Integrate machine learning models directly with vehicle firmware to deliver production-quality, safety-critical software.

What We Need to See:
  • Hands-on experience building LLMs, VLMs, or VLAs from scratch or a proven track record as a top-tier coder passionate about autonomous systems.
  • Deep understanding of modern deep learning architectures and optimization techniques.
  • Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.
  • Strong programming skills in Python and proficiency with major deep learning frameworks.
  • Familiarity with C++ for model deployment and integration in safety-critical systems.
  • Master's degree (or equivalent experience) with 13+ years of work experience in AV or related field or PhD with 11 years of work experience in AV or related field.

Ways to Stand Out from the Crowd:
  • Experience with LLM/VLM/VLA systems deployable to autonomous vehicles or general robotics.
  • Publications, open-source contributions, or competition wins related to LLM/VLM/VLA systems.
  • Deep understanding of behavior and motion planning in real-world AV applications.
  • Experience building and training large-scale datasets and models.
  • Proven ability to optimize algorithms for real-time performance in resource-constrained environments and strong track record of taking projects from concept to production deployment.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 23, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
#deeplearning
Nvidia logo

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

View All Nvidia Jobs

Apply