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High Performance Driving Jobs in California (NOW HIRING)

Nvidia

High Performance AI Engineer

Santa Clara, CA · On-site

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are looking for outstanding High Performance AI Engineer to build groundbreaking multi-agent ...

Transdev

Manual Driving Instructor

San Francisco, CA · On-site

$33 - $38/hr

High School Diploma or GED required * Previous defensive driving instructor experience; i.e. driving school, DMV road testing, and or high-performance driving background preferred * Minimum 6 months ...

Transdev

Manual Driving Instructor

San Francisco, CA

$33 - $38/hr

High School Diploma or GED required * Previous defensive driving instructor experience; i.e. driving school, DMV road testing, and or high-performance driving background preferred * Minimum 6 months ...

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High Performance Driving information

See California salary details

$10.9K

$73.6K

$80.4K

How much do high performance driving jobs pay per year?

As of Jul 26, 2026, the average yearly pay for high performance driving in California is $73,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $79,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a High Performance Driving Instructor, and why are they important?

To thrive as a High Performance Driving Instructor, you need advanced driving skills, thorough knowledge of vehicle dynamics, and experience in motorsports or performance driving events, often supported by relevant certifications from organizations like SCCA or NASA. Familiarity with data logging systems, in-car communication tools, and track safety protocols is essential. Strong communication, patience, and situational awareness enable instructors to effectively teach and ensure student safety on the track. These skills are critical for delivering high-quality instruction, maximizing learning, and maintaining safety in high-speed environments.

What is high performance driving?

High performance driving refers to the skillful operation of a vehicle at or near its limits of speed, handling, and braking, typically in a controlled environment such as a racetrack. It involves understanding vehicle dynamics, advanced driving techniques, and safety protocols to maximize both speed and control. Many enthusiasts participate in high performance driving events (HPDEs) to improve their skills, often under the supervision of instructors. Unlike racing, the focus is on driver improvement rather than competition, making it accessible to a wide range of skill levels. Safety is a top priority, with strict rules and guidelines to ensure a secure learning experience.

What are some common challenges faced by High Performance Driving Instructors, and how can they be overcome?

High Performance Driving Instructors often encounter challenges such as adapting teaching methods for students with varying skill levels, maintaining safety in a fast-paced environment, and effectively communicating technical feedback under pressure. Overcoming these challenges requires strong observation skills, patience, and the ability to tailor instruction to individual needs. Regularly updating technical knowledge and participating in instructor development programs can also help instructors stay current with best practices and safety protocols.

What is the difference between High Performance Driving vs Race Car Driver?

AspectHigh Performance DrivingRace Car Driver
Required CredentialsDriving certifications, safety trainingDriving licenses, racing licenses, specialized training
Work EnvironmentTrack days, driver training, automotive eventsRace tracks, competitions, professional racing circuits
Employer & IndustryDriving schools, automotive events, corporate trainingRacing teams, motorsport organizations, sponsors

High Performance Driving focuses on advanced driving skills for safety and vehicle control, often in training or recreational settings. Race Car Drivers compete professionally in races, requiring specialized racing licenses and intense training. While both roles involve high-speed driving, High Performance Driving emphasizes skill development and safety, whereas Race Car Drivers compete in high-stakes races.

What are popular job titles related to High Performance Driving jobs in California? For High Performance Driving jobs in California, the most frequently searched job titles are:
What job categories do people searching High Performance Driving jobs in California look for? The top searched job categories for High Performance Driving jobs in California are:
What cities in California are hiring for High Performance Driving jobs? Cities in California with the most High Performance Driving job openings:
High Performance Driving jobs near you
Infographic showing various High Performance Driving job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $73,613 per year, or $35.4 per hour.
High Performance AI Engineer

High Performance AI Engineer

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 12 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 245 rated software companies

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for outstanding High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative agentic runtimes and compiler-integrated orchestration that work together with NVIDIA's software stack to provide comprehensive acceleration for modern agent workloads powered by foundational models. As a member of the team, you will develop new agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven system solutions to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads. You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products.

What you'll be doing:

  • Design, build and optimize agentic AI systems for the CUDA ecosystem.

  • Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available.

  • Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity.

  • Collaborate across the AI stack-from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving-and with model/agent teams.

What we need to see:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.

  • 3 years+ industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.

  • Strong C/C++ and Python programming skills; solid software engineering fundamentals.

  • Experience with GPU programming and performance optimization (CUDA or equivalent).

Ways To Stand Out From The Crowd:

  • Strong experience in building/evaluating deep learning models, coding agents and developer tooling.

  • Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms.

  • Demonstrated ability in GPU performance optimizations, evidenced by benchmark wins or published results.

  • Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 17, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

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