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Sim Racing Jobs in California (NOW HIRING)

Kaiser Permanente

Radiation Therapist

Anaheim, CA · On-site

Operates all CT/SIM and treatment equipment including linear accelerators and high dose rate after ... All qualified applicants will receive consideration for employment without regard to race, color ...

Kaiser Permanente

Radiation Therapist

Santa Clara, CA · On-site

Operates all CT/SIM and treatment equipment including linear accelerators and high dose rate after ... All qualified applicants will receive consideration for employment without regard to race, color ...

Kaiser Permanente

Radiation Therapist

Oakland, CA · On-site

Operates all CT/SIM and treatment equipment including linear accelerators and high dose rate after ... All qualified applicants will receive consideration for employment without regard to race, color ...

Meta

AI Research Scientist, Robotics

Burlingame, CA

$154K/yr

... sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation ... We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy ...

Reflect Orbital

GNC Engineer

Hawthorne, CA · On-site

$130K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience bringing up sim environments from scratch, opinionated/familiar with best practices ... in any manner by race, color, religion, gender, national origin/ethnicity, veteran status ...

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Sim Racing information

What is a sim racing?

A Sim Racing job involves working in the competitive or professional side of simulated motorsports, which can include roles such as esports driver, coach, content creator, engineer, or software developer. Sim racers may compete in online leagues, represent teams or brands, and even collaborate with real-world racing teams for driver training. Other roles involve setting up simulator hardware, developing racing software, or broadcasting and analyzing esports events.

What are the key skills and qualifications needed to thrive in sim racing?

To excel in Sim Racing, strong hand-eye coordination, quick reflexes, and a deep understanding of racing lines and vehicle dynamics are essential, often developed through extensive practice and participation in competitive leagues. Familiarity with industry-standard racing simulators, high-end sim rig setups, and telemetry analysis software is highly valued. Effective communication, discipline, and adaptability set top performers apart, especially in team-based or league settings. These competencies are crucial for consistent performance, progressing in competitions, and collaborating with teams or sponsors.

What does a typical workweek look like for someone in sim racing?

A typical workweek for a Sim Racing professional usually involves a mix of solo practice, team strategy sessions, race events, and content creation or community engagement. Time is spent honing driving skills, analyzing data to fine-tune performance, and coordinating with engineers or teammates for upcoming races. Professionals often participate in both live-streamed events and offline leagues, requiring flexibility to accommodate irregular race schedules. Collaboration and communication with coaches, sponsors, and other racers also play key roles in a successful and dynamic workweek.

What are the most commonly searched types of Sim Racing jobs in California?

The most popular types of Sim Racing jobs in California are:

What job categories do people searching Sim Racing jobs in California look for?

The top searched job categories for Sim Racing jobs in California are:

What cities in California are hiring for Sim Racing jobs?

Cities in California with the most Sim Racing job openings:

Sim Racing jobs near you
Infographic showing various Sim Racing job openings in California as of August 2026, with employment types broken down into 3% Internship, 91% Full Time, 3% Temporary, and 3% Contract. Highlights an 97% In-person, and 3% Remote job distribution.

Senior Software Engineer, Spatial Intelligence and Foundation Models

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 2 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA is seeking a Software Engineer to join our Isaac Spatial Intelligence team within the Isaac Engineering org! You will join a group of world-class robotics software and applied research engineers focused on geometric and semantic understanding, and reasoning for robots - building the perception systems that turn raw sensor data into actionable world understanding, shaping the future of physical AI!
What you'll be doing:
  • Design, implement, and deploy novel algorithms for spatial understanding, working on problems ranging from SLAM, structure-from-motion, optical flow, scene flow, and object reconstruction to training VLMs on a wide range of spatial reasoning skills.
  • Develop robust perception, mapping, and reasoning systems that run on robots, in simulation, and at scale in data pipelines for training foundation models.
  • Advance the state of the art in geometric computer vision, combining classical multi-view geometry and optimization with modern deep learning approaches.
  • Train and evaluate vision-language models on skills relevant to robotics.
  • Work closely with the Cosmos and GR00T teams on perception and spatial understanding for foundation models and collaborate with other Isaac teams including Sim/Lab, Platform and SQA to deploy, validate, extend and release capabilities & features on physical robots as well as in at-scale simulations.
  • Contribute to the effective integration, validation, and release of applied research efforts in collaboration with research teams and on top of NVIDIA's advanced robotics platforms.
  • Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications.
  • Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products.

What we need to see:
  • PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
  • 8+ years of experience working on computer vision, robotics, or deep learning technologies.
  • Strong foundation in 3D geometric computer vision: multi-view geometry, visual odometry/SLAM, structure-from-motion, or dense correspondence (optical flow, scene flow, stereo).
  • Strong hands-on programming skills in Python and/or C++; experience with Deep Learning frameworks (PyTorch, JAX, TensorFlow).
  • Experience training and evaluating deep learning models for perception tasks; familiarity with vision-language models is a strong plus.
  • Strong skills in agentic tool use - proficiency working with AI coding agents and agentic workflows (e.g., Claude Code, Cursor, Codex) to accelerate development, testing, and experimentation.
  • Excellent communication, organizational, and interpersonal skills.

Ways to stand out from the crowd:
  • Contributions to widely used SLAM, SfM, or 3D reconstruction systems (open source or shipped products).
  • Experience with large-scale model training on GPU clusters, including VLMs or other foundation models.
  • Publications at top computer vision or robotics venues (CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL).
  • Hands-on experience with simulation-based training and evaluation, sim-to-real and real-to-sim transfer.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 20, 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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