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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 are popular job titles related to Sim Racing jobs in California?

For Sim Racing jobs in California, the most frequently searched job titles 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 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution.

Senior Manager, Robotics Quality Assurance

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We are looking for a Senior Manager, Robotics Quality Assurance to join our SW QA team! You will part of a team that drives all Quality and Innovation for the Nvidia Robotics team! You'll create engineering processes and build relationship bridges to ensure that the highest industry standards are met.
What you'll be doing:
  • Define and drive the overall test engineering strategy for our robotics products, establishing an engineering-focused approach to quality encompassing design for scalable test frameworks, tools, and methodologies and lead product testing and engineering efforts across a full-stack robotics solution
  • Deliver test automation development for "On-Robot Hardware & Software" and embedded software running on our NVIDIA Jetson AGX Thor platform encompassing sensor integration validation, real-time performance, and low-level control systems.
  • Architect and implement rigorous test plans to validate "AI Foundation models", like Isaac GR00T, focused on performance, safety, and reliability in real-world scenarios. This involves testing model outputs, identifying edge cases, and ensuring robustness.
  • Build and maintain the test infrastructure within our "Simulation & Digital Twins" environments, Isaac Sim and Isaac Lab, developing automated tests verifying physics engine accuracy and the transferability of learned policies from simulation to the real robot.
  • Oversee test automation development for the full "Robotics Software Stack", including Isaac ROS, and its integration with other robotic components.
  • Architect, build, and maintain the test infrastructure for a humanoid reference platform showcasing the power of NVIDIA's technology and develop testing methodologies bridging the "sim-to-real" gap, creating a continuous feedback loop between virtual and physical testing.
  • You'll lead the design of complex test scenarios in Isaac Sim/Lab that use generative AI to stress-test robot policies, ensuring that models trained in simulation (using Isaac GR00T) perform reliably on real physical hardware.
  • Lead design of complex test scenarios in Isaac Sim/Lab that use generative AI to stress-test robot policies, ensuring that models trained in simulation (using Isaac GR00T) perform reliably on real physical hardware.

What we need to see:
  • B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field (or equivalent experience)
  • 12+ overall years aligned Hardware Engineering experience w 3+ years of demonstrable experience in QA involving Robotics or Hardware Engineering
  • 5+ years of leading a team
  • Proficiency with AI Tools such as Cursor, Github Copilot, Perplexity, and ChatGPT
  • Experience in with ML and training /testing Robotics Models
  • Fleet management, telemetry and debug, along with managing demo's
  • Engage closely with a range of cross functional teams including project management, hardware and software developers, and routinely share statistical data reports with all customers, including Top-5.
  • Ability to translate organizational goals to QA deliverables
  • Strong problem solving and analytical skills with excellent communication skills

Ways to stand out from the crowd:
  • Incorporating Vision-Language Models (VLMs) -Designing, developing, and deploying robots that can understand and respond to both visual and linguistic inputs, enabling them to perform complex tasks through natural language commands and visual scene interpretation
  • Teleoperation - Manipulation and setting up data collection labs
  • Fluent in scripting in Python

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 216,000 USD - 345,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 4, 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

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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

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