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Sim Racing Jobs in Simi Valley, CA (NOW HIRING)

Strong command of cozy and casual sim storytelling, with the ability to land warmth, humor, and ... We hire local talent at all levels regardless of race, color, religion, age, national origin ...

Strong command of cozy and casual sim storytelling, with the ability to land warmth, humor, and ... We hire local talent at all levels regardless of race, color, religion, age, national origin ...

Sim Racing information

See Simi Valley, CA salary details

$11.4K

$133.9K

$204.4K

How much do sim racing jobs pay per year?

As of Jun 13, 2026, the average yearly pay for sim racing in Simi Valley, CA is $133,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,300.00 and $143,000.00 per year, depending on experience, location, and employer.

What does a typical workweek look like for someone in a Sim Racing role?

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 key skills and qualifications needed to thrive in the Sim Racing position, and why are they important?

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 is a Sim Racing job?

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 cities near Simi Valley, CA are hiring for Sim Racing jobs? Cities near Simi Valley, CA with the most Sim Racing job openings:
Infographic showing various Sim Racing job openings in Simi Valley, CA as of June 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 100% In-person job distribution, with an average salary of $133,854 per year, or $64.4 per hour.

Senior Locomotion Control Engineer

Faraday Future

Los Angeles, CA

$110K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

The Company:

Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world's best talent to realize exciting new possibilities in mobility and robotics. We're producing user-centric, technology-first vehicles and robots to establish new paradigms in human-AI interaction. We're not just seeking to change how our cars and robots work – we're seeking to change the way we drive and interact with machines. At FF, we're creating something new, something connected, and something with a true global impact.

Your Role:

We are seeking a Senior Locomotion Control Engineer to lead the design, implementation, and real-world deployment of robot motion capabilities. This role is responsible for building robust locomotion systems that work reliably across simulation and hardware, and for driving the technical direction of gait, balance, terrain adaptation, and control integration.

Responsibilities:

  • Design, implement, and optimize robot locomotion systems, including gait generation, balance control, and terrain adaptation.
  • Develop and improve locomotion controllers using MPC, whole-body control, reinforcement learning, or hybrid control approaches.
  • Own the full loop from simulation to hardware deployment, including controller tuning, regression validation, and failure analysis.
  • Improve robot stability, robustness, safety, and energy efficiency in real-world operating conditions.
  • Work closely with runtime, simulation, behavior, and hardware teams to define clean interfaces and reliable integration paths.
  • Support real-robot bring-up, debugging, performance analysis, and root-cause investigation for motion failures.
  • Contribute to control architecture decisions, testing methodology, and technical roadmap planning for motion control capabilities.

Basic Qualifications:

  • Master's degree or above in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
  • 5+ years of experience developing robotics locomotion, motion control, or autonomous robotic systems.
  • 3+ years of hands-on experience supporting quadruped, humanoid, or legged robot development and deployment.
  • Strong foundation in robotics, including dynamics, kinematics, estimation, and control theory.
  • Hands-on experience with at least one locomotion approach such as MPC, whole-body control, reinforcement learning locomotion, or heuristic gait control.
  • Strong C++ skills for production robotics software development.
  • Proficiency in Python for research workflows, simulation, tooling, and analysis.
  • Experience deploying algorithms on real robots, ideally quadrupeds, humanoids, or mobile manipulation systems.
  • Prior experience deploying locomotion or control algorithms on physical robots is required.
  • Ability to diagnose real-system failures and translate observations into actionable control or systems improvements.

Preferred Qualifications:

  • Experience with RL locomotion, imitation learning, or policy-based control for physical robots.
  • Experience with sim-to-real workflows, including actuator modeling, latency compensation, domain randomization, or system identification.
  • Familiarity with MuJoCo, Isaac, RaiSim, Gazebo, or equivalent simulation platforms.
  • Experience with real-time robotics systems, ROS 2, controller scheduling, and control-runtime integration.
  • Background in contact-rich control, force control, or whole-body coordination.
  • Track record of shipping motion capabilities from prototype to robust field performance.

Annual Salary Range:

($110,000 - $135,000 DOE), plus benefits and incentive plans

Perks + Benefits

  • Healthcare + dental + vision benefits (Free for you/discounted for family)
  • 401(k) options
  • Casual dress code + relaxed work environment
  • Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.