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Sim Racing Jobs in Los Angeles, CA (NOW HIRING)

Embodied AI Tooling Engineer

El Segundo, CA · On-site +1

$100K - $120K/yr

Familiarity with simulation engines like NVIDIA Isaac Sim, Gazebo, or Mujoco. * System Mindset ... race, national origin, gender, gender identity, sexual orientation, protected veteran status ...

Sim Synergy: Provide real-world subjective to objective correlation data to refine their models and ... All qualified applicants will receive consideration for employment without regard to race, color ...

Showing results 21-31

Sim Racing information

See Los Angeles, CA salary details

$11.9K

$139.7K

$213.3K

How much do sim racing jobs pay per year?

As of Sep 7, 2026, the average yearly pay for sim racing in Los Angeles, CA is $139,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,500.00 and $149,200.00 per year, depending on experience, location, and employer.

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 Los Angeles, CA?

The most popular types of Sim Racing jobs in Los Angeles, CA are:

What are popular job titles related to Sim Racing jobs in Los Angeles, CA?

For Sim Racing jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Sim Racing jobs in Los Angeles, CA look for?

The top searched job categories for Sim Racing jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Sim Racing jobs?

Cities near Los Angeles, CA with the most Sim Racing job openings:

Infographic showing various Sim Racing job openings in Los Angeles, CA as of August 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 100% In-person job distribution, with an average salary of $139,717 per year, or $67.2 per hour.

Embodied AI Tooling Engineer

Faraday Future

El Segundo, CA • On-site, Remote

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 16 days ago


Job description

The Company:

Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence enabled technologies.

Founded in 2014, the Company's mission is to disrupt the automotive and technology industries by creating user-centric, technology-first experiences. The Company, together with its control subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration. The Company aims to leverage the latest technologies and world's best talent to realize exciting new possibilities across all of these lines. Faraday Future's automotive business exemplifies its vision for luxury, innovation, and performance, while its FX strategy aims to introduce mass production models equipped with state-of-the-art luxury technology derived from the FF brand, targeted towards a broader market with middle-to-low price range offerings. FF is committed to redefining mobility through AI innovation. Join us in shaping the future of intelligent transportation and technology by creating something new, something connected, and something with a true global impact.

Your Role:

As the Embodied AI Tooling Engineer, you will spearhead the development and vision of our end-to-end AI tooling ecosystem. You will own the infrastructure that powers our Embodied AI architecture, ensuring a seamless flow from raw interaction to model training. Your focus areas include:

  • Data Acquisition: Building scalable tools for high-fidelity data collection from both
  • physical robotic platforms and simulation environments.
  • Data Lifecycle Management: Developing advanced pipelines for data
  • cleaning, timestamp synchronization, and multimodal data alignment.
  • Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot
  • control and real-time tele-monitoring.

You are both a visionary architect and a hands-on technical engineer. You will guide a high[1]impact team to transform cutting-edge robotics research into robust, production-ready capabilities.

Key Responsibilities

  1. Architecture & Strategy
  • System Design: Architect a modular and scalable robotics tooling portfolio that
  • simulation, hardware-in-the-loop, and cloud infrastructure.
  • Technical Roadmap: Define and execute a strategic roadmap, balancing rapidly.
  • innovation with the delivery of stable, high-performance tools.
  • Standardization: Establish industry-leading standards for data formats (e.g., MCAP,
  • HDF5, LeRobot) and communication protocols across the AI lifecycle.
  1. Data Engineering & Pipeline Optimization
  • Multimodal Alignment: Lead the development of automated tools for multi-sensor data
  • fusion and precision timestamp alignment (LiDAR, Camera, IMU, etc.).
  • Efficiency Tools: Design sophisticated data "scrubbing" and labeling interfaces to
  • accelerate the creation of high-quality humanoid robot datasets.
  1. Teleoperation & Human-Robot Interaction (HRI)
  • Real-time Control: Optimize teleoperation systems for ultra-low latency to improve the quality of human-demonstrated data.
  • Visualization: Build intuitive dashboards for real-time monitoring of robot states,

diagnostic telemetry, and environmental perception.

  1. Collaboration
  • Cross-functional Synergy: Partner closely with AI Researchers, Hardware Engineers, and partners to identify and bridge tooling gaps.

Basic Qualifications

  • Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
  • Experience: 5+ years of experience in software engineering within Robotics, AI, or Autonomous Driving.
  • Technical Mastery: Pro-level proficiency in Python and C++. Deep experience with ROS/ROS2 and modern ML frameworks (e.g., PyTorch, TensorFlow).
  • Domain Knowledge: Solid understanding of data pipelines (ETL), sensor fusion, and
  • distributed systems. Familiarity with simulation engines like NVIDIA Isaac Sim, Gazebo, or Mujoco.
  • System Mindset: Proven track record of shipping complex software products from
  • prototype to production.

Preferred Qualifications

  • Experience with teleoperation hardware (HaptX, VR controllers) or human[1]demonstration data collection.
  • Contributions to open-source robotics or AI projects (e.g., LeRobot, Hugging Face
  • Robotics).
  • Experience in Humanoid Robotics or complex multi-degree-of-freedom (DoF) systems.

Salary Range

($100,000-$120,000 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

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.