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Remote Sim Racing Jobs in California (NOW HIRING)

Embodied AI Tooling Engineer

El Segundo, CA · On-site +1

$100K - $120K/yr

Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot * control and ... Familiarity with simulation engines like NVIDIA Isaac Sim, Gazebo, or Mujoco. * System Mindset:

Embodied AI Tooling Engineer

El Segundo, CA · On-site +1

$100K - $120K/yr

Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot * control and ... Familiarity with simulation engines like NVIDIA Isaac Sim, Gazebo, or Mujoco. * System Mindset:

Remote Sim Racing information

What is remote sim racing?

Remote sim racing involves participating in simulated car races using advanced driving simulators from a remote location, typically at home. Drivers use specialized hardware like steering wheels, pedals, and sometimes motion platforms, along with racing simulation software, to compete against others online. It’s popular for both casual gamers and professional eSports competitors, offering a realistic driving experience without the risks and costs of real-world racing. Remote sim racing can also be used for driver training and skill development.

What are the key skills and qualifications needed to thrive as a sim racing professional?

To thrive as a Sim Racing Professional, you need advanced driving skills, in-depth knowledge of racing strategies, and familiarity with vehicle dynamics, often demonstrated through competitive sim racing experience. Proficiency with sim racing platforms (such as iRacing or Assetto Corsa), high-end sim hardware, and sometimes telemetry analysis tools is typically required. Strong focus, adaptability, quick decision-making, and effective communication for team-based events are standout soft skills in this role. These skills are crucial for achieving peak performance, competing at high levels, and collaborating effectively in the competitive world of esports racing.

What are some common challenges faced by professionals working in remote sim racing roles?

Professionals in remote sim racing often face challenges related to maintaining effective communication and collaboration with team members across different time zones. Technical issues such as hardware compatibility, internet connectivity, and software updates can also disrupt practice sessions and competitions. Additionally, staying motivated and focused without the structure of an in-person environment requires strong self-discipline. Team members typically rely on regular virtual meetings, shared platforms, and clear communication channels to ensure seamless coordination.

What is the difference between Remote Sim Racing vs Remote Esports Coach?

AspectRemote Sim RacingRemote Esports Coach
CredentialsRacing game knowledge, driving skills, sometimes certifications in racing simulationEsports coaching certifications, gaming expertise, strategic knowledge
Work EnvironmentHome-based, online platforms, racing simulatorsHome-based, online coaching sessions, gaming teams
Industry UsageMotorsport simulation, gaming industryEsports industry, competitive gaming
Common Search/ComparisonYesYes

Remote Sim Racing involves operating and competing in racing simulations from home, focusing on driving skills and racing knowledge. Remote Esports Coaches provide strategic guidance and training to esports players remotely. While both roles are online and gaming-related, Remote Sim Racing centers on racing simulation performance, whereas Remote Esports Coaching emphasizes coaching across various competitive gaming titles.

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 Remote Sim Racing jobs in California?

For Remote Sim Racing jobs in California, the most frequently searched job titles are:

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

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

What cities in California are hiring for Remote Sim Racing jobs?

Cities in California with the most Remote Sim Racing job openings:

Infographic showing various Remote Sim Racing job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

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.