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Remote Tooling Manager Jobs in California (NOW HIRING)

Embodied AI Tooling Engineer

El Segundo, CA · On-site +1

$100K - $120K/yr

Data Lifecycle Management: Developing advanced pipelines for data * cleaning, timestamp ... Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot * control and ...

Embodied AI Tooling Engineer

El Segundo, CA · On-site +1

$100K - $120K/yr

Data Lifecycle Management: Developing advanced pipelines for data * cleaning, timestamp ... Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot * control and ...

... tooling, and deep operational empathy. This execution-focused role centers on making support ... Drive evolution of remote support tools and support platforms. * Leverage AutoSupport, telemetry ...

Manage developer tooling * Ensure compliance with regulatory, compliance and security frameworks ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

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Remote Tooling Manager information

What is a remote tooling manager?

A Remote Tooling Manager is a professional responsible for overseeing the selection, implementation, and maintenance of software tools used by a distributed or remote team. They ensure the right tools are in place for collaboration, communication, and productivity, and often manage licenses, integrations, and user support. Their role may also involve training team members on new technologies and optimizing tool usage to improve workflow efficiency. Working remotely, they coordinate with team leads and IT departments to align tooling strategies with company goals.

How does a remote tooling manager coordinate with distributed engineering teams to ensure tool adoption and support?

A Remote Tooling Manager typically works closely with engineering and DevOps teams across different locations, using collaboration platforms such as Slack, Jira, and Zoom to facilitate communication. To ensure tool adoption, they organize virtual training sessions, create detailed documentation, and set up regular check-ins to address any issues or feedback. Building strong relationships with team leads and providing responsive support are key strategies for overcoming challenges related to time zones and remote collaboration. This proactive approach helps maintain tool efficiency and user satisfaction across the organization.

What are the key skills and qualifications needed to thrive as a remote tooling manager?

To thrive as a Remote Tooling Manager, you need expertise in software development, project management, and tooling infrastructure, often supported by a degree in computer science or engineering. Familiarity with CI/CD pipelines, cloud platforms, version control systems, and relevant certifications such as AWS Certified DevOps Engineer are typically required. Strong communication, leadership, and problem-solving skills are vital for managing distributed teams and fostering collaboration. These skills ensure efficient tooling solutions, smooth remote operations, and successful project outcomes.

What is the difference between Remote Tooling Manager vs Remote DevOps Engineer?

AspectRemote Tooling ManagerRemote DevOps Engineer
CredentialsTypically requires project management, tooling, or engineering certificationsRequires software development, cloud, and automation certifications
Work EnvironmentManages tooling teams, oversees tool development, collaborates with engineering teams remotelyDevelops and maintains CI/CD pipelines, automates deployment processes remotely
Industry UsageUsed across software, gaming, and tech companies focusing on tooling managementCommon in software development, cloud services, and tech firms

The Remote Tooling Manager primarily oversees the development and management of tools used by engineering teams, focusing on team coordination and tool strategy. In contrast, the Remote DevOps Engineer concentrates on automating deployment, integration, and infrastructure processes. Both roles require technical expertise but differ in scope and focus, with the Tooling Manager emphasizing team and tool strategy, and the DevOps Engineer focusing on automation and infrastructure.

What job categories do people searching Remote Tooling Manager jobs in California look for?

The top searched job categories for Remote Tooling Manager jobs in California are:

What cities in California are hiring for Remote Tooling Manager jobs?

Cities in California with the most Remote Tooling Manager job openings:

Embodied AI Tooling Engineer

Faraday Future

El Segundo, CA • On-site, Remote

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 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.