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Robotics Training Jobs in California (NOW HIRING)

Robotics simulation * Interactive 3D worlds * World models * Real-time generation * AI ... RL training infrastructure * Interactive 3D environments * World models or multimodal systems

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Robotics Training information

How to become a robotics trainer?

To become a robotics trainer, individuals typically need a strong background in robotics, engineering, or related fields, often demonstrated through a relevant degree or technical certification. Gaining experience with robotics hardware, programming languages like Python or C++, and training or teaching skills is essential, along with familiarity with robotics platforms such as Arduino or LEGO Mindstorms. Certifications in robotics or automation can enhance credibility and job prospects in this role.

Is robotics a dead field?

Robotics is an active and growing field with applications in manufacturing, healthcare, logistics, and research. Robotics training often involves learning programming, sensors, and automation systems, and demand for skilled professionals continues to increase as technology advances.

What jobs can I get with a robotics certificate?

A robotics certificate can qualify you for roles such as robotics technician, automation technician, or control systems technician, where you work with robotic systems, troubleshoot issues, and perform maintenance. These jobs often require knowledge of programming, sensors, and industrial automation tools, and may involve working in manufacturing, research, or development environments.

Which pays more, AI or robotics?

Robotics training professionals typically earn salaries comparable to or slightly lower than AI specialists, depending on experience and industry. AI roles often require advanced programming skills and knowledge of machine learning, which can lead to higher compensation. Both fields offer growth opportunities, but AI roles tend to have higher average salaries due to their broader application in data science and software development.

What is the difference between Robotics Training vs Robotics Technician?

AspectRobotics TrainingRobotics Technician
CredentialsTypically involves courses, certifications, and hands-on trainingRequires technical certifications, associate degree or equivalent experience
Work EnvironmentClassroom, lab, or online learning settingsManufacturing floors, maintenance facilities, or automation plants
Industry UsageUsed for skill development and entry-level preparationInvolved in installing, maintaining, and troubleshooting robots
Search & ComparisonOften searched by individuals seeking to enter robotics careersCompared for hands-on technical roles in automation

Robotics Training focuses on education and skill development through courses and certifications, preparing individuals for roles in robotics. Robotics Technicians apply these skills in real-world environments, maintaining and troubleshooting robotic systems. While Robotics Training provides foundational knowledge, Robotics Technicians perform practical, on-the-job tasks essential for automation operations.

What are popular job titles related to Robotics Training jobs in California? For Robotics Training jobs in California, the most frequently searched job titles are:
What job categories do people searching Robotics Training jobs in California look for? The top searched job categories for Robotics Training jobs in California are:
What cities in California are hiring for Robotics Training jobs? Cities in California with the most Robotics Training job openings:

GTM - Robotics

Moonlake AI

San Francisco, CA • On-site

Full-time

Posted 7 days ago


Job description

Introducing Moonlake, AI for creating world simulations.
About Moonlake
Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale.
Our team sits at the intersection of:
  • Embodied AI
  • Robotics simulation
  • Interactive 3D worlds
  • World models
  • Real-time generation
  • AI infrastructure

Moonlake is building the next generation of AI infrastructure for interactive digital worlds. Our mission is to enable anyone to create, simulate, and interact with rich environments using natural language and multimodal inputs, turning simple ideas into worlds with structure, logic, and agents that can perceive and act.
Our team has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX ventures and notable angels including Naval Ravikant and Jeff Dean to build the foundational layer for the future of AI - powering everything from creative tools and games to robotics training, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.
We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.
The Role
We're looking for a GTM Engineer to help deploy Moonlake's simulation and embodied AI systems into real-world robotics workflows and customer environments.
This is a highly technical, customer-facing engineering role focused on:
  • robotics simulation
  • deployment
  • environment integration
  • technical implementation
  • rapid iteration with customers and partners

You'll work directly with:
  • robotics companies
  • research teams
  • simulation environments
  • embodied AI workflows
  • deployment pipelines

This role is critical to helping Moonlake bridge frontier world-model systems with real-world robotics use cases.
What You'll Do
  • Deploy and integrate Moonlake's simulation and embodied AI systems into customer workflows
  • Work directly with robotics partners and technical users
  • Build robotics simulation pipelines and evaluation environments
  • Support deployment, debugging, and integration efforts across simulation stacks
  • Collaborate closely with research and infrastructure teams
  • Prototype workflows and tools for robotics simulation and embodied agent evaluation
  • Help define best practices for deploying interactive world-model systems into robotics environments
  • Translate customer needs into technical product and infrastructure improvements
What We're Looking For
  • Strong robotics or simulation engineering background
  • Experience with:
    • Isaac Sim
    • MuJoCo
    • robotics simulation environments
  • Strong systems and engineering fundamentals
  • Comfort working directly with customers and external technical teams
  • Ability to debug complex technical systems quickly
  • Experience working with embodied AI or RL workflows
  • Strong communication and collaboration skills
  • Ability to move quickly in ambiguous environments
Bonus Points
  • Experience with embodied AI systems
  • RL training infrastructure
  • Interactive 3D environments
  • World models or multimodal systems
  • Synthetic data generation pipelines
  • GPU infrastructure or simulation optimization
  • Game engine or graphics experience
Why This Role Matters
Moonlake's systems become dramatically more valuable when they integrate seamlessly into real-world robotics and embodied AI workflows.
This role sits directly at that boundary.
You'll help:
  • deploy frontier simulation systems,
  • shape customer adoption,
  • improve robotics workflows,
  • and define how interactive world models are used in practice.

This is a rare opportunity to work at the intersection of:
  • robotics,
  • AI infrastructure,
  • simulation,
  • and next-generation embodied systems.

We are committed to being an on-site, in-person team currently based in San Francisco.