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Overnight Ai Robotics Engineer Jobs (NOW HIRING)

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 ...

Senior Engineer, Robotics

Boston, MA · On-site

$113K - $155K/yr

With our industrial AI platform, we enable companies to design and optimize multi-robot workcells in the cloud, eliminating the need for manual robot programming. Our Resolver technology ...

Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. As a Frontend Robotics Engineer on the Customer Success team, you will design and customize Human ...

ISEE is seeking a full-time Robotics Engineer to join our team. The ideal candidate has several ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

About the role We are looking for a Robotics Engineer to join our self-driving technology team. In ... Gatik AI exec unpacks the regulations that could shape the AV industry * Business Wire: Gatik Paves ...

The AI Research Engineer will focus on deploying high-performance vision and multimodal models onto robotic platforms, ensuring reliability and low latency in execution. Responsibilities : • Deploy ...

About the role We are looking for a Robotics Engineer to join our self-driving technology team. In ... Gatik AI exec unpacks the regulations that could shape the AV industry * Business Wire: Gatik Paves ...

Lead standardization of robotics platforms, programming methodologies, end-of-arm tooling (EOAT ... AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient ...

ISEE is seeking a full-time Robotics Engineer to join our team. The ideal candidate has several ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Overnight Ai Robotics Engineer information

See salary details

$29K

$105.6K

$169K

How much do overnight ai robotics engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for overnight ai robotics engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Ai Robotics Engineer vs Ai Robotics Technician?

AspectOvernight Ai Robotics EngineerAi Robotics Technician
CredentialsBachelor's in Robotics, AI, or related field; certifications like ROS or AI certificationsAssociate's or Bachelor's in Robotics, Mechanical, or Electrical Engineering; technical certifications
Work EnvironmentDesign, develop, and test AI-driven robotic systems, often in labs or office settingsMaintain, troubleshoot, and repair robotic systems, often on-site or in manufacturing facilities
Employer & IndustryTech companies, research labs, manufacturing firms focusing on AI roboticsManufacturing plants, robotics service providers, industrial facilities

The Overnight Ai Robotics Engineer focuses on designing and developing AI-powered robotic systems, typically working in labs or development environments. In contrast, the Ai Robotics Technician handles the maintenance and repair of robotic systems, often working on-site. Both roles require technical knowledge, but the engineer's role is more design-oriented, while the technician's role is more hands-on troubleshooting.

More about Overnight Ai Robotics Engineer jobs
What cities are hiring for Overnight Ai Robotics Engineer jobs? Cities with the most Overnight Ai Robotics Engineer job openings:
What are the most commonly searched types of Ai Robotics Engineer jobs? The most popular types of Ai Robotics Engineer jobs are:
What states have the most Overnight Ai Robotics Engineer jobs? States with the most job openings for Overnight Ai Robotics Engineer jobs include:
Infographic showing various Overnight Ai Robotics Engineer job openings in the United States as of June 2026, with employment types broken down into 27% Full Time, 65% Part Time, and 8% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

GTM - Robotics

Moonlake AI

San Francisco, CA • On-site

Full-time

Posted 4 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.