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Robotics Deployment Engineer Jobs in New York (NOW HIRING)

Navtech, Inc.

Java RPA Engineer

Jersey City, NJ · On-site

$54 - $74/hr

Java RPA Engineer Location: Jersey City/ NJ Duration: 6 months : * As a RPA Software Engineer, you ... Employ agile development practices including test driven development and deployment automation as ...

Bedrock Robotics

Frontend Engineer

New York, NY · On-site

In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments ... About The Role We are building highly complex interfaces for the bleeding edge of robotics and ...

Standard Bots

Senior AI Research Engineer

New York, NY · On-site +1

$225K - $300K/yr

Our AI-powered platform enables robots to tackle unprecedented challenges through an intuitive ... Collaborate with engineering team to optimize training infrastructure and deployment You might ...

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Robotics Deployment Engineer information

What is a robotics deployment engineer?

Robotics Deployment Engineers are professionals who specialize in installing, integrating, and configuring robotic systems in real-world settings. They work closely with clients to ensure robots are properly set up, tested, and optimized for specific operational needs. Their responsibilities often include troubleshooting hardware and software issues, providing on-site support, and training staff on using robotic equipment. These engineers play a critical role in making sure robotics technology transitions smoothly from the lab or factory to its intended application environment.

What are some typical challenges faced by robotics deployment engineers during on-site installations?

Robotics Deployment Engineers often encounter challenges such as adapting to varying facility layouts, integrating new robotic systems with existing infrastructure, and troubleshooting unexpected hardware or software issues during deployment. Communication and collaboration with local IT, operations, and maintenance teams are key to overcoming these obstacles, as each site may present unique requirements or constraints. Being flexible and solution-oriented is essential, as timelines can be tight and successful deployment often hinges on quickly resolving integration and performance concerns.

What are the key skills and qualifications needed to thrive as a robotics deployment engineer, and why are they important?

To thrive as a Robotics Deployment Engineer, you need a strong background in robotics, mechanical or electrical engineering, and experience with system integration, often supported by a relevant engineering degree. Familiarity with programming languages (such as Python or C++), robotics middleware (like ROS), and hands-on experience with automation hardware and control systems are typically essential. Problem-solving, adaptability, and excellent communication skills help you coordinate with cross-functional teams and address client needs effectively. These skills ensure successful on-site deployment, troubleshooting, and optimization of robotic systems in diverse environments.

What are popular job titles related to Robotics Deployment Engineer jobs in New York?

For Robotics Deployment Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Robotics Deployment Engineer jobs in New York look for?

The top searched job categories for Robotics Deployment Engineer jobs in New York are:

What cities in New York are hiring for Robotics Deployment Engineer jobs?

Cities in New York with the most Robotics Deployment Engineer job openings:

Robotics Deployment Engineer jobs near you
Infographic showing various Robotics Deployment Engineer job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, and 12% Remote job distribution.

Member of Technical Staff, Robotics Engineer

New York, NY • On-site

Runway
See more jobs at Runwayexternal

$270K - $370K/yr

Full-time

Re-posted 28 days ago

Job description

We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won't solve the world's hardest problems - robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
About the role
*Open to candidates based near our NYC office or those willing to relocate.
Building general world models - systems that understand and simulate reality across tasks, modalities, and domains - requires closing the loop between learned representations and real-world action. We're looking for a Robotics Engineer to bring our video-native foundation models onto real hardware: deploying world-model-based policies on real robots and making them work in the real world.
You will work across the full stack of robot learning - from data collection and task design, to policy deployment, to physical evaluation. This is a hands-on, execution-oriented role at the intersection of foundation models, learned robot policies, and hardware. You'll bring deep robotics domain expertise and help us ship world-model-based robot policies end-to-end, with applications ranging from manipulation to mobile robotics.
What you'll do
  • Own the deployment loop for learned policies (VLAs, diffusion policies, World Action Models) on real robot arms: inference serving, action decoding, controller integration, latency budgets, and safety limits
  • Diagnose real-world policy failures - determining whether the problem is data coverage, camera/proprioception mismatch, or execution - and partner with the research team to fix it at the right layer
  • Design demonstration data collection protocols (task setup, camera placement, teleop conventions) that produce data our world models can actually learn from - working with our existing teleop and lab infrastructure
  • Partner with research to run controlled experiments connecting world model representations, data composition, and fine-tuning recipes to physical success rates
  • Define and run physical evaluation protocols so results are trustworthy and comparable across policy iterations
  • Adapt our policy recipe to partner hardware and new embodiments

What you'll need
  • You have personally deployed software on real robot hardware and iterated to make it work - whether learned policies, motion planning, classical control, or perception-driven manipulation. You can walk through a specific system you shipped, what broke on the physical robot that didn't break in sim or testing, and how you fixed it.
  • Fluency in the software-to-robot interface: action/command spaces, control frequencies, observation pipelines, calibration, and how each affects real-world behavior
  • Comfort working at the intersection of software and physical systems: you can reconfigure a robot workspace and trace a policy failure in the same afternoon
  • Bonus: direct experience deploying learned policies (VLAs, diffusion policies) on real hardware; experience with video/multimodal generative models or world models

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
Working at Runway
Great things come from great teams. We'd love to hear from you.
We're committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
  • Universal World Simulator
  • GWM-1
  • Gen-4.5
  • General World Models
  • Robotics SDK
  • Conversational Real-time Agents
  • Runway Studios

We're excited to be recognized as a best place to work:
Crain's | InHerSight | BuiltIn NYC | INC

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