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Robotics Simulation Jobs in New York (NOW HIRING)

Mecka AI

Research Scientist, RL & Simulation

New York, NY · On-site

$200K - $250K/yr

We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets ... What You'll Work On Simulation Environments * Build and maintain simulation environments for ...

Diocese of Trenton

Robotics Club Moderator

Belmar, NJ · On-site

The Robotics Club Moderator will be responsible for organizing and overseeing all aspects of the club's activities, including fundraising and attending local competitions, and working with the ...

Radical AI

Robotics Engineer

New York, NY · On-site

Develop simulation, testing, and validation tools to accelerate development and ensure system reliability * Integrate 2D and 3D vision systems (cameras, lighting, depth sensors) with robotic ...

Robert Half

Project Coordinator III

Manhattan, NY · On-site

$30 - $35/hr

Experience with robotics, simulation environments, or teleoperation systems * Familiarity with task management or ticketing tools * Ability to quickly learn new software and systems * Strong ...

Reflex Robotics

Controls Engineer

New York, NY · On-site

$215K - $300K/yr

Company Overview Reflex Robotics is building affordable ($10k) wheeled humanoid robots to automate ... You've controlled the motion of real-world hardware before, not just in simulation-e.g., nanometer ...

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Robotics Simulation information

What is robotics simulation?

Robotics simulation is the use of computer software to model and test the behavior of robots in a virtual environment. This allows engineers and researchers to design, program, and optimize robots without needing physical prototypes, saving time and resources. Simulations can replicate real-world conditions, enabling the analysis of robot movement, sensor data, and task performance before implementation. Robotics simulation is commonly used in developing autonomous systems, industrial automation, and research applications.

What are the key skills and qualifications needed to thrive as a Robotics Simulation Engineer, and why are they important?

To thrive as a Robotics Simulation Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by a relevant degree such as electrical engineering or mechanical engineering. Familiarity with simulation tools like Gazebo, ROS (Robot Operating System), MATLAB/Simulink, and programming languages such as Python or C++ is essential. Problem-solving, attention to detail, and effective teamwork are key soft skills that help in designing and refining complex simulation models. These abilities are crucial for creating accurate simulations that accelerate development, testing, and deployment of robotic systems.

What is the difference between Robotics Simulation vs Robotics Software Engineer?

AspectRobotics SimulationRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related; programming skills
Work EnvironmentResearch labs, simulation platforms, development teamsSoftware development teams, robotics companies, tech firms
Industry UsageTesting algorithms, virtual prototyping, system validationDeveloping robot control software, algorithms, and integration
Common Search/ComparisonYesYes

Robotics Simulation focuses on creating virtual environments to test and validate robotic systems, while Robotics Software Engineers develop the actual software that controls robots. Both roles often collaborate but serve different stages of robotics development, with simulation emphasizing testing and validation, and software engineering focusing on implementation and coding.

What are some typical challenges faced when working in robotics simulation, and how can they be addressed?

Professionals in robotics simulation often encounter challenges such as accurately modeling real-world physics, ensuring simulation fidelity, and integrating with hardware or software systems. Addressing these requires a strong understanding of both robotics and simulation tools, as well as effective collaboration with engineers, software developers, and testers. Staying updated with advancements in simulation platforms and maintaining clear documentation are key strategies to overcome these challenges and ensure the simulations provide meaningful insights for development and testing.
What are popular job titles related to Robotics Simulation jobs in New York? For Robotics Simulation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Robotics Simulation jobs in New York look for? The top searched job categories for Robotics Simulation jobs in New York are:
What cities in New York are hiring for Robotics Simulation jobs? Cities in New York with the most Robotics Simulation job openings:
Robotics Simulation jobs near you
Infographic showing various Robotics Simulation job openings in New York as of June 2026, with employment types broken down into 82% Full Time, 13% Part Time, 3% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Research Scientist, RL & Simulation

Mecka AI

New York, NY • On-site

$200K - $250K/yr

Full-time

Posted 15 days ago

Job description

About Mecka AI
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems. Our work sits directly between research, data, and real-world execution - where model performance is dictated by data quality.
The Role
We are looking for a Research Scientist, RL & Simulation to own the RL + simulation engine that turns large-scale human demonstrations into scalable robot learning signals.
This is a research-meets-systems role: you'll build simulation environments, retarget human motion to robot actions, train and evaluate policies, and drive sim-to-real transfer with clear metrics.
What You'll Work On
Simulation Environments
  • Build and maintain simulation environments for robotics learning (e.g., Isaac Sim / Isaac Gym, MuJoCo, Genesis, Habitat, ManiSkill).
  • Decide what environments and assets to build first to maximize learning velocity.
Retargeting (Human → Robot)
  • Convert human demonstrations into robot-executable trajectories.
  • Explore IK-based, optimization-based, and learning-based retargeting approaches.
Policy Learning & Evaluation
  • Train policies from demonstrations using imitation learning + RL:
    • Behavior Cloning, DAgger-style aggregation, Offline RL
    • PPO / SAC (or similar) when online fine-tuning is required
  • Define evaluation: success metrics, stress tests, generalization, and regression tracking.
Sim-to-Real
  • Drive transfer via domain randomization, system identification, contact modeling, and failure-mode analysis.
  • Use real data to identify domain gaps that matter.
Who You Are
Required Background
  • MSc/PhD (or equivalent research experience) in robotics, ML, or a related field.
  • Strong hands-on experience with robot simulation and policy learning.
  • Proficiency in Python; solid engineering discipline (reproducible experiments, clean code, debugging).
  • Comfort working end-to-end: environment → data → training → evaluation.
  • Warning: Research Scientist positions require hyper-specific expertise. Please limit your applications to one research role. Applying to multiple Research Scientist positions suggests a lack of focus and may result in the rejection of all submissions. You may, however, apply to other non-research roles alongside your research application.

Strong Signals:
  • Experience with manipulation, dexterous hands, or locomotion.
  • Experience with retargeting, IK, trajectory optimization, or differentiable simulation.
  • Deep intuition for what makes sim-to-real succeed or fail.
Why This Role
  • Define how Mecka turns egocentric human behavior into scalable robot learning signals.
  • High ownership, fast iteration, and direct connection to real-world datasets.

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