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Robot Simulation Jobs in Newark, NJ (NOW HIRING)

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 ...

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 ...

Research Scholar

New York, NY · On-site

$48K - $62K/yr

Robot Simulation: Train and deploy models within a simulated robot environment. * Exceptional communication and time management skills. * Ability to work both independently and within a team.

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Robot Simulation information

See Newark, NJ salary details

$40.8K

$129K

$199.2K

How much do robot simulation jobs pay per year?

As of Aug 25, 2026, the average yearly pay for robot simulation in Newark, NJ is $129,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $153,200.00 per year, depending on experience, location, and employer.

What is the difference between Robot Simulation vs Robot Programmer?

AspectRobot SimulationRobot Programmer
Required CredentialsEngineering degree, CAD/Simulation software skillsEngineering or computer science degree, programming skills
Work EnvironmentDesign labs, simulation software environmentsManufacturing floors, robotics labs, programming environments
Industry UsageTesting, designing, and validating robot behaviors virtuallyWriting, testing, and deploying robot control code
Common Search IntentUnderstanding virtual robot testing and designLearning robot programming and control development

Robot Simulation focuses on creating virtual models and testing robot behaviors using simulation software, while Robot Programmer involves writing and implementing code to control physical robots. Both roles require technical skills but differ in their focus—virtual testing versus real-world programming.

Is robotics a high paying career?

Robotics is generally considered a high-paying career, especially for roles such as robot simulation engineers or automation specialists, with salaries often exceeding the national average for engineering jobs. Advanced skills in programming, control systems, and experience with simulation tools like ROS or MATLAB can lead to higher compensation, particularly in industries like manufacturing, aerospace, and research. However, salaries vary based on experience, education, location, and industry demand.

What are popular job titles related to Robot Simulation jobs in Newark, NJ?

For Robot Simulation jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Robot Simulation jobs in Newark, NJ look for?

The top searched job categories for Robot Simulation jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Robot Simulation jobs?

Cities near Newark, NJ with the most Robot Simulation job openings:

Research Scientist, RL & Simulation

Manhattan, NY • On-site

$85 - $120/hr

Other

Posted 7 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 to 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 to data to training to evaluation.

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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