ZipRecruiter

Log In

1

Trajectory Optimization Jobs in New York (NOW HIRING)

Mecka

Research Scientist, RL & Simulation

Manhattan, NY · On-site

$85 - $120/hr

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 ...

New

Mecka AI

Research Scientist, RL & Simulation

New York, NY · On-site

$200K - $250K/yr

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 ...

Optimum

Sr Engineer, IAM

Bethpage, NY · On-site

$107K - $146K/yr

We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and ... trajectory. Responsibilities CIAM Architecture & Platform Governance Own the architecture and ...

Navan

Senior Marketing Operations Manager

New York, NY · On-site

The ideal candidate will play a pivotal role in optimizing marketing operations, driving efficiency ... Navan's growth trajectory. This is a global role requiring close collaboration with teams in ...

Optimum Communications Inc.

Sr Engineer, IAM

Bethpage, NY · On-site

$107K - $146K/yr

We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and ... technical trajectory. Responsibilities CIAM Architecture & Platform Governance * Own the ...

Mason Interactive Inc

Account Executive

Brooklyn, NY · On-site

$80K - $100K/yr

... O and lifecycle and emerging channels * Provide strategic analysis and recommendations by ... Direct ownership of strategic initiatives and client outcomes, providing a clear trajectory for ...

Mason Interactive

Account Executive

Brooklyn, NY · On-site

... O and lifecycle and emerging channels * Provide strategic analysis and recommendations by ... Direct ownership of strategic initiatives and client outcomes, providing a clear trajectory for ...

Mason Interactive

Account Executive

Brooklyn, NY · Hybrid

... O and lifecycle and emerging channels * Provide strategic analysis and recommendations by ... Direct ownership of strategic initiatives and client outcomes, providing a clear trajectory for ...

Dexian DISYS

Sr. Java Full Stack Engineer

Hoboken, NJ · On-site

$57.50 - $74.25/hr

Advanced knowledge of low latency design patterns and performance optimization techniques ... trajectory-changing results that help everyone achieve their ambitions and goals. To learn more ...

Navan

Senior Marketing Operations Manager

New York, NY · On-site

The ideal candidate will play a pivotal role in optimizing marketing operations, driving efficiency ... Navan's growth trajectory. This is a global role requiring close collaboration with teams in ...

Solve Intelligence, Inc

Growth Engineer

New York, NY · On-site

$100K - $250K/yr

Top-of-funnel optimization: Come up with novel ways to build top-of-funnel pipeline, and run ... the trajectory of a fast-growing AI startup's product and growth. You might be a technical ex ...

Solve Intelligence

Growth Engineer

New York, NY · On-site

$100K - $250K/yr

Top-of-funnel optimization: Come up with novel ways to build top-of-funnel pipeline, and run ... the trajectory of a fast-growing AI startup's product and growth. You might be a technical ex ...

next page

Showing results 1-20

All JobsTrajectory Optimization JobsTrajectory Optimization Jobs in New York

Trajectory Optimization information

What is the difference between Trajectory Optimization vs Motion Planning Engineer?

AspectTrajectory OptimizationMotion Planning Engineer
Required CredentialsEngineering degree, knowledge of optimization algorithmsEngineering or robotics degree, familiarity with planning algorithms
Work EnvironmentResearch labs, robotics companies, aerospaceRobotics firms, autonomous vehicle companies, industrial automation
Employer & Industry UsageUsed to generate optimal paths and motions for robots and vehiclesDesigns feasible paths considering obstacles and constraints

Trajectory Optimization focuses on mathematically finding the best possible path for a robot or vehicle by minimizing or maximizing certain criteria. Motion Planning Engineers develop practical, collision-free paths considering environment constraints. While both roles involve path generation, Trajectory Optimization emphasizes mathematical optimization, whereas Motion Planning Engineers focus on real-world implementation and obstacle avoidance.

What is trajectory optimization?

Trajectory optimization is a process used in engineering and robotics to calculate the most efficient path or movement for a system or vehicle, often considering constraints like energy, time, or safety. Professionals in this field use mathematical models and algorithms to develop optimal trajectories, frequently utilizing tools such as MATLAB or Python. The role may require knowledge of control systems, programming, and simulation techniques.

What are popular job titles related to Trajectory Optimization jobs in New York?

For Trajectory Optimization jobs in New York, the most frequently searched job titles are:

What job categories do people searching Trajectory Optimization jobs in New York look for?

The top searched job categories for Trajectory Optimization jobs in New York are:

What cities in New York are hiring for Trajectory Optimization jobs?

Cities in New York with the most Trajectory Optimization job openings:

Trajectory Optimization jobs near you
Infographic showing various Trajectory Optimization job openings in New York as of June 2026, with employment types broken down into 11% Internship, and 89% Full Time. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution.

Research Scientist, RL & Simulation

Mecka

Manhattan, NY • On-site

$85 - $120/hr

Other

Posted 3 days ago

New

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.
#J-18808-Ljbffr

Apply