Simulation Engineer; Autonomy, Robotics & Sensor Systems - NYC - On-site

Location:

[NYC / On-site]

Experience:

2–8 years

We’re building high-fidelity simulation infrastructure that enables robotics and autonomy teams to test real-world systems safely, reliably, and at scale.

This role sits at the intersection of robotics, sensing, and simulation, focused on building digital twins and production-ready virtual environments that mirror real-world behaviour.

• Build and validate high-fidelity simulation environments for robotics systems
• Design and implement digital twins for real-world hardware
• Model and simulate sensor systems (camera, LiDAR, radar, etc.)
• Work across the full stack from sensor behaviour → environment → system outputs
• Balance simulation fidelity vs performance in production environments
• Collaborate closely with customers deploying real robotic systems

• Hands‑on robotics or sensor simulation experience
• Must have built and owned simulation systems end‑to‑end
• Direct experience with sensor systems, including: cameras, LiDAR, Radar
• Experience with NVIDIA Isaac Sim / Isaac Lab (preferred) OR Mu Jo Co  / Gazebo (strong equivalent)
• 2–8 years in robotics / autonomy / hardware simulation
• Strong Python (for simulation, testing, validation, tooling)
• Ability to design end‑to‑end simulation pipelines and digital twins
• Strong problem structuring skills
  - Ability to break down ambiguous system‑level problems clearly and logically
• Practical understanding of sensor behaviour, including: noise, calibration and data reliability
• C++ or Rust
• Experience with: sensor fusion, SLAM / tracking, detection and filtering algorithms (e.g. Kalman, CFAR)
• Experience with non‑visible sensing systems (radar, infrared, UV, etc.)
• Experience taking systems from simulation → real‑world validation

• Have deep ownership of at least one sensor or system simulation end‑to‑end
• Understand how real‑world sensors behave, not just how to simulate them
• Can design systems, not just components
• Build simulations that are credible, testable, and production‑ready

• You’ll be working on the core simulation infrastructure layer powering robotics and autonomy, solving problems where software replaces expensive real‑world testing.
• This is a high‑impact role with significant ownership in a fast‑moving environment.
• If this sounds relevant, apply or reach out directly.

Strong simulation experience in scientific or physics domains is valuable, but this role requires direct experience building and validating simulation systems for robotics and sensor‑driven environments, which is a fundamentally different class of problem.

• Candidates from pure physics / scientific simulation backgrounds
  , including: CFD, molecular modelling, materials science, multiphysics / PDE / HPC simulation
• Profiles without direct robotics or autonomy experience
• Candidates without hands‑on experience with: sensors (camera / LiDAR / radar), environment‑based simulation
• Engineers focused only on: ML platforms, data tooling / labeling systems, infrastructure without system‑level simulation ownership
• Candidates without experience using:
  Isaac Sim / Mu Jo Co  / Gazebo or similar
• Academic‑only profiles without real‑world system validation