Senior Simulation Engineer I/II, Robotics

Lila Sciences

$144K — $240K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years in simulation engineering or related field.
  • Proficient in NVIDIA Isaac Sim and Omniverse Kit API with Python scripting skills.
  • Strong understanding of USD and scene authoring.
  • Familiar with robot kinematics, motion planning, and control.
  • Robust Python programming skills for production-quality code.
  • Knowledge of physics simulation concepts including dynamics and modeling.

Responsibilities

  • Design and maintain reusable simulation scene libraries using USD.
  • Build Python tools for automation of scene construction and data generation.
  • Contribute to SDKs and APIs for simulation platform enhancement.
  • Prototype new simulation techniques for motion planning and calibration.
  • Implement domain randomization strategies for simulation environments.
  • Collaborate with ML and robotics teams to minimize sim-to-real gaps.

Benefits

  • Medical, dental, and vision coverage.
  • Employer-paid life and disability insurance.
  • Flexible time off and company-wide holidays.
  • Paid parental leave and an educational assistance program.
  • Commuter benefits and subsidized lunch program.
Full Job Description
Your Impact at LILA

We are looking for a Simulation Engineer to help establish the foundation of our simulation platform. You will be a core technical contributor shaping how we design, build, and scale virtual environments - from individual scene authoring to automated, headless data generation pipelines. You will work across the full simulation stack: scene infrastructure, physics and sensor fidelity, programmatic scene construction, and sim-to-real transfer workflows.

This is a high-impact, foundational role on a team being built from the ground up. You will have significant influence over tooling decisions, architectural patterns, and best practices, and your work will directly de-risk robotics development and accelerate throughput modeling for orchestration.

What You'll Be Building
  • Design and maintain modular, reusable simulation scene libraries using well-structured USD (Universal Scene Description), including proper use of references, payloads, variants, layers, and composition arcs.
  • Build Python-based tooling and automation around the Omniverse Kit API (omni.usd, omni.kit, omni.replicator) to enable programmatic scene construction, editing, and batch processing, including headless Isaac Sim workflows for large-scale automated simulation runs and synthetic data generation.
  • Contribute to internal simulation SDKs, APIs, and developer tools that allow other engineers to build on top of the simulation platform.
  • Prototype and evaluate new simulation techniques, including physics calibration, sensor modeling, environment generation, and GPU-accelerated motion planning (e.g., cuRobo) for inverse kinematics and collision-aware trajectory generation.
  • Design and implement domain randomization strategies (appearance, physics, lighting, sensor noise) using NVIDIA Replicator, and build tooling to evaluate and benchmark sim-to-real performance across configurations.
  • Collaborate with ML and robotics teams to characterize and reduce the sim-to-real gap, including physics parameter tuning, contact modeling, and sensor simulation fidelity.

What You'll Need to Succeed
  • 3-5 years of hands-on experience in simulation engineering, robotics software, or a closely related field.
  • Proficiency with NVIDIA Isaac Sim and the Omniverse Kit framework, including Python scripting via the Omniverse API (omni.usd, omni.kit.app, omni.physx).
  • Solid understanding of USD (Universal Scene Description), including authoring modular scenes with references, payloads, variants, sublayers, and composition arcs.
  • Familiarity with robot kinematics concepts (forward/inverse kinematics, motion planning, joint control) and implementing them programmatically in a simulation environment.
  • Strong Python skills; comfort writing clean, maintainable, production-quality code.
  • Experience with physics simulation concepts (rigid body dynamics, contact/friction modeling, articulations).

Bonus Points For
  • Experience running Isaac Sim in headless mode for automated, script-driven simulation workflows, and with distributed or cloud-based simulation workloads.
  • Experience with cuRobo or similar GPU-accelerated motion generation libraries (CUDA-based trajectory optimization, batched IK), and motion planning frameworks like MoveIt2 or OMPL.
  • Familiarity with NVIDIA Replicator for synthetic data generation and domain randomization, OmniGraph for node-based compute, and Isaac Lab for RL-based training environments.
  • Experience with ROS/ROS2 and sensor simulation (cameras, depth, LiDAR), including real-to-sim workflows (photogrammetry, NeRF, CAD asset pipelines).
  • C++ experience relevant to simulation extensions or performance-critical tooling.


Compensation

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.

U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.

International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Expected Base Salary Range

$144,000-$240,000 USD

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