Robotics & Simulation Engineer, Discovery

2 weeks, 3 days ago
Full-time
Mid Level
Artificial Intelligence and Machine Learning
Anduril Industries

Anduril Industries

Anduril Industries is an American defense technology firm that specializes in developing advanced autonomous systems for integrated awareness and security across land, sea, and air, utilizing its proprietary Lattice platform to enhance intelligence, su...

Aerospace & Defense
1K-5K
Founded 2017
$2200M raised

Description

  • Own and scale simulation environments for RL training, including terrain generation, articulated object models, and domain randomization configurations.
  • Build and maintain the training-to-deployment pipeline, including model export, validation, on-robot inference, and rollback.
  • Develop telemetry and diagnostics tooling for real-time monitoring of robot state, policy performance, and anomaly detection during field testing.
  • Design and implement safety systems such as software e-stops, joint limit monitors, fall detection interlocks, and operator alert systems.
  • Build Isaac Sim environments for tasks involving articulated objects such as vehicle models, doors, and mechanical assemblies.
  • Optimize training infrastructure for GPU cluster utilization and faster iteration speed.
  • Maintain robot URDF/MJCF models and ensure fidelity between simulation and real-world systems.

Requirements

  • 3+ years of experience in robotics simulation, robot software infrastructure, or ML training infrastructure.
  • Experience with physics simulation tools such as NVIDIA Isaac Gym/Lab, MuJoCo, PhysX, or PyBullet.
  • Strong software engineering skills in Python; C++ experience is a plus.
  • Experience with URDF/MJCF model creation and maintenance.
  • Working knowledge of dynamics, controls, and robotic systems.
  • Experience building developer tooling, dashboards, or monitoring systems.
  • Eligible to obtain and maintain a U.S. security clearance.
  • Experience with NVIDIA Isaac Sim or Omniverse is preferred.
  • Experience with distributed training infrastructure or cluster management is preferred.
  • Prior work deploying ML models or control policies to real-world robotic systems is preferred.
  • Familiarity with ROS2, robot middleware, or real-time systems is preferred.
  • Prior work in defense technology is preferred.

Benefits

  • US salary range of $146,000 to $194,000.
  • Highly competitive equity grants included in most full-time offers.
  • Comprehensive, competitive benefits package available at little to no cost to employees.
  • Support for health, recovery, and life beyond work.
  • Top-tier benefits for full-time employees.
  • Compensation may vary based on experience, education, training, critical skills, and business considerations.

Interested in this position?

Apply directly on the company website

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