Robotics & Simulation Engineer, Discovery

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

We are seeking a Robotics & Simulation Engineer to own the simulation infrastructure, training pipelines, and deployment tooling that underpin our autonomous robotic systems. You will build and maintain the environments our RL and IL engineers train in, the telemetry systems that diagnose real-world failures, and the safety systems that protect operators and hardware during development and deployment.

WHAT YOU’LL DO

• Own and scale simulation environments for RL training (Isaac Gym, Isaac Lab, MuJoCo), including terrain generation, articulated object models, and domain randomization configurations
• Build and maintain the training-to-deployment pipeline: 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: software e-stops, joint limit monitors, fall detection interlocks, and operator alert systems
• Build Isaac Sim environments for tasks requiring articulated objects (vehicle models, doors, mechanical assemblies)
• Optimize training infrastructure for GPU cluster utilization and iteration speed
• Maintain robot URDF/MJCF models and ensure fidelity between sim and real

REQUIRED QUALIFICATIONS

• 3+ years of experience in robotics simulation, robot software infrastructure, or ML training infrastructure
• Experience with physics simulation tools: NVIDIA Isaac Gym/Lab, MuJoCo, PhysX, or PyBullet
• Strong software engineering skills in Python; experience with C++ 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

PREFERRED QUALIFICATIONS

• Include nice-to-have job qualifications with up to 6 bullet points
• Experience with NVIDIA Isaac Sim / Omniverse
• Experience with distributed training infrastructure or cluster management
• Prior work deploying ML models or control policies to real-world robotic systems
• Familiarity with ROS2, robot middleware, or real-time systems
• Prior work in defense technology