Staff Simulation Engineer: Core Platform & Large-Scale RL

Apptronik; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Apptronik in Austin, TX seeks a Staff Simulation Engineer for the Core Simulation Platform to advance high-performance digital twins used for policy training, controls validation, and CI/CD testing. You will apply strong C++/Python skills, robotics fundamentals, and modern simulator experience to keep the platform robust and scalable.

The role demands experience with parallel simulations on cloud platforms (AWS/GCP/Azure), RL exposure, and collaboration across Controls, AI Research, and

Qualifications

• Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or related field (or equivalent experience).
• 5+ years of experience in robotic simulation, software engineering, or related fields.

Responsibilities

• Contribute to architecture and development of the core simulation platform for high-performance digital twins.
• Build and scale cloud-native simulation pipelines generating millions of experience hours per day.
• Improve sim-to-real transfer with advanced contact models and actuator dynamics.
• Develop sensor-realistic environments (camera, LiDAR, depth).
• Ship platform improvements that reduce iteration time for RL, controls, and perception teams.
• Collaborate with Controls, AI Research, and Perception teams to support simulation needs.

Skills

C++ programming

Python programming

CI/CD

Automated testing

Code quality

Kinematics

Dynamics

Controls

System identification

Isaac Lab

MuJoCo

Reinforcement Learning

AWS

GCP

Azure

Ray

Kubernetes

Education

Master’s or PhD in CS/Robotics/EE

Tools

Isaac Lab

MuJoCo

AWS

GCP

Azure

Ray

Kubernetes

Job description

Apptronik in Austin, TX seeks a Staff Simulation Engineer for the Core Simulation Platform to advance high-performance digital twins used for policy training, controls validation, and CI/CD testing. You will apply strong C++/Python skills, robotics fundamentals, and modern simulator experience to keep the platform robust and scalable.

The role demands experience with parallel simulations on cloud platforms (AWS/GCP/Azure), RL exposure, and collaboration across Controls, AI Research, and