Robotic Automation Developer

Role: Robotic Automation Developer

Location: Austin, TX 78753 (100% Onsite)

Job Description:

Skills:

Digital : Robotic Process Automation - Automation Anywhere

Digital : Python for Data Science

EIS : PLC Program Development on GE-Fanuc platform

Experience Required: 4-6

Must Have Technical/Functional Skills:

• 5+ years of experience developing advanced robotic simulation platforms, integrating Robotics, AI, PLC logic and manufacturing systems.
• Proven experience building simulations with 40+ robots with software-in-the-loop
• Experience designing simulation scenario language/framework to enable developers and non-developers in modeling realistic factory conditions.
• Proven experience with different physics engines including Isaac Sim, Open3DE, Gazebo, Mujoco.
• Experience architecting and deploying simulations onto multi-GPU infrastructure for automated pipelines both on-premises and cloud-based
• Proven experience integrating robots through ROS 2, Fanuc/Roboguide, or similar interfaces, with >500 ROS nodes, and >5000 ROS topics.
• Experience creating discrete-event simulations for path planning optimizations
• Experience in creating co-simulations of discrete-events with continuous physics-based simulations
• Experience simulating multiple robots and sensors in real time, with realistic LiDAR cameras and physics behavior
• Experience with 3D model development creating high fidelity maps
• Experience creating useful simulation metrics and dashboards for reviewing simulation outputs
• Experience with developing simulation interface that integrates diverse APIs and data formats
• Experience with database design to handle users, static and dynamic assets, layout and route representations, and simulation sessions

Roles & Responsibilities:

• Physics-based simulation of Autonomous Mobile Robots (AMRs) and Cobot cells
• Simulation-in-the loop testing of autonomy, perception, and control software
• Reusable abstractions of robot hardware, sensors and PLC simulation
• Scalable execution and orchestration of simulations for engineering validation, regression and scenario testing.
• Establishment of a reusable simulation capability delivered as an ongoing deep tech engineering service, aligned with GM ownership and long-term extensibility.
• checks.

Education

• Master s/bachelor s in computer science, AI, Robotics, or related field

Experience Range: 4 to 6 years