Engineer / Senior Engineer - Autonomous Tech - Simulation Engineer

Description
Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or other frequency dictated by the business.
The Role
Engineer - Autonomous Simulation will Drive innovation in Simulating and deploying Autonomous equipments for Facilities. Execute simulation to deployment of material handling and assembly operations equipments that function autonomously in factories.
What You'll Do

• Focus on Simulation, testing and Deployment of Models for vision, manipulators and navigation of AMR and autonomous vehicles
• Involves development and deployment of AMR's, Physical AI devices and Autonomous vehicles.
• Collaborate with stakeholders to understand business problems in the Autonomous vehicles for facilities and industrial application
• Evaluate, validate, and benchmark hardware and software performance using appropriate metrics.
• Establish monitoring and maintenance processes to ensure model accuracy over time.
• Ensure that all solutions comply with organizational data security, confidentiality, and regulatory requirements.

• Document workflows, results, and lessons learned for organizational knowledge sharing.
• Stay updated on advancements in autonomous vehicles and Physical AI tech Stack

Your Skills & Abilities (Required Qualifications)

• Bachelor's or Masters Degree in Electrical/ Electonics & Communication/ Mechanical /Automobile /Mechatronics Engineering discipline or similar
• 2+ years in designing, deploying and testing of autonomous vehicles for industrial applications
• Should have completed at least 2 deployments of Autonomous vehicles for industrial use
• Knowledge of actuators, perception sensors, Robots/Cobots, LIDARS and industrial control devices
• Proficiency in Computer Vision tools: OpenCV, PyTorch/TensorFlow, object detection/recognition.
• Proficiency in Simulation platforms like Isaac Sim, Isaac Lab and MuJoCo
• Experience working with Sensor Fusion: LiDAR + camera + IMU integration (Kalman/Particle filters).
• Experience in SLAM (Simultaneous Localization and Mapping) for navigation and Neural networks for pose estimation & gesture recognition.
• Experience in Edge AI deployment (NVIDIA Jetson, Intel Movidius).
• Strong skills in C++, Python (real-time systems), ROS/ROS2 (Robot Operating System)
• Exposure to Physical AI, Isaac Groot

What Will Give You A Competitive Edge (Preferred Qualifications)

• Experience in control of actuators, perception sensors, Robots/Cobots, LIDARS and industrial control devices
• Exposure to AMR Design, working and fleet management
• Strong problem-solving and analytical mindset.
• Strong problem-solving mindset and curiosity for autonomous vehicles
• Ability to translate domain problems into solutions.
• Collaboration skills to work with cross-functional teams.
• Clear communication of technical concepts to non-technical stakeholders.

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
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