Senior Perception Engineer

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale. Senior Software Engineer – Environmental Perception Robotics Technology Development Work Arrangement Onsite - This position requires the employee to be onsite full-time. The primary work location will be at the General Motors Global Technical Center in Warren, MI. The Role We are seeking a visionary Senior Software Engineer to lead the development of environmental perception models —large-scale, multi-modal AI systems that enable generalizable perception, planning, and manipulation capabilities across diverse robotic platforms. This role is central to our mission at GM’s manufacturing technology development team together with teams at Autonomous Robotics Center to revolutionize manufacturing automation through cutting‑edge AI and robotics. You will spearhead research into scalable, adaptable models that unify vision, language, and action, enabling robots to understand and interact with complex environments using open‑vocabulary reasoning, spatial awareness, and whole‑body control. Your work will directly influence the next generation of intelligent robotic systems deployed across GM’s global operations. What You’ll Do Environmental Perception models that integrate perception pipelines, reinforcement learning, and sim2real adaptation. Design robust training pipelines with high-quality, traceable data for large-scale model development Validate models in simulation and real‑world embodiments , iterating on performance across diverse tasks and environments Collaborate across disciplines , integrating your models with hardware teams and contributing to ARC’s technical strategy Publish and patent breakthrough research in robotics and AI Your Skills & Abilities (Required Skills) BS degree in Computer Science, Robotics, or related field 3+ years of experience in machine learning for perception and autonomy Deep understanding of perception models, LLMs, ViTs, and multi-modal architectures Proficiency in Python/C++ and ML frameworks like PyTorch, TensorFlow Familiarity with 3D vision, graphics pipelines, and robotic data modalities What Will Give You a Competitive Edge (Preferred Qualifications) Hands‑on experience with robotic systems and frameworks (ROS/ROS2, MoveIt, Nav2) Experience in industrial automation, autonomous vehicles, or ADAS Knowledge of CI/CD and modern software development practices PhD with publications in top‑tier venues (e.g., NeurIPS, CVPR, ICRA) #J-18808-Ljbffr General Motors