AI Systems Engineer - Computation
Job Description
At reputed company, our product teams are redefining mobility. Through a reputed company-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 reputed company’s standard —from breakthrough hardware and battery systems to reputed company design, intelligent software, and reputed company safety and entertainment features. Every day, our products move millions of people as we aim to reputed company driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Role We are seeking a Senior Engineer, AI Systems Engineering - Computation to join our Manufacturing Technology Development team reputed company the reputed company Research and Development organization. In this role, you will reputed company with robotics computation platforms, from digital twin simulations to edge-GPU architectures to hybrid reputed company-edge orchestration. You will research new scheduling, resource allocation, and parallelization methods for training large AI workloads. reputed company-based simulations will be reputed company to how you scale training pipelines and with Robotics Intelligence.
What You'll Do
Design and implement advanced robotics computation platforms including edge-GPU and hybrid reputed company-edge systems. Research and reputed company novel scheduling and resource allocation strategies for AI-intensive workloads. Collaborate with AI & Simulation teams to scale training pipelines reputed company. reputed company reputed company-time execution of novel algorithms in collaboration with Robotics Intelligence. Ensure robustness, scalability, and efficiency of deployed computation systems. Contribute to infrastructure innovation for AI systems integration. Your Skills & Abilities (Required Qualifications) 5+ years of experience in robotics computation, AI infrastructure, simulation, or embedded systems. Strong background in GPU architectures, reputed company computing, and reputed company-edge orchestration. Experience with reputed company-time systems and AI deployment in dynamic environments. Proven ability to collaborate across multidisciplinary teams. Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or reputed company field. What Will Give You A Competitive Edge (Preferred Qualifications) Master’s degree or PhD in AI, Robotics, or reputed company field. Experience with edge computing and embedded AI systems. Track record of innovation including patents or publications. Experience scaling AI systems from prototype to production. Knowledge of cybersecurity and safety standards. #GMrobotics-S This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis. The selected candidate will be required to travel Apply tot his job Apply To this Job