Description
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 people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.. The Role We are seeking a highly motivated and talented Researcher with expertise and experience in software systems and Artificial Intelligence (ML)/Machine Learning (ML). As an AI and Software Systems Researcher, you will be responsible for designing and developing AI/ML-based proof-of-concept solutions throughout the software systems engineering lifecycle. What You'll Do Conduct research and analysis in software systems, system engineering, AI, and ML to identify emerging trends, technologies, and best practices. Understand existing software development processes and tools in the enterprise for Level 2+ systems and identify opportunities to leverage AI/ML technologies. Utilize recent advancements in Generative AI, such as Large Language Models (LLMs), Multi-modal Models, and Agentic AI framework, to develop impactful applications for the enterprise. Collaborate with cross-functional teams to define research objectives, develop research plans, execute projects, and facilitate technology transfer. Contribute to GM R&D through the generation of new intellectual property and internal/external publications. Facilitate technology transfer by actively participating in inter-organizational teams. Collaborate with external partners, universities, and research institutions to foster innovation and drive collaborative research initiatives. Your Skills & Abilities (Required Qualifications) U.S. citizenship required pursuant to government contract. MS Degree in Computer Science, Electrical Engineering, Mathematics, or a related STEM field. Strong background and research experience in AI/ML, specifically Generative AI and computer vision, as well as software engineering. Proficiency in programming languages such as Python or C++. Hands-on experience with AI/ML and data analytics frameworks and libraries, such as Azure OpenAI, TensorFlow, and PyTorch. Hands-on experience with AI/ML development lifecycle, such as dataset preparation, training, fine-tuning, testing, and optimization of AI/ML models. Strong publication record in reputed conferences, such as ICSE, CVPR, ICCV, and ECCV. Excellent problem solving and analytical skills. Strong written and verbal communication skills. Ability to work independently and collaboratively in a team-oriented environment. What will Give You A Competitive Edge (Preferred Qualifications) PhD in Computer Science, Electrical Engineering, Mathematics, or a related STEM field. 3-5 years hands-on experience with AI/ML and data analytics frameworks and libraries, such as Azure OpenAI, TensorFlow, and PyTorch. This position requires eligibility to access classified information at the Confidential U.S. Security Clearance level for which the U.S. Government requires U.S. Citizenship. The successful candidate must have eligibility to access classified information at that level.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel
