Staff AI Engineer: Vision & ML Systems Lead

Job Description The Role The Staff Software Engineer ? Artificial Intelligence is responsible for supporting and reinforcing the adoption of AI Software Engineering across the Manufacturing IT organization with the goal of establishing significant improvements in the Manufacturing space relative to manufacturing productivity and efficiency. The position will drive the identification, evaluation, and adoption of rapid, iterative, and incremental computer vision, machine learning, and deep learning software solutions together with Junior and Principal AI Engineers and our Manufacturing Engineering business partners. We Are Looking for a Staff Software Engineer ? Artificial Intelligence Who: Has a strong drive for excellence Challenges themselves and their peers Thrives in collaborative, cross-functional environments Demonstrates a strong work ethic Has a strong ability and willingness to learn Excels in data science and deep learning Desires to deliver innovative solutions to complex problems Leads and generates technical solutions, including specifying requirements, functional decomposition, analysis, development, and testing for current, new, and major programs Performs complex design analysis Specifies and balances system requirements Provides, communicates, and supports common best practices within the software community What You'll Do: Define and drive adoption of GM Manufacturing AI capabilities Identify opportunities to enhance and streamline current AI and GM Robotics Engineering processes in collaboration with Manufacturing Engineering SMEs Design and develop ML solutions for real-world environments Develop and implement computer vision solutions in real-world applications Interpret research artifacts and translate them into deployable solutions Conduct simulation activities Develop data visualization solutions Design scalable solutions that minimize operational overhead Ensure end-to-end system and interface understanding so solutions fit within architectural constraints Your Skills & Abilities (Required Qualifications): Master's degree in Computer Engineering or Data Science In‑depth knowledge and experience in software development Extensive experience designing, training, testing, and deploying deep learning models for vision applications In‑depth experience with PyTorch, TensorFlow, and/or Keras 8+ years of software engineering experience 6+ years of AI, ML, and/or data science experience In‑depth experience with Ops, MLOps, and/or LLMOps 4+ years of deep learning vision experience What Will Give You A Competitive Edge (Preferred Qualifications): PhD Publications In‑depth knowledge of ML fundamentals Demonstrated experience developing and deploying ML solutions for real-world applications Experience with cloud technologies such as Docker, Kubernetes (K8), and HPC platforms Knowledge of Java/C#, Python, SQL, and C/C+? Strong analytical skills and the ability to think outside the box Compensation The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is 160,200 to 333,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Relocation Benefits This job may be eligible for relocation benefits. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (View email address on click.appcast.io) us or call us at View phone number on click.appcast.io. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. 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