Address
Form of workDescription
Work Arrangement
Hybrid – This role requires the employee to be onsite an average of three days per week
The Role
As a valued Staff Researcher with the Research and Development team here at GM, you will innovate through next-gen ideas, suggest new project areas, and establish technical plans. You will conduct research and/or experiments to collect required data and validate research ideas in developing advanced mathematical modeling and optimization approaches and build real-time, decision support tools that enable GM’s plants to meet efficiency and quality goals. Staff researchers are expected to counsel GM engineering management on process improvements and provide leadership in GM programs and/or projects.
Importantly, also represent GM in research activities with academic collaborators and other external technical organizations. Consequently, it is necessary to write timely and high-quality research reports, external publications, and records of invention to detail new insights and research results. You will be an integral member of GM’s Manufacturing Systems and Controls research team contributing to the development of novel algorithms, models, tools, and methods that can be implemented in current or future manufacturing plants. You also need to have a strong background and experience in Manufacturing Systems and process design, smart manufacturing, digital twins, statistics, quality management, control systems, and AI/ML.
What You Will Do:
- Develop advanced math models & simulation techniques for GM's manufacturing processes such as in the area of Smart Manufacturing and building Digital Twins
- Generate new concepts and ideas while conducting research programs that apply the latest AI/ML tools
- Drive technical assignments in a resourceful and timely manner with minimal supervision
- Work well with fellow researchers, centers, operational groups, plant personnel and universities.
- Maintain state-of-art technical skills and knowledge
- Develop working relationships with internal and external subject matter experts
- Effectively communicate and detail results through internal and external publication
- Collaborate with global technical teams and lead technical discussions as an expert in manufacturing AI/ML
Additional Description
Your Skills & Abilities (Required Qualifications)
- 3-5+ years relevant experience in the field of Manufacturing Systems and processes
- Advanced degree from top-tier research institutions in science/engineering fields (electrical/mechanical/computer/industrial & systems engineering; applied mathematics/statistics/physics; operations research)
- Background in manufacturing process modeling, design, control, and optimization
- Manufacturing engineering theory and principles of production management & operations
- Proven record of high impact publications in peer-reviewed conferences/journals
- In-depth knowledge of scientific principles and pioneering research methodologies and tools related to:
- Smart Manufacturing, Digital Twins, AI/ML, Big data, Modeling and optimization
What Will Give You a Competitive Advantage (Preferred Qualifications)
- PhD in relevant field of study
- 0-6 years of research experience beyond PhD. (university, research institution, or industrial research)
- Extensive track record of successful manufacturing implemetations
- Proficient in data manipulation, analysis, and visualization
- Structured database design and integration experience along with programming skills (e.g. SQL, C++, Python, R, Matlab)
- Familiarity with AI tools: Scikit Learn, Tensorflow, Keras, PyTorch
- Manufacturing engineering experience: general manufacturing processes, quality management, production planning, scheduling, shop floor control, lean manufacturing
- Ability to collaborate with technical experts from suppliers, academia, gov't labs, etc.
- Other: machine vision systems, process monitoring, sensing, and control, simulations, hardware/software for PLC and PC-based machine controls, and human-machine interface design for manufacturing applications
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 aspire to be the most inclusive company in the world. 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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Diversity Information
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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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 us Careers.Accommodations@GM.com or call us at 800-865-7580. 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.
