2027 Summer Intern – AI & Hardware Analytics, ADPT

General Motors (GM); Warren (MI); Presencial; USD 90 000 - 97 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Monthly stipend (GM Student Program)

Paid GM holidays

Resumo da oferta

General Motors (GM) is offering an on-site internship in Warren, Michigan, to support AI and hardware data-driven improvements in Automated Driving Production Technology. The role focuses on data analysis, process optimization, automation, and analytics tool development.

You will collaborate across engineering, manufacturing, quality, testing, and operations teams and present results to technical leaders. Eligible students pursuing STEM degrees between Dec 2027 and Jun 2028 will be considered.

Qualificações

• Working toward a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Manufacturing or Mechanical Engineering.
• Coursework or project experience in Python, SQL, MATLAB, statistics, data visualization, or machine learning.
• Able to work full-time, 40 hours per week.
• Experience with Python libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow is preferred.
• Familiarity with Power BI, Tableau, time-series analysis, anomaly detection, predictive maintenance, statistical process control, optimization, or DOE is a plus.

Responsabilidades

• Analyze production, quality, equipment, test, and operational data to identify trends, bottlenecks, variation, and improvement opportunities.
• Develop data pipelines, analytical models, and automated workflows for engineering and production teams.
• Create dashboards, reports, and visualizations that support technical and operational decisions.
• Document methods, assumptions, findings, and recommendations.
• Present results clearly to engineers, technical leaders, and cross-functional stakeholders.

Conhecimentos

Python

SQL

Statistics

Data visualization

Machine learning

Formação académica

Data Science / Computer Science / Statistics / Industrial Engineering / Manufacturing Engineering / Electrical Engineering / Mechanical Engineering

Ferramentas

pandas

NumPy

scikit-learn

PyTorch

TensorFlow

Power BI

Tableau

Descrição da oferta de emprego

Job DescriptionGM 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.)To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.Work Arrangement:On-Site: This internship is categorized as on-site. The selected intern is expected to report to the office 5 days a week.Locations:Warren, MIMilford, MIAbout the Team:The Automated Driving Production Technology Team develops and improves the production technologies, hardware processes, and analytical capabilities that support automated driving systems. We work across engineering, manufacturing, quality, testing, and operations to improve efficiency, scalability, reliability, and performance.Our team combines expertise in hardware systems, production technology, data science, artificial intelligence, process engineering, and analytics to deliver data-driven improvements to production processes and engineering productivity.What You Will Do:We are hiring an intern to support AI and hardware process efficiency initiatives through data analysis, process optimization, automation, and analytical tool development.AI and Data ScienceAnalyze production, quality, equipment, test, and operational data to identify trends, bottlenecks, variation, and improvement opportunities.Apply statistical analysis, machine learning, anomaly detection, and other AI techniques to support predictive insights and process optimization.Develop data pipelines, analytical models, and automated workflows for engineering and production teams.Hardware and Process EfficiencyEvaluate process performance using metrics such as cycle time, throughput, first-pass yield, downtime, capacity utilization, and defect rates.Support root-cause investigations by connecting process conditions, equipment signals, test results, and quality outcomes.Measure the impact of process changes and recommend improvements that reduce manual effort, improve throughput, or increase quality.Analytics and CommunicationCreate dashboards, reports, and visualizations that support technical and operational decisions.Document methods, assumptions, findings, and recommendations.Present results clearly to engineers, technical leaders, and cross-functional stakeholders.Required Qualifications:Working toward a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Mechanical Engineering, or a related field.Coursework or project experience in Python, SQL, MATLAB, statistics, data visualization, or machine learning.Able to work full-time, 40 hours per week.Preferred Qualifications:Experience with Python libraries or tools such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.Familiarity with Power BI, Tableau, time-series analysis, anomaly detection, predictive maintenance, statistical process control, optimization, or design of experiments.Basic understanding of manufacturing, hardware development, robotics, automated testing, embedded systems, or production operations.Must be graduating between December 2027 and June 2028Intent to return to degree program after the completion of the internship.Compensation:The monthly salary range for this role is $8,100 – $8,700 per monthGM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program.What you’ll get from us (Benefits):Paid US GM HolidaysGM Family First Vehicle Discount ProgramResult-based potential for growth within GMIntern events to network with company leaders and peersAbout GMOur 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 UsWe 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 to feel they belong to one General Motors team.Benefits OverviewFrom 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 .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.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 .AccommodationsGeneral 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 or call us at 1-800-865-7580. 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.