2027 Summer Intern – Research and Development – Vehicle Health Management

Location: Hybrid in Warren, Michigan; report to the site at least three times per week. The candidate must be a U.S. Person and the role is subject to export control restrictions.

Company

hirify.global develops automotive technologies focused on safer, more efficient, and more connected vehicle ownership.

What you will do

• Generate ideas for Vehicle Health Management using physics-based, data-driven, and AI-based modeling.
• Develop technologies for vehicle-system diagnosis, prognosis, fault-tolerant controls, and integration.
• Create and execute research plans covering concepts, prototypes, system implementation, and performance evaluation.
• Transform vehicle engineering data into insights that predict system issues and identify root causes.
• Document and present research results.

Requirements

• Must be a current student pursuing a Master’s or PhD in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Artificial Intelligence, or a related field.
• Must be able to work full-time, 40 hours per week during the summer months.
• Background in fault detection and isolation, diagnostics and prognostics, and root-cause analysis.
• Understanding of AI/ML workflows, including data preparation, model training and deployment, performance evaluation, and monitoring.
• Experience with Python, including ML frameworks such as PyTorch or TensorFlow, as well as PySpark and MATLAB/Simulink.
• Effective verbal and written communication skills.
• Ability to work independently and in teams.
• Must be a U.S. Person: U.S. citizen, U.S. permanent resident, asylee, or refugee.
• GM does not provide immigration-related sponsorship; candidates requiring current or future sponsorship, including H-1B, OPT, STEM OPT, CPT, TN, or J-1 support, should not apply.

Nice to have

• Internship experience in automotive, technology, or manufacturing.
• Strong critical-thinking and analytical skills for synthesizing large, multivariable datasets into actionable insights.
• Theoretical and experimental skills in controls, optimization, or signal processing.
• Experience with deep learning, large language models, causal AI, reinforcement learning, foundation models, or physics-informed machine learning.

Culture & Benefits

• Hybrid work arrangement with a minimum of three weekly days at the Warren, Michigan site.
• Full-time summer internship with start dates of May 24 or June 14, 2027.
• Work focused on connected vehicles, advanced AI, and technologies used across millions of vehicles.
• Employee benefits and total rewards supporting well-being at work and at home.
• Inclusive workplace committed to equal employment opportunity and belonging.

Hiring process

• Applicants may be required to complete role-related assessments and/or pre-employment screening before starting.