General Motors Summer 2026 Internship (ML Validation) – High Paying PhD Role (Apply Now!)

Job Title: General Motors Summer 2026 Internship (ML Validation) – High Paying PhD Role (Apply Now!)
📍 Location: Mountain View, CA, US (Hybrid Work Model)
💼 Employment Type: INTERN
🏠 Work Mode: Hybrid
🔀 Hybrid Position: This position offers hybrid work model (combination of office and remote work). Office location: Mountain View, CA
💰 Salary/Stipend: CAD $9,200 - $12,300 per Month per year
📝 Description:

General Motors (GM) is currently accepting applications for its prestigious 2026 Summer Internship Program within the Autonomous Vehicle (AV) organization. The company is seeking a Software Engineer - Machine Learning Validation to join their team in Mountain View or Sunnyvale, California.

This is a high-level internship designed for PhD or Master's students deeply involved in Machine Learning and Simulation. The compensation is exceptional, with a monthly salary ranging from $9,200 to $12,300. If you are researching AI validation, deep learning, or computer vision, this is a chance to shape the future of self-driving cars.

Internship Overview & Key Details

Detail Information
Company General Motors (AV Organization)
Role Software Engineer, ML Validation (PhD)
Location Mountain View / Sunnyvale, CA (Hybrid)
Monthly Pay $9,200 - $12,300 per Month
Start Date Summer 2026
Eligibility PhD or Master's Students (No Visa Sponsorship)

Role Responsibilities: What Will You Do?

As an ML Validation Engineer, you will work on unlocking software launches for autonomous vehicles. You won't just be testing; you will be designing the frameworks that verify safety. Your core responsibilities will include:

  • Framework Design: You will enhance AI/ML validation frameworks and tools specifically for autonomous vehicle software systems.
  • Pipeline Automation: You will design and implement automated testing pipelines for both simulation-based and real-world validation scenarios.
  • Edge Case Analysis: You will build tools using ML and statistical methods to identify "edge cases" (rare but critical driving scenarios) and failure modes.
  • Data Analysis: You will analyze large-scale driving data to find gaps in validation and improve testing coverage.

Eligibility and Mandatory Requirements

This is a highly technical role with strict eligibility rules regarding education and work authorization.

Mandatory Qualifications

  • Education: You must be currently enrolled in a PhD program or a Master’s program (with at least one year completed) in Computer Science, Machine Learning, Engineering, or a related field.
  • Coding Skills: Proficiency in Python, SQL, or C/C++ is required.
  • Work Authorization: CRITICAL: GM does NOT provide sponsorship for this role. This includes CPT, OPT, or STEM OPT. You must have unrestricted work authorization in the US.

Preferred Qualifications

  • Graduating between December 2026 and August 2027.
  • Research experience in Simulation, AI Validation, Deep Learning, or Reinforcement Learning.
  • Experience with big data tools like Hadoop, Hbase, or MapReduce is a plus.

Benefits of Joining GM

GM treats its PhD interns like full-time researchers. Compensation: A massive monthly salary of up to $12,300. Perks: A one-time lump sum stipend, paid holidays, and access to the "GM Family First" vehicle discount program. Growth: Networking events with company leaders and result-based potential for future growth.

How to Apply

Applications for the Summer 2026 program are open. Interested candidates should apply via the official General Motors careers page. Ensure your resume highlights your research papers, coding competitions, or relevant internships.

Official Application Link: Click Here to Apply for GM ML Validation Internship

🎓 Qualification Required: Graduating between December 2026 and August 2027
💼 Experience Required: 0-1
📅 Posted On: 2025-12-01 (IST)
⏰ Valid Through: 2026-01-30 (IST)
🆔 ID: INT-20251201022604-4959
Apply Now