Summer Intern – Software Verification Engineer, AV/AI Platform

General Motors

. Execute functional bring-up and system integration on subsystem and system benches .

Posted 10/3/2026internshipWarren • Michigan • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong capabilities in system integration, automated testing, and data analysis, with proficiency in programming languages such as Python and C++. Collaborates effectively across multidisciplinary teams to ensure seamless integration of hardware and software systems.

Highest-signal resume keywords

Python ProgrammingC++ ProgrammingAutomated TestingSystem IntegrationData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingC++ ProgrammingEmbedded SystemsTest AutomationData AnalysisSimulationHardware-In-The-LoopSoftware-In-The-LoopDebuggingIntegration

Soft Skills

Problem-SolvingAnalytical SkillsWritten CommunicationVerbal CommunicationCollaboration

Tools & Technologies

HILSILTest BenchesCAN ProtocolLIN ProtocolEthernet ProtocolEmbedded LinuxReal-Time Systems

Industry Keywords

System IntegrationAutomated TestingVehicle NetworksAutonomous Vehicle SensorsSelf-Driving Technology

Tech Stack

Tools & technologies

LinuxPythonC++

About the role

Key responsibilities & impact

Execute functional bring-up and system integration on subsystem and system benches
Evaluate system interactions across compute platforms, ECUs, sensors, and vehicle software
Execute functional, performance, and validation tests using simulation, HIL, SIL, benches, and on-road fleets
Develop Python-based automation and supporting tools to improve testing efficiency and accelerate development cycles
Analyze test data, document results, consolidate findings, and support root-cause investigations
Support creation of datasets, scenario libraries, and automated test pipelines for HIL and SIL environments
Identify problem statements, outline effective solutions, and account for tradeoffs and edge cases
Participate in technical discussions, test planning, design reviews, and cross-functional problem-solving
Collaborate with software, hardware, systems, safety, and vehicle engineering teams to ensure seamless system integration
Communicate test results, technical findings, and recommendations clearly across multiple stakeholders

Requirements

What you’ll need

Currently enrolled in a full-time, degree-seeking program and pursuing a Bachelor’s or Master’s degree in computer science, electrical engineering, computer engineering, or a related STEM field
Must be graduating between December 2027 and August 2029 and have at least one additional quarter/semester of school remaining following the internship
Experience programming in C++, Python, or another object-oriented language
Strong interest in hardware, embedded systems, system integration, automated testing, or related areas
Strong problem-solving, analytical, written, and verbal communication skills
Ability to work collaboratively across software, hardware, systems, test, and safety teams
Availability to work full-time, 40 hours per week, during the 12-week summer internship period between May 24th–August 13th or June 14th–September 3rd, 2027
Preferred: software engineering experience through an internship, work experience, coding competition, student engineering team or competition, research, coursework, or personal project
Preferred: hands-on experience building, testing, debugging, or integrating hardware and software systems
Preferred: familiarity with CAN, LIN, or Ethernet communication protocols
Preferred: coursework or project experience involving Python, C/C++, embedded microcontrollers, or test automation
Preferred: basic understanding of embedded Linux, real-time systems, ECUs, sensors, or vehicle networks
Preferred: experience with simulation, hardware-in-the-loop, software-in-the-loop, test benches, or automated validation pipelines
Preferred: experience analyzing test data and communicating technical findings or root-cause investigations
Preferred: familiarity with autonomous vehicle sensors such as cameras, lidar, radar, or IMUs
Preferred: passion for self-driving technology and its potential impact

Benefits

Comp & perks

One-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program to help facilitate relocation benefits
Benefits and well-being support from day one, including resources supporting a rewarding career