Senior Software Engineer, AV Platform Integration and Test

General Motors Africa & Middle East; Warren (MI); On-site; USD 110,000 - 160,000; Full time

Job summary

General Motors is seeking an ADAS/AV Platform Software Verification Engineer to shape, implement, and optimize system testing for the ADAS/AV software stack. You will drive scalable test design, diagnostics analysis, and environment automation across Linux/QNX-based platforms.

You will work with software infra, application, and hardware teams to create robust test cases, perform root-cause analyses, and ensure compliance with safety and automotive standards.

Qualifications

• Bachelor's degree in electronics, computer science, electrical engineering or related technical field.
• 6+ years of professional technical experience in software testing or verification.
• 3+ years in software verification and validation for automotive or embedded platforms.
• Strong programming in Python, CAPL, Vehicle Spy; experience with Robot Framework.

Responsibilities

• Design and develop scalable, high-coverage software testing for the ADAS/AV platform.
• Analyze diagnostics from a full-vehicle perspective to support triaging and debugging.
• Build and maintain HIL, SIL, and VIL testing environments.
• Ensure compliance with ISO 26262, SOTIF, FMVSS standards and improve test coverage.
• Create test automation frameworks and execute automated tests.
• Perform test result analysis and root-cause assessment (FMEA, Ishikawa).
• Collaborate with software infra, application teams, and hardware teams on testing.

Skills

Python programming

CAPL

Vehicle Spy

Robot Framework

CAN/Ethernet

QNX/Linux

ROS

Embedded programming

Education

Bachelor's degree in electronics, computer science or electrical engineering

Tools

Wireshark

CANoe/CANalyzer

INCA

RAD Galaxy RAD Gigastar

Job description

The Role:

At AV (Autonomous Vehicles) Software Organization within General Motors, we are working on developing cutting-edge ADAS and AV features for next-generation vehicles. As the ADAS/AV Platform Software Verification Engineer, you will play a crucial role in defining, implementing, and optimizing system testing to ensure the quality, safety, and reliability of the ADAS platform software.

Responsibilities:

• Design and develop scalable, high-coverage software testing for the ADAS/AV platform.
• Analyze diagnostics from a full-vehicle perspective to support efficient triaging and debugging related to ADAS/AV Platform Software.
• Build and Maintain hardware-in-the-loop (HIL), software-in-the-loop (SIL), and vehicle-in-the-loop (VIL) testing environments.
• Ensure compliance with legal standards and safety requirements, including ISO 26262, SOTIF, FMVSS 111, and FMVSS 127, while improving test coverage and metrics.
• Collaborate with Software Infra and application teams to develop new test cases, leveraging expertise in Service-Oriented Architecture, Middleware communication (Pub Sub/DDS/Subspace), diagnostics, Linux and QNX.
• Work closely with Software Development and Hardware teams to debug and root-cause issues within Linux/QNX-based ADAS/AV Platform Software.
• Create Test automation frameworks, develop test scripts, and execute automated tests to enhance validation efficiency.
• Conduct and assist with test result analysis, including FMEA, Root Cause Analysis (Ishikawa/Fishbone Analysis, A-B-A Testing).
• Assist in issue triaging, log analysis, and troubleshooting ADAS/AV Platform issues.

Required Qualifications:

• Bachelor's degree in electronics, computer science, electrical engineering or a related technical degree
• Minimum of 6 years of professional technical experience
• Minimum of 3 years of working experience in Software Verification and Validation.
• Strong Programming skills in Python, CAPL, Vehicle Spy and Robot Framework.
• Good understanding of Vehicle networks like CAN and Ethernet.
• Knowledge of network analysis and debugging tools, Ex: Wireshark, CANoe/CANalyzer, INCA, RAD Galaxy RAD Gigastar.
• Ability to understand the requirements and transfer that into Test Scenarios, Situations / Tests, or testable scripts to be used in vehicle simulation environments.
• Flexible, dependable, self-initiative, and capable of learning new skills and technologies.
• Possess a valid driver's license and the ability to operate test vehicles.

Preferred Qualifications:

• Must have hands-on Experience with QNX or Linux based software systems and Embedded programming.
• Knowledge in ROS, Linux-based embedded systems, and RTOS environments.
• Excellent cross-collaboration and critical problem-solving skills.
• Experience in Unified Diagnostic Services (ISO 14229), TCP and UDP .
• Knowledge of automotive communication protocols (Ethernet, DDS, CAN, SOME/IP)

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