Senior Software, AV Platform Core Test

generalmotors; Sunnyvale (CA); Hybrid; USD 153,000 - 234,000; Full time

Benefits offered by this job

Health and wellbeing benefits

Tuition assistance

GM vehicle discounts

Paid vacation & holidays

Retirement savings plan

Job summary

General Motors AV Software Organization in Sunnyvale, CA is seeking an ADAS/AV Platform Senior Software Verification Engineer to define, implement, and optimize system testing for the ADAS platform.

You will design high-coverage test strategies, build HIL/SIL/VIL environments, and ensure compliance with ISO 26262 and industry standards while collaborating with software/hardware teams to drive quality and safety throughout vehicle development.

Qualifications

• Bachelor's degree or equivalent in electronics, CS, EE, or related field.
• 6+ years of professional technical experience.
• 3+ years in Software Verification and Validation.
• Strong programming in Python, CAPL, Vehicle Spy and Robot Framework.
• Good understanding of CAN and Ethernet networks.
• Knowledge of diagnostic tools like Wireshark, CANoe/CANalyzer, INCA, RAD Galaxy.
• Ability to translate requirements into test scenarios or scripts for vehicle simulations.
• Flexible, dependable, self-initiative, quick to learn new skills.
• Must have a valid driver’s license to operate test vehicles.

Responsibilities

• Design and develop scalable, high-coverage testing for the ADAS/AV platform.
• Analyze diagnostics from a full-vehicle perspective for triaging and debugging.
• Build and maintain HIL, SIL, and VIL testing environments.
• Ensure compliance with ISO 26262, SOTIF, FMVSS 111, and FMVSS 127.
• Collaborate with Software Infra and application teams on test cases.
• Work with software and hardware teams to debug Linux/QNX ADAS/AV software.
• Create test automation frameworks and scripts.
• Conduct test result analysis including FMEA and root-cause analysis.
• Assist in issue triaging, log analysis, and troubleshooting.

Skills

Python

CAPL

Vehicle Spy

Robot Framework

Education

Bachelor's degree in electronics, computer science, electrical engineering, a related technical degree, or work equivalent experience

Tools

Wireshark

CANoe/CANalyzer

INCA

RAD Galaxy

Job description

Job Description

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 Senior 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, a related technical degree, or work equivalent experience.

• 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)

Compensation

: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this roleis$153,200- $234,100.The actual base salarya successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentivepayprogram offers payouts based on company performance, job level, and individual performance.

Benefits

• Benefits: GM offers a variety of health and wellbeing benefit programs.Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or