Lead Automotive Software Test Engineer
Role details
Job location
Tech stack
Job description
This position is focused on defining and leading testing strategies for AI-driven automotive software systems, ensuring performance, reliability, and safety of advanced in-vehicle technologies.
The role involves end-to-end validation strategy ownership, test architecture definition, and coordination of cross-functional testing activities within complex automotive environments.
The engineer will work closely with development, validation, and system engineering teams to ensure robust test coverage, high-quality deliverables, and continuous improvement of testing processes.
The position requires strong expertise in automotive testing environments, test automation, and validation frameworks, with a focus on intelligent vehicle systems.
Key Responsibilities :
- Test Strategy & Architecture
Define and lead end-to-end test strategies for AI-driven automotive software systems
Design validation approaches to ensure performance, reliability, and safety of vehicle technologies
Establish test coverage frameworks and ensure alignment with system requirements
Drive continuous improvement of testing methodologies and validation processes
- Automotive Testing & Validation Tools
Execute and oversee testing activities using industry-standard tools such as dSPACE, CANoe, CANape, DIVA, and OpenTest
Support integration of hardware-in-the-loop (HIL) and software-in-the-loop (SIL) environments when applicable
Ensure effective use of measurement and diagnostic tools for system validation
Support end-to-end validation across automotive software development lifecycle
- Test Automation & Scripting
Develop and maintain test automation scripts using JavaScript, Python, and CAPL
Support automation of diagnostic and validation workflows
Improve efficiency and repeatability of testing processes through scripting and tooling
Collaborate with engineering teams to integrate automated testing into development pipelines
- Data & Analytics in Testing
Support use of data pipelines and analytics tools for automotive software validation
Analyze test data to identify trends, defects, and system performance issues
Contribute to data-driven decision-making for validation and quality improvements
- Defect Management & Quality Improvement
Track and analyze defects using structured metrics and reporting systems
Support root cause analysis and resolution of complex technical issues
Drive continuous improvement initiatives based on test results and quality indicators
- Cross-Functional Collaboration & Coordination
Collaborate with software, system, and validation engineering teams
Coordinate testing activities across multidisciplinary teams and stakeholders
Clarify responsibilities and ensure alignment across testing and development efforts
Build strong internal networks to support alignment and execution success
- Communication & Reporting
Communicate test results, validation status, and technical findings clearly to stakeholders
Prepare technical documentation, reports, and test summaries
Present complex technical concepts in a clear and structured manner
Support decision-making through accurate and timely reporting
Requirements
Do you have experience in Software troubleshooting?, Do you have a Bachelor's degree?, Bachelor's degree in Computer Science or Electronics Engineering. Minimum 8+ years of experience in automotive software testing., * Experienced automotive test engineer with strong background in software testing and validation
- Comfortable working in complex, cross-functional, and safety-critical environments
- Strong analytical mindset with demonstrated problem-solving capabilities
- Self-driven, organized, and capable of managing multiple priorities effectively
- Strong communicator with ability to align stakeholders and drive collaboration
Must Have :
- 8+ years of experience in automotive software testing
- Bachelor's degree in Computer Science or Electronics Engineering
- Hands-on experience with testing tools (dSPACE, CANoe, CANape, DIVA, OpenTest)
- Strong programming/scripting skills in JavaScript, Python, and/or CAPL
- Strong understanding of test coverage analysis and defect tracking metrics
- Experience working in cross-functional automotive environments
- Strong analytical, troubleshooting, and problem-solving skills
- Good communication and coordination abilities across teams
- Experience in test automation and validation processes
Good to Have :
- ISTQB or IREB certification
- Experience with AI-driven or autonomous vehicle systems
- Knowledge of data pipelines and automotive analytics tools
- Experience with HIL/SIL environments
- Exposure to automotive safety or compliance standards (functional safety, ISO, etc.)
- Experience in large-scale OEM or Tier 1 automotive environments
Benefits & conditions
Pulled from the full job description
- Opportunities for advancement