Automotive Software Engineer Jobs (NOW HIRING)

Bachelor's degree in Computer Science or Electronics Engineering. Minimum 8+ years of experience in automotive software testing.

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

Profile : 

• 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