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We are seeking an Embedded Software Test Lead to support a global automotive client in advanced research and prototype development. This role focuses on AI-driven vehicle technologies, embedded systems, and next-generation automotive platforms.

The ideal candidate brings a strong background in automotive software validation, thrives in ambiguous and research-oriented environments, and has a proven ability to develop test strategies for emerging technologies. This position will lead validation efforts across multiple concurrent projects while remaining hands-on in testing and automation.

Key Responsibilities

• Lead test strategy development and validation activities across multiple automotive software and prototype projects
• Define test approaches and methodologies for new and emerging vehicle technologies
• Perform software, embedded, integration, regression, and edge-device testing
• Support proof-of-concept (POC) and research-driven validation initiatives
• Capture, analyze, and interpret CAN logs and vehicle communication data
• Develop and maintain automated test scripts using Python and CAPL
• Utilize automotive tools such as CANoe, CANalyzer, CANape, and dSPACE for testing and diagnostics
• Validate applications running on SoC platforms, embedded Linux, and connected vehicle systems
• Collaborate cross-functionally with software engineering, research teams, and vendors to identify and resolve complex issues
• Drive defect analysis, root cause investigation, and continuous improvement of validation processes

Required Skills

• 8+ years of automotive software validation experience
• Proven experience developing test strategies and validation methodologies
• Demonstrated ability to solve ambiguous and complex technical problems (experience in R&D, startup, or research environments strongly preferred)
• Experience defining validation approaches for new or emerging technologies
• Strong systems-thinking mindset with the ability to see end-to-end interactions
• Ability to work independently in a research-oriented, fast-paced environment
• Hands-on experience with automotive tools such as CANoe, CANape, dSPACE, CAPL
• Strong programming and automation experience using Python
• Solid background in embedded systems and vehicle communication protocols

Preferred / Nice-to-Have Skills

• Experience with AI/ML testing or validation
• Knowledge of data analytics and data pipelines
• Familiarity with JavaScript
• Experience with ADAS, autonomous systems, or advanced vehicle technologies
• Exposure to SoC platforms, edge devices, and embedded Linux environments
• Familiarity with platforms such as NVIDIA, Qualcomm, or Renesas
• ISTQB and/or IREB certification
• Experience supporting rapid prototyping or research-focused development environments