Why This Role Stands Out
This hybrid role offers an exciting opportunity to lead cutting-edge embedded software testing for advanced AI-driven automotive technologies, providing significant growth and hands-on experience in a research-oriented environment. If you are a mid-senior professional with a passion for automotive software validation and developing test strategies for emerging tech, you will thrive in this dynamic position and are encouraged to apply.
Quick Overview
Job Description
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
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