Verification and Validation Engineer
We usually respond within three days
Responsibilities
Plan Test Activities: Drive and organize verification tasks across multiple environments, ranging from Software-in-the-loop (SIL) to physical test tracks.
Develop Verification Content: Partner with developers to create automated test oracles and data-driven scenarios to ensure high-quality software.
Implement AI/ML Solutions: Apply anomaly detection and predictive modeling to streamline decision-making and improve testing efficiency.
Strategic Input: Contribute to the long-term Verification & Validation (V&V) roadmap, focusing on the integration of AI-assisted testing.
Build Automated Tooling: Create tools to gather requirement evidence using metrics from simulations and embedded data streams.
Analyze and Report: Summarize release testing results and provide insights based on data-driven evaluations.
Requirements
Professional Background: Master’s degree in Engineering plus at least 3 years of experience in verifying software-controlled systems.
Programming Skills: Strong hands-on experience using Python for data analysis.
Simulation Expertise: Proficiency with virtual verification methods, including SIL, HIL, and general simulation.
Domain Knowledge: Experience working with ADAS (Advanced Driver Assistance Systems) or AD (Autonomous Driving).
Process Knowledge: Understanding of how to augment traditional verification methods with data-driven techniques.
Broad Engineering Insight: Technical experience that extends beyond basic software testing into multiple engineering domains.
Communication: Clear and professional verbal and written English skill.
- Department
- Engineering
- Locations
- Stockholm
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