Verification and Validation Engineer at CO-WORKER TECHNOLOGY
Norrtälje kommun, , Sweden -
Full Time


Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Verification, Validation, Software Testing, Python, Data Analysis, Simulation, ADAS, Autonomous Driving, AI, Machine Learning, Anomaly Detection, Predictive Modeling, Automated Testing, Data-Driven Techniques, Engineering, Communication

Industry

Staffing and Recruiting

Description
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.
Responsibilities
The Verification and Validation Engineer will plan and organize verification tasks across various environments and develop automated test scenarios to ensure software quality. They will also implement AI/ML solutions to enhance testing efficiency and contribute to the long-term V&V roadmap.
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