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Platform Test Automation Engineer-1
Diconium
Bengaluru, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago
PythonRobot FrameworkLinuxAndroidQNXDLT
Free
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Role Overview
Job Description: Platform Test Engineer (3 – 7 Years)
Work in a multi-cultural engineering environment with teams across Europe and India.
Contribute to the validation of cutting-edge features driving modern Automotive technology megatrends such as Software Defined Vehicles (SDV) , High-Performance ECUs , Zonal Architectures , and Car-to-Cloud connectivity .
You will be responsible for deriving functional and non-functional test specifications, developing automated test suites, and validating system behavior in End-to-End use cases involving multiple components along the functional chain.
The role increasingly leverages AI-powered tools and workflows to enhance test efficiency, traceability, and coverage.
Key Skills for This Role
PythonRobot FrameworkLinuxAndroidQNXDLT
Full Job Posting
Job Description: Platform Test Engineer (3 – 7 Years)
Work in a multi-cultural engineering environment with teams across Europe and India. Contribute to the validation of cutting-edge features driving modern Automotive technology megatrends such as Software Defined Vehicles (SDV) , High-Performance ECUs , Zonal Architectures , and Car-to-Cloud connectivity .
You will be responsible for deriving functional and non-functional test specifications, developing automated test suites, and validating system behavior in End-to-End use cases involving multiple components along the functional chain. The role increasingly leverages AI-powered tools and workflows to enhance test efficiency, traceability, and coverage.
Key Responsibilities
- Derive and document functional and non-functional test specifications.
- Automate test scenarios using Python, Robot Framework, and AI-assisted coding tools.
- Perform End-to-End system validation across multiple ECUs and software subsystems.
- Analyze system traces, logs, and communication traffic to detect and diagnose issues.
- Incorporate AI-driven testing methodologies to optimize test generation, trace analysis, and anomaly detection.
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