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Platform Test Automation Engineer-2

Embitel Technologies
Bengaluru, IND
Full-time
Mid · 3–5 years experience
Onsite
Discovered 3 weeks ago
dockergitjiralinuxpython

Full Job Posting

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.
  • Ability to craft effective AI prompts for generating test scripts, documentation, and analysis reports.
  • Use prompt-engineering techniques to interact with AI models for generating test artifacts, summaries, and reports.

Required Skills

  • Automotive & Platform-Testing
  • Experience in the Automotive domain, especially in SDV / SW ECU Platforms
  • Good understanding of automotive ECUs and features (Communication protocols, BSW, MCAL, Diag stack etc.)
  • Strong expertise in Test Automation with Python and Robot Framework.
  • Experience with Linux/Android/QNX systems, including file systems and network configuration.
  • Knowledge of automotive communication protocols: CAN, FlexRay, Ethernet, SOME-IP and DOIP
  • Able to generate Rest Bus Simulations from Network data / ARXML.
  • Understanding of End-to-End Protection (E2E) profiles
  • Experience with trace/log analysis (DLT, CAN, Ethernet) and tools like Vector CANoe, VehicleSpy, Wireshark.
  • Experience in automotive diagnostics: OBD, UDS, DoIP; familiarity with tools such as CANoe.DiVa and CANape.
  • Experience in network node simulation using CAPL (CANoe) or function blocks (VehicleSpy).
  • Knowledge of automotive test processes and tools for Requirements Management (DOORS, CodeBeamer), Planning (ALM/Jira), and Version Control (Git/SVN).
  • Experience in AI-driven testing methodologies to optimize test generation, trace analysis, and anomaly detection.
  • Good to Have (Optional)
  • ISTQB Certification.
  • Adaptive AUTOSAR experience.
  • Experience in containerized environments (Docker, Conan).
  • Workflow/CI creation in GitHub for continuous test automation.
  • Job Description: Platform Test Engineer (3 – 5 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.

Required Skills

  • Working with Embitel • Freedom to challenge norms, make mistakes, learn and grow • There is no ‘I’ in word ‘Team’ and no hierarchy at Embitel • Employees of Embitel are partners of our excellence and growth. And they are at the core of organization’s Mission and Vision
  • To explore an exciting & progressive Career development at Embitel India: • Visit us at: www.embitel.com • Follow us at LinkedIn: https://www.linkedin.com/company/embitel-technologies-india

Qualifications

  • Automotive & Platform-Testing
  • Experience in the Automotive domain, especially in SDV / SW ECU Platforms
  • Good understanding of automotive ECUs and features (Communication protocols, BSW, MCAL, Diag stack etc.)
  • Strong expertise in Test Automation with Python and Robot Framework.
  • Experience with Linux/Android/QNX systems, including file systems and network configuration.
  • Knowledge of automotive communication protocols: CAN, FlexRay, Ethernet, SOME-IP and DOIP
  • Able to generate Rest Bus Simulations from Network data / ARXML.
  • Understanding of End-to-End Protection (E2E) profiles
  • Experience with trace/log analysis (DLT, CAN, Ethernet) and tools like Vector CANoe, VehicleSpy, Wireshark.
  • Experience in automotive diagnostics: OBD, UDS, DoIP; familiarity with tools such as CANoe.DiVa and CANape.
  • Experience in network node simulation using CAPL (CANoe) or function blocks (VehicleSpy).
  • Knowledge of automotive test processes and tools for Requirements Management (DOORS, CodeBeamer), Planning (ALM/Jira), and Version Control (Git/SVN).
  • Experience in AI-driven testing methodologies to optimize test generation, trace analysis, and anomaly detection.
  • Good to Have (Optional)
  • ISTQB Certification.
  • Adaptive AUTOSAR experience.
  • Experience in containerized environments (Docker, Conan).
  • Workflow/CI creation in GitHub for continuous test automation.
  • Job Description: Platform Test Engineer (3 – 5 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.
  • Working with Embitel
  • Freedom to challenge norms, make mistakes, learn and grow
  • There is no ‘I’ in word ‘Team’ and no hierarchy at Embitel
  • Employees of Embitel are partners of our excellence and growth. And they are at the core of organization’s Mission and Vision
  • Visit us at: www.embitel.com
  • Follow us at LinkedIn: https://www.linkedin.com/company/embitel-technologies-india
  • 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.
  • Ability to craft effective AI prompts for generating test scripts, documentation, and analysis reports.
  • Use prompt-engineering techniques to interact with AI models for generating test artifacts, summaries, and reports.

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