Automotive Software Specialist

2 weeks ago

Bengaluru, Karnataka, India beBeeSoftware Full time US$ 1,00,000 - US$ 1,50,000
Software Development Engineer

As a skilled Software Development Engineer, you will be responsible for analyzing, designing, coding, and testing various components of application code across multiple clients. Your day-to-day tasks will involve collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development process.

Key Responsibilities:
  • Design, develop, and pre-integrate software modules for automotive ECUs using Python.
  • Develop and maintain test automation frameworks and automated test suites using Python, JavaScript, and HTML.
  • Implement and manage CI/CD pipelines for automated build, test, and deployment processes.
  • Manage artifact repositories using Jfrog Artifactory or equivalent tools.
  • Perform and maintain test activities on automotive ECU racks and HIL benches.
  • Analyze communication, power, and diagnostic issues across CAN, FlexRay, and DoIP channels.
  • Handle PDX and IDX files related to flashing, configuration, and diagnostics.
  • Implement and validate diagnostic services (UDS), ensuring compliance with OEM and ISO standards.
  • Develop automated tests using Vector toolchains and scripting languages.
  • Debug and trace issues using logs, hardware tools, and bus monitoring software.
  • Collaborate with cross-functional engineering teams to integrate and validate ECU features.
  • Optimize code and test frameworks for performance and reliability.
  • Ensure robust configuration management of software, test cases, and hardware environments.


Required Skills and Qualifications:
Technical Skills:
  • Strong experience in Test Automation frameworks and methodologies for automotive ECU validation.
  • Proficiency in Python for scripting, automation, testing, and tooling development.
  • Experience with JavaScript (JS) and HTML for developing web-based test dashboards, visualization tools, or automation front ends.
  • Experience with Jfrog Artifactory for artifact management and repository handling.
  • Strong understanding and hands-on experience with CI/CD pipelines (Jenkins, GitLab CI) for automated builds, tests, and deployments.
  • Experience in Configuration Management for software and test environments ensuring repeatability and traceability.
  • Automotive ECU Development and Pre-Integration: Hands-on experience in software development, pre-integration, and unit testing for automotive Electronic Control Units (ECUs).
  • Experience with automotive ECU test benches and HIL racks including hardware integration, setup, and signal-level validation.
  • Experience in analysis of ECU logs, fault traceability, and debugging using CANoe, vSpy, or custom tools.
  • Familiarity with PDX, IDX, and other automotive data exchange formats for diagnostics, flashing, and validation.
  • Strong understanding of automotive protocols: CAN (Controller Area Network), FlexRay, SOME/IP, DoIP, UDS, OBD-II, ISO 14229
  • Experience with automotive diagnostics: DTC management, diagnostic session handling, and UDS services.
  • Experience with version control tools such as Git.
  • Familiarity with additional protocols like MQTT, LIN, or Serial Communication.
  • Hands-on experience with hardware debugging, test bench maintenance, and signal analysis using oscilloscopes, logic analyzers, etc.
  • Proficiency with Vector tools, including - CANoe, including FlexRay bus simulation and diagnostics
  • Proficiency with Vector tools, including - CANalyzer for real-time bus monitoring (CAN, FlexRay)
  • Proficiency with Vector tools, including - vTESTstudio for automated test development
  • Proficiency with Vector tools, including - DaVinci Configurator/Developer for AUTOSAR configuration and component implementation
  • Proficiency with Vector tools, including - CAPL scripting for simulation logic, fault injection, and automated testing

Education:
  • Bachelor's or Master's degree in Computer Science, Electronics, or a related field from a recognized university.
  • Minimum 2 years of experience in Automotive ECU Software.

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