The role requires hands-on experience with tools such as TESSY, Google Test (GTest), Polyspace, and MISRA compliance verification, along with a fundamental understanding of AUTOSAR architecture, Model-Based Development (MBD), HIL testing concepts, and automotive software development processes. The engineer is expected to demonstrate ownership, proactive problem-solving, and effective stakeholder communication while ensuring adherence to quality standards and delivery commitments.
Key Responsibilities
- Hands-on experience with TESSY, Google Test (GTest), Polyspace, and SonarQube tools for software verification, static analysis, and code quality assessment.
- Perform unit testing of embedded software components and verify functional correctness against software requirements.
- Conduct static code analysis using Polyspace and support closure of identified violations.
- Analyze and ensure compliance with MISRA C/C++ guidelines and project-specific coding standards.
- Generate and maintain unit test reports, coverage reports, and traceability documentation.
- Execute requirement-based verification and ensure bidirectional traceability between requirements, design, implementation, and test artifacts.
- Participate in code reviews and provide constructive feedback to improve software robustness and maintainability.
- Collaborate with software architects, developers, integrators, and validation teams for issue resolution.
- Participate actively in Agile/Scrum activities and provide regular status updates.
- Support release readiness activities and quality gate reviews.
- Ensure compliance with organizational processes, ASPICE requirements, and quality management systems.
- Maintain all verification artifacts in accordance with project and customer expectations.
- Take ownership of communication regarding test status, blockers, and release readiness.
- Contribute to process improvements, documentation, and standardization activities.
Required Technical Skills
Unit Testing & Verification
Hands-on experience with TESSY for unit testing of embedded software.
Experience using Google Test (GTest) framework for unit and component-level testing.
Strong understanding of software verification techniques and defect prevention methodologies.
Knowledge of statement, branch, decision, and MC/DC coverage concepts.
Static Analysis & Coding Standards
Hands-on experience with Polyspace static analysis tools.
Good understanding of MISRA C/C++ guidelines and coding standard compliance.
Experience in analyzing and resolving static analysis findings and code quality issues.
Familiarity with software quality metrics and compliance reporting.
Embedded Software Knowledge
Strong understanding of Embedded C programming concepts.
Basic understanding of microcontroller-based systems and ECU software architecture.
Knowledge of software development lifecycle within automotive embedded systems.
Understanding of software integration and debugging techniques.
Automotive Domain Knowledge
Basic understanding of AUTOSAR Architecture.
Good understanding of software component interactions, BSW, RTE, and application layers.
Exposure to automotive communication protocols such as CAN, LIN, and Ethernet.
Awareness of functional safety and automotive software development processes.
Model-Based Development
Understanding of Model-Based Development (MBD) concepts.
Familiarity with Simulink models, code generation concepts, and model verification workflows.
Ability to understand software designs derived from model-based architectures.
Tools & Process
Experience with configuration management and version control tools (Git preferred).
Experience with SonarQube for code quality assessment, technical debt analysis, and quality gate monitoring.
Knowledge of ASPICE software engineering processes, including software verification, traceability, reviews, and compliance requirements.
Familiarity with defect management and ALM tools.
Exposure to CI/CD workflows and automation concepts is an advantage.
Knowledge of ASPICE software engineering processes is desirable.
Soft Skills
Strong analytical and debugging abilities.
Excellent communication and documentation skills.
Ability to manage stakeholders, align expectations, and drive issue resolution.
Collaborative, proactive, and detail‑oriented working style.
Ability to work independently and take ownership of tasks.
