Systems Test Engineering

Infosys; Bengaluru; On-site; INR 800,000 - 1,600,000; Full time

Job summary

Infosys seeks a highly analytical Systems Test Engineer to design, develop, and execute comprehensive test strategies for complex autonomous vehicle systems. You will translate high-level engineering requirements into structured test scenarios, identify defects, and collaborate with cross-functional teams to enhance product quality and reliability.

The role requires strong logical reasoning, system-level thinking, and expertise in troubleshooting complex software and hardware interactions, with

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Automotive Engineering, Applied Mathematics, Physics, or related technical discipline.
• Master's degree preferred for candidates with a 3-year undergraduate degree.
• Experience in software testing, systems validation, automotive testing, embedded systems testing, or related domains.
• Knowledge of test automation frameworks, defect tracking tools, and software development lifecycles.
• Familiarity with Linux environments, scripting, and data analysis tools is desirable.
• Candidates from System Test Engineering, Software Quality Assurance, Embedded Systems Validation, Automotive Testing, Autonomous Vehicle Testing, Robotics Testing, Controls Engineering, Simulation & Validation Engineering are highly preferred.

Responsibilities

• Design and develop comprehensive test plans, test cases, and validation strategies for autonomous driving systems and related software components.
• Translate abstract product and engineering requirements into detailed, parameterized testing scenarios.
• Execute functional, integration, system, and regression testing activities across multiple environments.
• Analyze system behavior, identify defects, isolate root causes, and document findings with clarity and precision.
• Perform black-box testing by evaluating system responses without access to underlying source code.
• Collaborate with software, systems, simulation, and validation engineers to resolve issues and improve product quality.
• Drive test coverage optimization while avoiding redundant test scenarios.
• Create detailed bug reports and provide actionable feedback to engineering teams.
• Support continuous improvement of testing methodologies, tools, and processes.

Skills

Test Architecture

Domain Translation

Black-Box Troubleshooting

Education

Bachelor's degree in Computer Science/Engineering

Master's degree preferred for 3-year undergrad

Tools

Test automation frameworks

Defect tracking tools

Linux scripting

Job description

Required Skills & Competencies

• Test Architecture Strong logical and analytical thinking. Ability to decompose complex system behaviors into structured and scalable test cases. Experience creating end-to-end validation strategies and ensuring comprehensive test coverage.
• Domain Translation Ability to understand operational and engineering concepts and transform them into measurable test requirements. Strong systems-thinking and problem-solving capabilities.
• Black-Box Troubleshooting Expertise in identifying system states, isolating variables, and validating workarounds. Strong defect investigation and debugging skills. Ability to create concise, high-quality defect reports for development teams.

Role Details

• Role: Systems Test Engineer
• Location: India (with collaboration across global teams)
• Experience: 3–8 Years
• Domain: Autonomous Vehicles / Mobility / Embedded Systems / Software Testing

Job Summary

We are seeking a highly analytical and detail-oriented Systems Test Engineer to design, develop, and execute comprehensive test strategies for complex autonomous vehicle systems. The ideal candidate will be responsible for translating high-level engineering requirements into structured test scenarios, identifying system defects, and collaborating with cross-functional engineering teams to improve product quality and reliability. The role demands strong logical reasoning, system-level thinking, and expertise in troubleshooting complex software and hardware interactions.

Key Responsibilities

• Design and develop comprehensive test plans, test cases, and validation strategies for autonomous driving systems and related software components.
• Translate abstract product and engineering requirements into detailed, parameterized testing scenarios.
• Execute functional, integration, system, and regression testing activities across multiple environments.
• Analyze system behavior, identify defects, isolate root causes, and document findings with clarity and precision.
• Perform black-box testing by evaluating system responses without access to underlying source code.
• Collaborate with software, systems, simulation, and validation engineers to resolve issues and improve product quality.
• Drive test coverage optimization while avoiding redundant test scenarios.
• Create detailed bug reports and provide actionable feedback to engineering teams.
• Support continuous improvement of testing methodologies, tools, and processes.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Automotive Engineering, Applied Mathematics, Physics, or related technical discipline.
• Master's degree preferred for candidates with a 3-year undergraduate degree.
• Experience in software testing, systems validation, automotive testing, embedded systems testing, or related domains.
• Knowledge of test automation frameworks, defect tracking tools, and software development lifecycles.
• Familiarity with Linux environments, scripting, and data analysis tools is desirable.
• Candidates from the following areas are highly preferred: System Test Engineering Software Quality Assurance Embedded Systems Validation Automotive Testing Autonomous Vehicle Testing Robotics Testing Controls Engineering Simulation & Validation Engineering

Success Factors

• Exceptional problem-solving and critical thinking skills.
• Strong written and verbal communication abilities.
• Ability to work effectively in cross-functional global teams.
• Attention to detail and commitment to product quality.
• Passion for innovative mobility and autonomous vehicle technologies.