Scenario Validation Engineer ( Autonomous Driving Planner Testing)

L&T Technology Services; Bengaluru; On-site; INR 800,000 - 1,400,000; Full time

Job summary

L&T Technology Services is seeking a Scenario Validation Engineer to support validation and testing of Autonomous Driving Planner functionalities. The role involves creating, maintaining, and automating simulation scenarios to ensure thorough functional test coverage.

The ideal candidate has 2–6 years of software testing experience with hands-on scripting, a solid grasp of driving mechanics and vehicle behavior, and strong debugging and RCA skills.

Qualifications

• 2-6 years of experience in Software Testing, Validation, or Scenario-Based Testing.
• Good knowledge of Git/GitLab/GitHub version control systems.
• Good understanding of Driving Mechanics and Vehicle Behavior.
• Strong logical and analytical thinking for scenario creation and validation.
• Experience in debugging and root cause analysis of software issues.
• Exposure to Linux-based development environments.

Responsibilities

• Create and maintain scenario-based tests to ensure functional coverage of Autonomous Driving Planner features.
• Develop new scenario validation tests using GUI-based and CLI-based automation frameworks (Scenario Editor/GLI).
• Analyze, triage, and debug simulation test failures.
• Perform maintenance and updates of existing test scenarios.
• Conduct RCA for failed simulations and collaborate with development teams for issue resolution.
• Create and maintain test plans aligned with planner feature requirements.
• Update test suites to accommodate newly introduced planner functionalities.
• Identify common failure patterns and execute bulk updates across simulation test suites.
• Explore and implement automation approaches for scenario generation and test maintenance.
• Perform fuzz testing and scenario variation testing to improve planner robustness.

Skills

Git/GitLab/GitHub

Driving Mechanics and Vehicle Behavior

Logical and analytical thinking

Debugging

Linux

Scenario-based testing

Job description

Scenario Validation Engineer – Autonomous Driving Planner Testing

Experience: 2-6 Years

Notice Period: Immediate to 30 Days Preferred

Job Summary

We are seeking a highly motivated Scenario Validation Engineer to support validation and testing of Autonomous Driving Planner functionalities. The ideal candidate should possess strong logical reasoning skills, hands‑on scripting experience, and a good understanding of vehicle driving behavior and traffic scenarios. The role involves creating, maintaining, and automating simulation scenarios to ensure comprehensive functional test coverage for planner behavior.

Key Responsibilities

• Create and maintain scenario-based tests to ensure functional coverage of Autonomous Driving Planner features.
• Develop new scenario validation tests using both GUI‑based and CLI‑based automation frameworks (Scenario Editor/GLI frameworks).
• Analyze, triage, and debug simulation test failures.
• Perform maintenance and updates of existing test scenarios.
• Conduct root cause analysis (RCA) for failed simulations and collaborate with development teams for issue resolution.
• Create and maintain test plans aligned with planner feature requirements.
• Update test suites to accommodate newly introduced planner functionalities.
• Identify common failure patterns and execute bulk updates across simulation test suites.
• Explore and implement automation approaches for scenario generation and test maintenance.
• Perform fuzz testing and scenario variation testing to improve planner robustness.
• Work closely with software developers and validation teams to improve product quality and functional coverage.

Mandatory Skills

• 2-6 years of experience in Software Testing, Validation, or Scenario-Based Testing
• Good knowledge of Git/GitLab/GitHub version control systems
• Good understanding of Driving Mechanics and Vehicle Behavior
• Strong logical and analytical thinking for scenario creation and validation
• Experience in debugging and root cause analysis of software issues
• Exposure to Linux‑based development environments
• Strong problem-solving and troubleshooting skills

Preferred Skills

• Experience in Autonomous Driving, ADAS, or Autonomous Vehicle Validation.
• Exposure to Simulation Platforms and Scenario-Based Testing.
• Knowledge of Python scripting.
• Familiarity with CI/CD tools and automated testing frameworks.
• Understanding of traffic rules, vehicle dynamics, and planner algorithms.
• Experience with Fuzz Testing and Test Automation.

Soft Skills

• Excellent analytical and critical thinking abilities.
• Strong communication and documentation skills.
• Ability to work independently and drive tasks to closure.
• Proactive attitude and ownership mindset.
• Effective collaboration with cross-functional teams.