Ltts logo

Scenario Validation Engineer ( Autonomous Driving Planner Testing)

Ltts • Bengaluru, Karnataka, India

onsitefull-time
Posted Sep 23, 2026Apply by Oct 23, 2026

**Role & seniority: ** Scenario Validation Engineer (Autonomous Driving Planner Testing), 2–6 years

**Location & work type: ** Bangalore; notice period Immediate to 30 days preferred (work mode not specified)

**Stack/tools (from text): **

  • Shell scripting, Linux environments

  • Git/GitLab/GitHub

  • GUI + CLI automation frameworks (Scenario Editor / GLI mentioned)

  • Python scripting (preferred)

  • CI/CD tools and automated testing frameworks (preferred)

**Top 3 responsibilities: **

  • Build and maintain scenario-based functional tests for Autonomous Driving Planner.

  • Create/extend tests via GUI/CLI automation, and maintain test suites as planner features change.

  • Analyze, triage, debug, and perform root cause analysis on simulation failures; collaborate on fixes.

**Must-have skills: **

  • Strong logical/analytical thinking for scenario creation/validation

  • Shell scripting

  • Git version control

  • Understanding of vehicle driving behavior/driving mechanics

  • Debugging and RCA

  • Linux familiarity

  • Problem-solving/troubleshooting

**Nice-to-haves: **

  • Experience in Autonomous Driving/ADAS/autonomous vehicle validation

  • Knowledge of simulation platforms and scenario-based testing

  • Python, CI/CD, automated testing frameworks

  • Understanding of traffic rules, vehicle dynamics, planner algorithms

  • Fuzz testing, scenario

Full Description

Scenario Validation Engineer – Autonomous Driving Planner Testing

Experience: 2-6 Years

Location: Bangalore

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 ✅ Strong Shell Scripting skills ✅ 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.

Shell ScriptingGitGitLabGitHubDriving MechanicsVehicle BehaviorLinuxDebuggingRoot Cause AnalysisPythonCI/CDAutomated TestingFuzz TestingScenario ValidationAutonomous DrivingADASmulti-location

Cookies & analytics consent

We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.

Read how we use data in our Privacy Policy and Terms of Service.