{"id":1223744,"url":"https://alion.io/job/infosys-scenario-creation-maintenance-engineer","title":"Scenario Creation - Maintenance Engineer","company":{"id":223,"name":"Infosys","domain":"infosys.com","url":"https://alion.io/company/infosys","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":95,"open_postings":264,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":93,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Field & Service","role_family":"Field & Service","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"closed","first_seen_at":"2026-07-24T10:38:46Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-03T06:25:29Z","board_verified":false,"closed_at":"2026-10-03T06:25:29Z","days_open":70,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":70},"description":"Role Title\nScenario Creation & Maintenance Engineer - Log Based Test Generation (Diagnostic Focused)\nExperience\n3-8 Years\nLocation\nIndia\nJob Summary\nWe are seeking highly analytical engineers to support the creation, maintenance, and optimization of testing scenarios for autonomous driving systems. The role involves transforming real-world operational data and logged system events into structured, reproducible test scenarios that improve validation coverage and system reliability. The ideal candidate should possess strong systems thinking, diagnostic troubleshooting capabilities, and the ability to work across complex software architectures and simulation environments.\nKey Responsibilities\nAnalyze system logs, telemetry data, and operational events to generate and maintain test scenarios.\nDesign scalable test configurations that can be applied across large automated testing pipelines.\nUnderstand and model interactions between software modules, environmental conditions, and simulation parameters.\nConvert complex system behaviors into repeatable validation scenarios and test datasets.\nPerform diagnostic analysis and reverse engineering of system behavior to identify edge cases and failure patterns.\nCollaborate with testing, simulation, software engineering, and data teams to improve scenario quality and coverage.\nDevelop rule-based and parameterized scenario generation frameworks.\nEnsure generated scenarios are robust, scalable, and representative of real-world operating conditions.\nResponsibilities\nExperience:\n3-8 Years\nJob Summary:\nWe are seeking highly analytical engineers to support the creation, maintenance, and optimization of testing scenarios for autonomous driving systems. The role involves transforming real-world operational data and logged system events into structured, reproducible test scenarios that improve validation coverage and system reliability. The ideal candidate should possess strong systems thinking, diagnostic troubleshooting capabilities, and the ability to work across complex software architectures and simulation environments.\nKey Responsibilities\nAnalyze system logs, telemetry data, and operational events to generate and maintain test scenarios.\nDesign scalable test configurations that can be applied across large automated testing pipelines.\nUnderstand and model interactions between software modules, environmental conditions, and simulation parameters.\nConvert complex system behaviors into repeatable validation scenarios and test datasets.\nPerform diagnostic analysis and reverse engineering of system behavior to identify edge cases and failure patterns.\nCollaborate with testing, simulation, software engineering, and data teams to improve scenario quality and coverage.\nDevelop rule-based and parameterized scenario generation frameworks.\nEnsure generated scenarios are robust, scalable, and representative of real-world operating conditions.\nTechnical requirements\nRequired Skills\nSystems Architecture & Modular Thinking\nStrong understanding of complex software architectures, state machines, and system interactions.\nAbility to analyze how different software components, environmental physics, and simulator configurations influence overall system behavior.\nParametric Design & Spatial Logic\nKnowledge of Boolean logic, geometric constraints, and time-based validation rules.\nExperience working with structured configuration languages such as JSON or XML.\nAbility to build reusable, scalable test configurations and validation rules.\nExperience working with automated testing pipelines and large-scale data processing environments.\nStrong systems-level thinking and automation mindset.\nRobustness & Boundary Value Analysis\nStrong understanding of edge cases, tolerances, and validation methodologies.\nAbility to design scenarios that remain resilient under variable system conditions.\nDiagnostic & Analytical Skills\nAdditional responsibilities\nCandidates from the following domains are highly preferred:\nQA Automation Engineering\nData Analytics\nTechnical Support Engineering (L3/L4)\nSystems Integration\nSoftware Validation & Testing\nSimulation Engineering\nTest Automation Engineering\nAutonomous Vehicle / ADAS Validation\nGame Simulation & Scenario Design\nEducational Qualification:\nBachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, Video Game Design, or related technical discipline.\nCandidates with a 3-year degree should have a relevant Master's degree or significant domain experience.\nPreferred skills\nDomain->Automotive->Automotive - 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