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Senior Test Developer – Automotive Simulation Testing & Failure-Triage Lead

NVIDIA· Engineer, SW QA Test Dev
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Hybrid (Pune, Bengaluru)full-timePosted 1mo ago

About the role

Senior SWQA Lead with automotive domain expertise, specializing in simulation testing, failure triage, and AI-assisted failure investigation. Leads pre-merge testing, root-cause analysis, and bisection to identify regression-causing changelists, coordinating across software, simulation, validation, and infrastructure teams.

Responsibilities

  • Lead daily pre-merge testing, simulation failure triage, task prioritization, team execution, and timely closure of critical issues.
  • Perform root-cause and signal-level analysis using logs, traces, metrics, videos, and state transitions to isolate failures across software, simulation, configuration, infrastructure, analyzer, or evaluator components.
  • Lead bisections using source-control history, failure patterns, signal evidence, and code-impact analysis to identify culprit CLs and complex multi-change regressions.
  • Develop Python-based tools and automation for log analysis, failure classification, regression isolation, automated bisection, and reporting.
  • Apply Agentic AI workflows to correlate diagnostic evidence, identify patterns, summarize failures, recommend investigation paths, and improve triage efficiency.
  • Collaborate with development, systems, simulation, validation, tools, and infrastructure teams; track quality metrics, communicate risks, mentor engineers, and establish consistent triage practices.

Qualifications

  • B.Tech. or equivalent degree in CS, CE, ECE, EEE, Automotive Engineering, or related field
  • 8–12 years of relevant automotive software testing and validation experience
  • Strong expertise in HIL/SIL, simulation testing, automotive verification workflows, and root-cause analysis using signals, logs, traces, and system-level evidence
  • Hands-on validation experience with ADAS and automated-driving functions (L2, L2PP, L3/L4) across perception, localization, prediction, planning, control, and vehicle interfaces
  • Advanced Python skills for automation, signal processing, data analysis, visualization, debugging, and validation-tool development
  • Proven expertise in bisection using Git, CI/CD pipelines, build artifacts, and change history to identify and validate culprit CLs
  • Demonstrated ability to apply Agentic AI workflows
  • Proven ability to lead small to mid-sized teams, work with diverse stakeholders, and drive process alignment and continuous improvement
  • Excellent communication, documentation, and stakeholder management skills

Skills

Required:PythonRoot-cause analysisBisectionADAS/Automated Driving validation
Nice to have:Agentic AI workflows

Benefits

  • Not specified in the description
Last updated Sep 4, 2026. Interested? Apply on the company site.

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