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Tier-1 brand and metro location increase competition, but niche automotive simulation reduces applicant density.
Role requires deep automotive ADAS, ASPICE, and ISO26262 expertise so cross-industry transferability is low.
Explicit 8–12 years plus mandatory ADAS, bisection, and tooling skills create highly strict hiring filters.
Lead daily automotive software simulation testing and failure triage, prioritizing tasks and ensuring timely closure of critical issues.
Perform root cause analysis using logs, traces, and other diagnostic data to isolate software or system failures and identify culprit changelists (CLs) via bisection.
Develop Python automation tools and apply Agentic AI workflows to improve failure investigation, evidence correlation, and triage efficiency.
B.Tech. or equivalent degree in CS, CE, ECE, EEE, Automotive Engineering, or related field.
8–12 years of experience in automotive software testing, simulation validation, and failure triage.
Strong hands-on expertise in HIL/SIL, ADAS validation (L2-L4), root cause analysis, advanced Python scripting, and bisection using Git and CI/CD.
Experience leading small to mid-sized teams and coordinating across software, simulation, validation, and infrastructure stakeholders.
Experienced in advanced automotive simulation testing and failure triage for ADAS and automated driving software stacks.
Demonstrated ability to lead process improvements and manage quality programs involving multi-disciplinary teams and complex workflows.
Familiar with applying AI workflows for automated root cause analysis and strong technical skills with Python, Git-based bisection, and CI/CD in fast-paced software validation environments.