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.
What we need to see
B.Tech. or equivalent degree in CS, CE, ECE, EEE, Automotive Engineering, or a related field, with 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, including L2, L2PP, and L3/L4 features 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, with the ability to break down complex process topics into actionable steps.
Ways to stand out from the crowd
Experience applying AI agents or LLM-based workflows to log analysis, evidence correlation, failure classification, automated bisection, or root-cause investigation.
Familiarity with GitLab CI, Jenkins, Linux, Docker, Kubernetes, cloud platforms, and large-scale simulation infrastructure..
Working knowledge of Automotive SPICE (ASPICE) processes and Functional Safety (ISO 26262) requirements, with their application in ADAS software verification and validation.
Good understanding of ADAS regulatory standards and consumer safety assessment protocols, including Euro NCAP, UNECE DCAS, GSR, and applicable UNECE homologation regulations.
Prior experience owning a validation, failure-triage, bisection, or pre-merge quality program and delivering continuous improvements end-to-end.
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