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

Overview

• Do you enjoy solving complex automotive software failures and leading high-impact validation activities in a fast-paced engineering environment? We are looking for an experienced SWQA Lead with strong automotive domain knowledge, hands-on simulation testing expertise, advanced Python skills, and a proven ability to identify regression-causing changelists(CL’s) through systematic bisection.
• This role is central to Integration testing quality and simulation failure triage.
• You will lead daily testing activities, analyze various failures and artifacts, identify root causes, isolate culprit changelists (CLs), and coordinate resolution across software, simulation, validation, and infrastructure teams.
• As the Person in Charge (PIC), you will manage priorities, assign work, remove blockers, improve triage efficiency, and ensure release-impacting issues are driven to closure.
• You will also apply Agentic AI workflows to accelerate failure investigation, evidence correlation, classification, and reporting.
• What you'll be doing: 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 software, simulation, configuration, infrastructure, analyzer, or evaluator failures.
• Lead the 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.
• 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.