Benefits

Full Job Description

Role Overview 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. What You Will Do 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. Why It Might Be a Fit 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. Requirements B.Tech. or equivalent degree in CS, CE, ECE, EEE, Automotive Engineering, or a 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, 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 Benefits Not explicitly mentioned

Skills and Technologies