ADAS Software Testing/Validation

AVIN Systems Pvt Ltd; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

AVIN Systems Pvt Ltd in Pune is hiring for an ADAS validation engineer who will analyze requirements, develop test cases, and execute simulations across nominal and fault scenarios.

You will investigate failures, perform root-cause analysis, and collaborate with cross-functional teams to resolve issues while creating automation scripts for data parsing and reporting.

Qualifications

• B.Tech. or equivalent degree in CS/EE/EC/Automotive or related field.
• Practical experience with SIL/HIL, simulation, or software-based validation.
• Hands-on testing of ADAS or automated-driving features across perception/localization/prediction/planning/control.
• Strong Python programming skills for test automation, log parsing, data analysis, and visualization.
• Working knowledge of Git and CI/CD environments for regression investigations.
• Excellent analytical and debugging abilities to connect evidence from multiple sources.
• Familiarity with AI/LLM-based tools for debugging and automation.
• Clear written and verbal communication to document findings.
• Experience with Jira, Jama, DOORS, Codebeamer or similar ALM tools.

Responsibilities

• Analyze vehicle-level ADAS requirements and contribute to test cases, specs, and plans.
• Execute ADAS software validation on simulation platforms across various scenarios.
• Investigate failures by reproducing issues, collecting evidence, and classifying root causes.
• Analyze logs, signals, traces, and videos to identify failure patterns and origin sources.
• Perform regression analysis and code bisection using Git history and signals.
• Collaborate with developers, validation, sim, and hardware teams to resolve issues.
• Develop Python scripts to automate log parsing, analysis, and reporting.
• Contribute to failure-trend analysis, dashboards, and validation reports.

Skills

Python scripting

Test automation

Debugging

Log analysis

Analytical thinking

Strong communication

Education

B.Tech./BE in CS/EE/EC/Automotive

Tools

Git

CI/CD

Jira

Jama

DOORS

Codebeamer

Linux

Docker

Job description

What you'll be doing:

• Analyze vehicle-level ADAS requirements and contribute to the development of test cases, test specifications, and test plans.
• Execute ADAS software validation on simulation platforms across nominal, safety, fault-injection, and performance scenarios, ensuring test results are accurately captured and reported.
• Investigate test failures by reproducing issues, collecting diagnostic evidence, and performing first-level failure classification and root-cause analysis.
• Analyze logs, signals, traces, metrics, videos, and state transitions to identify failure patterns and help determine whether issues originate from software, simulation, configuration, infrastructure, analyzers, or evaluators.
• Perform regression analysis and code bisection using Git history and signal evidence, identify potential culprit CLs, and **escalate** complex regressions with clear supporting evidence.
• Work with software developers, validation engineers, simulation, tools, infrastructure, and hardware teams to investigate and resolve assigned bugs and validation issues.
• Develop Python scripts to simplify repetitive tasks such as log parsing, signal analysis, failure classification, data extraction, and reporting.
• Use AI/LLM-based tools and Agentic AI workflows to assist with log analysis, evidence correlation, failure summarization, and pattern identification.
• Contribute to failure-trend analysis, quality dashboards, and periodic validation reports, highlighting recurring issues and test gaps.

What We Need to See

• B.Tech. or equivalent degree in Computer Science, Computer Engineering, Electronics & Communication, Electrical Engineering, Automotive Engineering, or a related field, with 25 years of experience in automotive software testing, validation, or a closely related engineering role.
• Practical experience with SIL, HIL, simulation, or software-based validation and a basic understanding of automotive verification and validation processes.
• Hands-on experience testing ADAS or automated-driving features. Experience in one or more areas such as perception, localization, prediction, planning, control, or vehicle interfaces is preferred.
• Good Python programming skills, with experience writing scripts for test automation, log parsing, data analysis, signal processing, visualization, or debugging.
• Working knowledge of Git and CI/CD environments, including the ability to inspect commits, build information, test results, and change history during regression investigation.
• Strong analytical and debugging skills, with the ability to connect evidence from multiple sources and systematically narrow down the cause of a failure.
• Familiarity with AI/LLM-based developer or engineering tools, with an interest in applying AI to debugging, validation, and automation.
• Good written and verbal communication skills, with the ability to document technical findings clearly and communicate issues effectively with developers and validation teams.
• Experience with Jira, Jama, DOORS, Codebeamer, or other ALM/requirements-management tools.

Ways to Stand Out from the Crowd

• Experience using AI agents or LLM-based workflows for log analysis, debugging, failure classification, evidence correlation, or test automation.
• Exposure to GitLab CI, Jenkins, Linux, Docker, Kubernetes, cloud environments, or large-scale simulation infrastructure.
• Knowledge of Automotive SPICE (ASPICE) and ISO 26262 Functional Safety concepts and their relevance to automotive software validation.
• Familiarity with ADAS regulatory and consumer safety assessment frameworks, including Euro NCAP, UNECE DCAS, GSR, or UNECE homologation requirements.
• Demonstrated ability to independently investigate technical problems, learn new tools quickly, and turn repeated manual activities into automation.
• Any certification course on Machine learning / Self-driving car.