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Advanced Engineer - QA Automation

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Onsite

Advanced Engineer - QA Automation

Harman International

Advanced Engineer - QA Automation

Skills

PythonData VisualizationTesting & QANumPypandasPyTorchTensorFlowGitLabJenkinsData AnalysisMachine LearningAILinux

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

16 September 2026

What they need


Job Summary

Introduction: A Career at HARMAN Automotive

We re a global, multi-disciplinary team that s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-tracking your career.

  • Engineer audio systems and integrated technology platforms that augment the driving experience
  • Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
  • Advance in-vehicle infotainment, safety, efficiency, and enjoyment

Role Overview

We are looking for Python-based automation frameworks for integration and system testing. The role involves owning build, integration, and release activities, setting up CI/CD pipelines, and leading a small team of up to 3 engineers.

Responsibilities

  • Develop and maintain Python-based automation frameworks for integration and system testing.
  • Build AI/ML-based solutions to improve test automation, defect detection, log analysis, and test result prediction.
  • Develop scripts to automate data collection, log parsing, and test reporting.
  • Analyze vehicle logs and test data to identify failures, trends, and root causes.
  • Integrate test automation with CI/CD pipelines and test management tools.
  • Work closely with software developers, test engineers, and system architects to improve test coverage and quality.
  • Support validation of automotive software across embedded, Android, Linux, and cloud-connected systems.
  • Prepare technical documentation and maintain automation scripts and ML models.

Requirements

  • Strong programming skills in Python.

  • Experience with Python automation frameworks such as PyTest, Robot Framework, or unittest.

  • Good knowledge of Machine Learning concepts and hands-on experience with libraries such as Scikit-learn, TensorFlow, or PyTorch.

  • Experience with data analysis using Pandas and NumPy.

  • Experience in log analysis, data visualization, and report generation.

  • Knowledge of REST APIs, JSON, XML, and scripting.

  • Familiarity with Git and CI/CD tools such as Jenkins or GitLab CI.

  • Strong analytical and problem-solving skills.

  • Good communication skills and the ability to work in cross-functional teams.

  • Experience in automotive software testing or integration testing.

  • Familiarity with Automotive SPICE (ASPICE) and ISO 26262.

  • Experience with Generative AI or Large Language Models (LLMs) for test automation or intelligent log analysis is an added advantage.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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