GPU validation and Python automation Professional
Proxelera · Hyderabad · onsite · Posted 34d ago
Undisclosed3–9 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary:
Looking for an engineer with strong GPU validation and Python automation skills to automate existing manual GPU validation test cases. The role involves understanding GPU validation scenarios, converting manual test procedures into robust Python automation, and leveraging AI/ML techniques to improve test coverage, failure analysis, and validation efficiency.
Key Responsibilities:
- Execute and understand GPU validation manual test cases across functional, stress, stability, and regression scenarios.
- Convert manual validation test cases into Python-based automated tests.
- Develop and maintain scalable Python automation frameworks for GPU validation.
- Automate test execution, result collection, log parsing, and failure detection.
- Apply AI/ML techniques for test-case optimization, failure classification, anomaly detection, and intelligent log analysis.
- Analyze GPU validation failures and identify patterns using test data and system logs.
- Integrate automation into CI/regression validation pipelines.
- Work closely with GPU validation, driver, firmware, and system teams to improve automation coverage.
Required Skill Set:
- Strong GPU Validation / Testing experience.
- Hands-on experience converting manual test cases into automation.
- Strong Python scripting and automation skills.
- Experience with PyTest or similar Python testing frameworks.
- Good understanding of GPU functional validation, regression, stress, and stability testing.
- AI/ML fundamentals with practical experience using Python-based AI/ML libraries.
- Strong skills in log analysis, test result analysis, debugging, and data processing.
- Linux and Git experience.
Top Mandatory Skills:
- Strong GPU Validation/Testing experience.
- Strong Python scripting and automation skills.
- Integrate automation into CI/regression validation pipelines.
- Experience with PyTest or similar Python testing frameworks.
- AI/ML fundamentals with practical experience using Python-based AI/ML libraries.
- Linux and Git experience.
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.
Sourced from naukri
Skills
Test CasesAutomationFirmwarelog analysistest executiondebuggingPythonData ProcessingGITLinux
About Proxelera

Proxelera
IT Services & Consulting
51-200
employees
2021
5 years old
Bangalore / Bengaluru, Karnataka
India
₹12.6L PA avg
Avg at Proxelera
About
Proxelera provides VLSI design expertise to global customers. Our differentiation is our quality, timeliness and cost-effectiveness
Industries
ElectronicsHardwareSoftware
Employee ratings
10 reviews
4.0/ 5
Culture
4.9
Career growth
4.5
Work-life
4.7
Employees rate it well for
Company Culture41Work-Life Balance41
Find them on