Post-Silicon Workload & Test Automation Engineers

Seeking hands-on Python Automation Engineers to develop and execute workloads, automate test cases, validate results, and debug failures in Client's post-silicon CPU/GPU validation environment.

Job Description – Post-Silicon Workload & Test Automation Engineer

Open Positions: 4

Location: U.S.-based, Remote

Working Hours: U.S. time zone, CST preferable

Experience: 3–5 years preferred; flexible based on technical expertise

Engagement: Annual - Extendable Post that

No of Openings- 1 senior , 3 Junior & Senior can be 7-8+, Junior can be 5+

Key Responsibilities:

• Python Automation: Develop, enhance, and maintain Python-based test automation scripts and frameworks.
• Test Case Development: Design, create, automate, and execute functional and system-level validation test cases.
• Workload Creation: Develop and execute CPU/GPU workloads for post-silicon validation.
• Failure Analysis: Analyze test failures, execution logs, and system behavior to identify root causes.
• Driver Debugging: Investigate driver-related failures, reproduce issues, and support debugging and resolution.
• PostgreSQL Validation: Write SQL queries to validate test results, analyze execution data, and troubleshoot data discrepancies.
• Test Optimization: Improve automation coverage, execution efficiency, reliability, and reporting.
• Independent Delivery: Own assigned tasks, troubleshoot issues, and deliver outcomes with minimal supervision.

Mandatory Skills

• Strong hands-on Python programming and test automation.
• Experience developing automated test cases and execution scripts.
• Experience with workload creation, execution, and failure analysis.
• Working knowledge of PostgreSQL / SQL for test data validation.
• Strong debugging skills, including log analysis and root-cause investigation.
• Experience in system-level validation, embedded software testing, or post-silicon testing.
• Ability to work independently and collaborate during U.S. business hours.

Preferred Skills

• CPU/GPU/APU post-silicon validation experience.
• Exposure to AMD, Intel, NVIDIA, Qualcomm, or similar semiconductor platforms.
• Linux/Windows system-level testing and debugging.
• Device driver or firmware validation experience.
• PyTest, Git, Jenkins, and CI/CD automation.
• Performance, stress, or regression workload testing.

Educational Qualification

Bachelor's degree in computer science, Electrical/Electronic Engineering, Computer Engineering, or equivalent relevant experience.

Key Hiring Guidelines

• Priority: Strong Python automation + system-level debugging capabilities.
• Preference: Candidates with CPU/GPU post-silicon validation exposure.
• Experience: Skills and hands-on delivery capability matter more than years of experience.
• Location: U.S.-based candidates strongly preferred.
• Customer Interview: Online
• Avoid: Profiles limited to manual QA, Selenium/browser UI automation, or basic scripting without debugging experience.