GPU Validation & Automation Engineer Linux

Job highlights

• Skills & Experience: 1-4 years experience in silicon / GPU/accelerator validation. Strong scripting / automation skills (Python / Shell is must). Low Level programming experience (C / C++ is a plus). Good understanding of GPU architecture,PCIe,memory,ROCm / OpenCL/CUDA.
• Experience : 1-4 Years .

No. of Positions : 1

Experience : 1-4 Years

Location : Hyderabad

Key Skills / Highlights : GPU stack validation, Python/Shell, ROCm/OpenCL/CUDA, CI/CD, Linux, AI models

Urgency :High

JD :

Role Summary:
Looking for an engineer to validate Software Stack Instinct GPUs with strong automation and debug skills.
You will work on pre/post-silicon validation, feature testing, performance checks, and automation of test workflows.

Responsibilities:
Validate features of GPUs (compute, PCIe, HBM, RAS, virtualization).
Develop and run functional, stress, and performance tests.
Automate test execution, reporting, and triaging using Python/Bash.
Work with design, firmware, and driver teams to debug issues.
Create validation plans, coverage tracking, and documentation.

Skills & Experience:
1-4 years experience in silicon/GPU/accelerator validation.
Strong scripting/automation skills (Python/Shell is must).
Low Level programming experience (C/C++ is a plus).
Good understanding of GPU architecture, PCIe, memory, ROCm/OpenCL/CUDA.
Experience in Linux environments and understanding of CI/CD automation frameworks is must.
Understanding of AI Models and Frameworks.
Innovative and self-motivated with strong problem-solving skills.