Description

You will own the test infrastructure and validation strategy for complex system-level software and AI/ML workloads on GPU hardware.

This role is on-site.

Responsibilities

• Design and execute comprehensive test plans, strategies, and cases for system-level features across Linux distributions (Ubuntu, RHEL, SLES).
• Develop novel validation approaches for AI/ML workloads on GPU infrastructure, ensuring full coverage for product features.
• Analyze and debug issues across the software stack using Linux internals, kernel-level behavior, and performance tools.
• Write clean, maintainable automated tests and validation tools using gtest, ctest, and CI/CD pipelines.
• Mentor junior engineers, drive root cause analysis for failures, and influence design decisions to improve testability.

Required Skills

• 5+ years of experience in C/C++ and Python programming.
• Deep knowledge of Linux operating systems, kernel behavior, and system services.
• Hands-on experience with Test Automation, System Testing, and GPU Testing.
• Proficiency with CI/CD tools including Jenkins, Docker, and Kubernetes.
• Experience with AI/ML testing and understanding of computer architecture concepts.
• Ability to design multi-year roadmaps for testing infrastructure and methodologies.
• Strong analytical, planning, and technical leadership skills.

Preferred Skills

• Experience with CUDA, MPI, or high-performance computing environments.
• Background in large-scale data center engineering or hardware-software systems.

Key Skills

Education

Any Graduate