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We are looking for a Senior Software Validation Engineer to lead software validation activities in the Datacenter Systems Engineering team. You'll work closely with solution architects, HW system engineers, Software, Network & Storage architects, validation engineers, OEM/ODMs, and AE teams to ensure product validation and test coverage are optimal. The ideal candidate is self-motivated, works well with different teams, very comfortable in a lab environment and demonstrates passion towards product level validation. They should have strong debug analysis fundamentals as well as automation and scripting experience. They must be capable of thriving in fast paced environment with evolving product definitions.
What you’ll be doing:
Developing new and extending existing test strategies & executing to guarantee the highest level of quality from both functional and performance perspectives.
Designing and developing software that automates the verification of all Data Center Scale infrastructure components. Your expertise in developing efficient and reliable automation tools with Python will play a crucial role in streamlining our testing processes.
Validation of distributed Storage systems (e.g., Lustre) on AI/HPC Datacenter scale infrastructure
Collaborate with multi-functional teams including application teams, HW designers, networking team, FW, security etc. to debug any HW/SW product issues.
Debug, triage issues, perform root cause analysis, verify fixes, define new tests, and improve product test plans.
Analyzing and root-causing issues down to the code level, leading the defect fixing process, and bug life cycle management. Your strong problem-solving skills will allow you to address challenges with efficiency and precision.
What we need to see:
MSEE/MSCE or equivalent experience
10+ years of validation experience
Over 5 years of proven experience in Software Quality Engineering & Storage system verification desired including significant contributions to QA strategies and test documentation.
Proven expertise in Test Framework & automation scripts development, CI/CD experience using Python, SHELL, Ansible, Git & Jenkins, docker containers & Kubernetes.
Solid understanding of system-level debugging and analysis tools
Strong communication skills and ability to participate in cross-functional quality initiatives & Cross-collaboration with Dev & Product Management teams to understand specification
Excellent design, debugging and problem-solving skills, with a strong bias for action, quality and engineering excellence.
Experience in using AI coding assistants to improve coding efficiency and correctness
Ways to stand out from the crowd:
Experience with GPU server architecture and storage validation in Datacenter infrastructure.
Hands on & expertise with Kubernetes, Docker containers & Jenkins pipelines
Certifications in storage (e.g., SNIA) or HPC systems or Storage Performance experience with mdtest or FIO tool.
You will also be eligible for equity and benefits.
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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