What are the responsibilities and job description for the Senior GPU Platform Engineer - AI Infrastructure Operations - W2 Role position at Saransh Inc?
Role: Senior GPU Platform Engineer - AI Infrastructure OperationsLocation: Redmond, WA (4 days a week onsite is must)Job Type: W2 ContractContract length: 1 year Note: Only Visa Independent candidates required (No C2C or Third-party candidates) On-site position requiring regular hands-on access to hardware in lab or data center environments.MUST HAVE SKILLS:Configuration ManagementGPGPU/GPUHardware Troubleshooting Infrastructure & Operations Infrastructure Automation and Orchestration Linux AdministrationDescription:Join our team to operate and support cutting-edge GPU infrastructure powering AI and high-performance computing workloads for a leading global hyperscale cloud provider.In this hands-on role, you'll manage the full lifecycle of NVIDIA GPU platforms from bring-up to break/fix while ensuring optimal performance for advanced AI applications. Responsibilities:- Operate and maintain production GPU and bare-metal compute platforms with hands-on hardware management- Perform physical infrastructure tasks including rack/stack, cabling, power validation, and system bring-up- Diagnose hardware faults, replace failed components, and coordinate vendor support for complex issues- Install and configure Linux operating systems with GPU-specific drivers and software stacks- Execute platform validation using diagnostic tools to ensure GPU health, stability, and performance- Provision bare-metal systems through automated workflows while troubleshooting configuration issues- Apply firmware, BIOS, and platform configuration changes following standardized change processes Requirements:- 5 years professional experience supporting production server infrastructure in data center environments- Strong Linux administration skills with ability to independently troubleshoot system-level issues- Hands-on experience with physical server hardware including diagnostics and component replacement- Familiarity with GPU platforms, preferably NVIDIA, and associated drivers and software stacks- Experience working in structured, change-controlled production environments- Knowledge of infrastructure monitoring tools and alert response procedures
Salary : $121,500 - $165,200