Hardware Engineer

Be an Early Applicant Remote Hiring Remotely in USA Senior level Remote Hiring Remotely in USA Senior level Owns the hardware lifecycle for GPU and infrastructure assets, including fleet health monitoring, vendor RMA workflows, firmware and BIOS upgrades, burn-in testing, failure investigation, inventory accuracy, capacity planning, spare-parts strategy, runbook creation, and new platform qualification. The role serves as the technical owner of physical compute platforms and supports high-density GPU infrastructure across sites. The summary above was generated by AI Hardware Engineer, The Hardware Engineer owns hardware lifecycle for GPU and supporting infrastructure assets, including fleet health monitoring, RMA workflows, firmware management, and long-range capacity planning. The role is the technical owner of the physical compute platform. Key responsibilities

• Monitor GPU and server health including thermal, error rates, and component failures
• Drive the RMA process with vendors (NVIDIA, Supermicro, HPE, and others) end-to-end
• Manage firmware, BIOS, and BMC upgrade campaigns across the fleet
• Develop hardware burn-in and acceptance test procedures, including NCCL and stress tests
• Investigate hardware failures and produce vendor-grade root cause analyses
• Maintain hardware inventory, asset records, and CMDB accuracy
• Drive capacity planning across compute, storage, and networking
• Coordinate with Procurement on spare parts strategy and stocking levels
• Author hardware engineering runbooks and operational procedures
• Support new platform bring-up, qualification, and reference architecture validation, Validate server hardware components and new platform designs through power, thermal, performance, firmware, and automation testing. Maintain hardware test infrastructure, document technical findings, coordinate with ODM/OEM partners, and collaborate with software teams on BIOS, kernel, and firmware optimization. The role requires expertise in server architectures, validation methodologies, Linux, Python, Bash, Redfish, IPMI, and industry standards including PCIe, NVMe, and DDR. Top Skills: BashBiosBmcCloud InfrastructureContainerizationDdrFirmwareGpusIpmiKernelLinuxNvmeOcpOpenbmcPcie Gen6PythonRedfish General Motors, Lead development of high-fidelity component plant models in MATLAB/Simulink for electrical, mechanical, and software interfaces. Collaborate with suppliers and cross-functional teams to parameterize, validate, and integrate models into CoSim/SIL/HIL environments (FMU export). Define modeling standards, lead correlation/validation strategies, document assumptions, and mentor peers to scale virtual hardware modeling across programs.

• 5+ years in hardware engineering, systems engineering, or data center engineering
• Deep knowledge of x86 server architecture, GPU systems, and modern storage
• Hands-on experience with NVIDIA HGX, DGX, or hyperscale-class systems
• Strong Linux fundamentals and scripting skills (Python, Bash)
• Bachelor’s degree in computer science, electrical engineering, or related field

Preferred qualifications

• Experience with NVIDIA Mission Control, Base Command Manager, or Bright Cluster Manager
• Familiarity with IPMI, Redfish, and vendor management interfaces
• Knowledge of liquid cooling and high-density power architectures
• Experience operating fleets of 1,000+ GPUs

Remote or Hybrid Junior Junior Automotive * Big Data * Information Technology * Robotics * Software * Transportation * Manufacturing Develop high-fidelity MATLAB/Simulink component plant models that emulate electrical, mechanical, and software interfaces. Collaborate with suppliers and cross-functional teams to define requirements, parameterize and validate models, export FMUs for co-simulation, integrate models into vehicle-level sims, run virtual tests and what-if studies, document assumptions and validation, and help define modeling standards and best practices. Top Skills: CosimFmuMatlabSilSimulink

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