Sr HPC Hardware Engineer

RESPONSIBILITIES

• Design, configure, and manage a high-performance compute fleet comprising large-scale GPU (NVIDIA V100/A100/H200/GB200) and CPU nodes across the firm's infrastructure.
• Own the full firmware and BIOS lifecycle across the HPC/AI fleet — from establishing baselines and validation through rollout, compliance, and ongoing maintenance.
• Lead troubleshooting of hardware components including CPUs, GPUs, DPUs, NV Switches, NICs, memory, PSUs, and BMCs; drive component replacement and configuration remediation.
• Automate health checks, onboarding workflows, and recurring hardware issue remediation to accelerate safe deployment and reduce recovery time.
• Validate and operationalize next-generation AI platforms (e.g., NVL
  72 / Grace Blackwell) from day one, ensuring stability, performance readiness, and production fitness.
• Collaborate with vendors on firmware and hardware issues, providing clear reproduction cases, diagnostic logs, and business impact to drive timely resolution.
• Perform hardware performance analysis, tuning, and capacity planning to ensure reliable scale-out of the compute environment.
• Define and implement security hardening best practices for hardware infrastructure, maintaining platform integrity across the fleet.
• Leverage Infrastructure as Code (IaC) methodologies and scripting to drive efficient, repeatable, and scalable infrastructure management.
• Mentor junior engineers, act as a subject matter expert for infrastructure-related escalations, and champion a culture of continuous improvement across the team.

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent hands‑on experience.
• 8+ years of experience managing large-scale HPC or AI compute infrastructure in a production environment.
• Deep knowledge of server hardware architecture, including processors, memory, storage, networking, power systems, and thermal management.
• Hands‑on experience with bare-metal provisioning, firmware and BIOS lifecycle management, and hardware automation tools such as Ansible, Puppet, or Chef.
• Proficiency with Redfish API and BMC/IPMI tooling (iDRAC, iLO) for remote hardware management and diagnostics.
• Demonstrated ability to troubleshoot and resolve complex hardware issues across GPU and CPU nodes, including NVIDIA-SMI and GPU diagnostics.
• Experience with hardware monitoring platforms, performance tuning, and capacity planning at scale.
• Familiarity with Linux-based environments and scripting proficiency in Python, Bash, or Power Shell for infrastructure automation.
• Experience with Open Stack (particularly Ironic) or equivalent cloud/bare-metal provisioning platforms is strongly preferred.
• Strong cross-functional communication skills and proven ability to collaborate effectively with software, networking, and vendor teams.
• Prior technical leadership experience, including mentoring engineers and driving team-wide best practices.