Senior Hardware Systems Engineer — AI HPC Performance Lead

Crusoe; Sunnyvale (CA); On-site; USD 170,000 - 205,000; Full time

Benefits offered by this job

Health insurance

401(k) with match

Employee stock options

Paid parental leave

Commuter benefits

Job summary

Crusoe is seeking a Senior/Staff Hardware Systems Engineer to strengthen the hardware systems engineering team. You will run full hardware lifecycles from prototype bring-up to large-scale production, driving automation and deep issue resolution across Crusoe Cloud’s GPU- and CPU-based infrastructure.

Collaborating with hardware, software, and vendor teams, you will optimize performance and reliability of AI-first compute systems, shaping platform architecture and roadmaps for scalable

Qualifications

• 5-6+ years in hardware systems engineering or related fields.
• Experience with large-scale GPU/accelerated infrastructure for AI/ML or HPC.
• Experience with workload benchmarking and performance tuning across hardware/software.

Responsibilities

• Drive end-to-end lifecycle of next-generation compute platforms from bring-up to production readiness.
• Define and execute performance characterization strategies for CPU, GPU, and accelerated computing platforms.
• Conduct workload studies across training and inference models to understand compute, memory, and I/O behavior.
• Translate insights into cluster-level tuning, topology decisions, and scheduling settings.
• Build and maintain workload performance profiles and reference configurations for deployments.

Skills

Hardware systems

Performance engineering

ML systems

Python

Shell

Telemetry analysis

System bring-up

Issue debugging

Cross-functional collaboration

Problem solving

Education

Bachelor's or Master's in Electrical/Computer Engineering or CS

Tools

Python

Shell

Job description

Crusoe is seeking a Senior/Staff Hardware Systems Engineer to strengthen the hardware systems engineering team. You will run full hardware lifecycles from prototype bring-up to large-scale production, driving automation and deep issue resolution across Crusoe Cloud’s GPU- and CPU-based infrastructure.

Collaborating with hardware, software, and vendor teams, you will optimize performance and reliability of AI-first compute systems, shaping platform architecture and roadmaps for scalable