Senior Linux Kernel Architect - Lead Virtualization & GPUs

ProducePay; United States; On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Health, dental, vision

Paid time off

Parental leave

Professional development

401(k) matching

Life insurance

Travel insurance

Stipends

Job summary

Crusoe is seeking a seasoned systems architect to set the technical direction for its Linux kernel team. You will own the roadmap, architect critical projects, and mentor engineers to deliver production-ready infrastructure at scale.

The role emphasizes high-level design and hands-on kernel coding, tackling complex problems while guiding the team across energy and compute workloads. You will influence across product and hardware teams and thrive in a fast-moving environment.

Qualifications

• 10+ years in systems software; 3+ in technical leadership across infra teams.
• Expert Linux kernel internals and virtualization (KVM/Xen/QEMU).
• Strong C skills; kernel workflow, patch submission, security debugging.
• Proficient in Go/Rust/Python; familiar with CI/CD and deployment tooling.

Responsibilities

• Virtualization Architecture: Design and implement advanced virtualization technologies tailored for GPU-accelerated AI and HPC workloads.
• Linux Kernel & Driver Development: Develop and maintain upstream-first kernel code and device drivers.
• Debugging & Security: Perform deep-dive root-cause analysis; lead triage and backporting for kernel CVEs with automated tooling.
• Leadership: Lead and grow a high-performing systems team.

Skills

Linux kernel internals

Virtualization

C programming

Go/Python/Rust

CI/CD tooling

Technical leadership

Code reviews

Security debugging

Job description

Crusoe is seeking a seasoned systems architect to set the technical direction for its Linux kernel team. You will own the roadmap, architect critical projects, and mentor engineers to deliver production-ready infrastructure at scale.

The role emphasizes high-level design and hands-on kernel coding, tackling complex problems while guiding the team across energy and compute workloads. You will influence across product and hardware teams and thrive in a fast-moving environment.