Principal Systems Software Engineer

Responsibilities

• Architect systems for Bare-Metal-as-a-Service (BMaaS), delivering GPU throughput through InfiniBand/RDMA fabrics for large-scale training.
• Design optimized virtualization layers using KVM or custom micro-VMs, providing enterprise-grade isolation with minimal virtualization overhead.
• Build a high-performance container substrate using Kubernetes or Slurm for AI workloads across heterogeneous GPU nodes.
• Lead architectural design for SR-IOV, RDMA, and virtualized GPU scheduling.
• Lead R&D workstreams to productionize novel approaches to memory, networking, and compute management.
• Draft white papers and RFCs defining the compute and networking stack roadmap.
• Debug complex I/O-path race conditions and optimize kernel-level memory pinning for GPU clusters.
• Represent the company in open-source communities and industry forums.

Requirements

• 12+ years of experience designing and shipping core infrastructure at a major hyperscaler or specialized HPC cloud.
• Authoritative knowledge of the Linux kernel, virtualization internals, KVM, QEMU, Firecracker, and high-performance networking including RoCE v2 and InfiniBand.
• Experience designing software that maximizes NVIDIA or AMD GPU and high-speed NIC performance.
• Experience leading cross-functional teams through ambiguous projects and delivering production-ready, mission-critical systems.
• Significant contributions to the field through patents, major open-source contributions, or published distributed-systems research.
• Excellent communication skills, including explaining systems concepts to technical and executive audiences.
• Bachelor's or master's degree in Computer Science, Computer Engineering, or a related analytical field, or equivalent professional experience.

Nice-to-haves

• Patents related to network virtualization, GPU scheduling, or distributed file systems.
• Maintainer status or significant contributions to the Linux kernel, Kubernetes, or specialized HPC projects.
• Experience optimizing infrastructure for large language model training and inference at scale.
• Peer-reviewed publications at systems venues such as OSDI, SOSP, NSDI, or SC.
• IETF RFCs, significant open-source contributions, or industry white papers on distributed systems, high-performance networking, or AI infrastructure.

Compensation and Benefits

• Compensation range: $260,000–$340,000, plus significant equity and bonus.
• Restricted Stock Units.
• Paid time off and paid holidays.
• Comprehensive health, dental, and vision insurance.
• Employer HSA contributions.
• Paid parental leave.
• Paid life insurance and short- and long-term disability coverage.
• Professional development and tuition reimbursement.
• Mental health and wellness support.
• Commuter benefits for parking and transit.
• Cell phone stipend.
• 401(k) retirement plan with company match up to 4% of salary.
• Volunteer time off.