Senior Systems Engineer, Compute

Responsibilities

• Design highly reliable and performant Linux applications to manage the virtualization stack across global datacenters
• Integrate applications with hardware and software AI chip-vendor stacks, optimizing GPUs, Infiniband/ROCe NICs, and ephemeral storage
• Work with Linux Kernel and Hypervisor teams to ensure seamless application integration
• Analyze and enhance virtualization stack performance, focusing on optimizing AI/ML workloads
• Diagnose and resolve complex system issues across drivers, kernel, hypervisor, and guest OS
• Conduct code reviews to ensure software quality, reliability, and security
• Provide technical guidance and mentorship to junior engineers

Requirements

• Experience building applications on Linux kernels (virtualization, device drivers, memory management, process scheduling)
• Solid understanding of hardware devices including GPUs, CPUs, Infiniband, Ethernet NICs, and PCI Express
• Strong grasp of distributed applications and scalable systems design (gRPC, REST, TCP/IP, Postgres, Redis, Kafka)
• Proficiency in high-level languages (Golang, Java, Python) and low-level languages (C, C++, Rust)
• Knowledge of hypervisors, virtual machine lifecycles, and Linux KVM tooling
• Understanding of CI/CD pipelines (GitLab or GitHub)
• Excellent communication and collaborative skills

Preferred Qualifications

• Experience with virtualization specifically for AI/ML workloads and GPU virtualization
• Experience debugging or contributing to kernel or hypervisor code
• Experience configuring thousands of live compute nodes in bare-metal production environments

Benefits

• Competitive compensation and Restricted Stock Units
• Comprehensive health, dental, and vision insurance
• 401(k) retirement plan with up to 4% company match
• Paid parental leave and volunteer time off
• Professional development and tuition reimbursement
• Mental health and wellness support