Sr. Software Engineer, Sandboxes & Virtualization

Highlights

• Design secure execution environments for AI-driven workloads at scale.
• Build GPU-aware scheduling and isolation for multi-tenant platforms.
• Tune runtime and I/O performance for latency-sensitive workloads.

What they offer

• Tuition Reimbursement
• Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in office and data center locations
• A casual work environment

Ideal candidate

A systems-minded problem solver who thrives on performance tuning and isolation challenges and cares deeply about building secure, efficient platforms for demanding AI workloads.

Requirements

• 3+ years of experience in systems, platform, infrastructure, or production engineering at scale.
• Strong hands-on experience with Kubernetes, container orchestration, and cloud-native architectures, including controllers, operators, or scheduling extensions.
• Experience designing, implementing, or operating secure execution environments (container runtimes, sandboxed workloads, or virtualized systems).
• Practical experience with lightweight virtualization and sandboxing technologies (e.g., Kata Containers, gVisor, KubeVirt, QEMU).
• Experience supporting GPU-accelerated workloads in multi-tenant environments, including GPU scheduling, isolation, device passthrough, mediated devices, or virtualization.
• Proficient in systems-oriented programming (Go) with strong Linux internals knowledge.
• Skilled at diagnosing and resolving complex performance, reliability, or isolation issues across containers, VMs, and infrastructure.
• Experienced in profiling, benchmarking, and tuning performance across runtime, virtualization, and GPU stacks.