Senior Software Engineer, Sandboxes & Virtualization

About the role

The Runtime & GPU Systems team builds and operates secure, high-performance environments for multi-tenant Kubernetes platforms at scale. Our team sits at the intersection of container runtimes, lightweight virtualization, GPU infrastructure, and Linux systems engineering. We partner closely with security, platform, and GPU infrastructure teams to deliver robust, isolated, and efficient execution environments for AI-driven workloads.

Responsibilities

• Design and implement secure execution environments for containerized and virtualized workloads.
• Build GPU-aware scheduling, isolation, and resource management strategies for multi-tenant workloads.
• Optimize container, VM, and I/O performance across GPU-accelerated workloads.
• Conduct profiling, benchmarking, and performance tuning for runtime, virtualization, and GPU stacks.
• Contribute to architectural decisions across Linux internals, container runtimes, virtualization layers, and GPU drivers.
• Collaborate with security, platform, and infrastructure teams to define and implement runtime isolation and performance standards.

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, C/C++, Rust, Bash) 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.

Preferred Experience

• Built systems for safely executing untrusted or sensitive workloads in shared environments.
• Familiarity with GPU drivers and low-level virtualization or I/O optimization techniques.
• Experience defining threat models and implementing runtime security policies in multi-tenant systems.

Benefits

• Medical, dental, and vision insurance - 100% paid by CoreWeave.
• Company-paid Life Insurance.
• Voluntary supplemental life insurance.
• Short and long-term disability insurance.
• Flexible Spending Account (FSA).
• Health Savings Account (HSA).
• Tuition Reimbursement.
• Ability to participate in 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 our office and data center locations.
• A casual work environment.
• A work culture focused on innovative disruption.

Pay

The base salary range for this role is $139,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.

Schedule

We are looking for someone who can work full-time.