CoreWeave
Sr. Software Engineer, Sandboxes & Virtualization
$153K–$204K
Livingston, NJ / Sunnyvale, CA / Bellevue, WA +3 · Senior · Full-time · Posted Sep 2, 2026
- Location
- Livingston, NJ / Sunnyvale, CA / Bellevue, WA
Bellevue, WA
Livingston, New Jersey, United States
Sunnyvale, California, United States - Experience
- 3+ years in systems, platform, infrastructure, or production engineering at scale.
- Visa sponsorship
- Applicants must meet one of the stated export-control eligibility conditions: be a U.S. person; be eligible to access the information without export authorization; or be eligible and reasonably likely to obtain required authorization. CoreWeave may decline to pursue export licensing for legitimate business reasons.
About the job
Designs and operates secure, high-performance sandboxed runtimes and virtualization environments for GPU-accelerated Kubernetes workloads in multi-tenant platforms.
What you'll do
- Build secure execution environments and GPU-aware scheduling, isolation, and resource management.
- Profile and optimize performance across container, VM, I/O, runtime, virtualization, and GPU stacks.
- Collaborate with security, platform, and infrastructure teams on runtime isolation and performance standards.
What they ask for
- Hands-on Kubernetes, container orchestration, and cloud-native architecture experience, including controllers, operators, or scheduling extensions.
- Experience designing, implementing, or operating secure execution environments.
- Practical experience with lightweight virtualization and sandboxing technologies.
- Go programming proficiency, strong Linux internals knowledge, and experience supporting GPU-accelerated workloads in multi-tenant environments.
Nice to have
- Experience safely executing untrusted or sensitive workloads in shared environments.
- Familiarity with GPU drivers, low-level virtualization or I/O optimization, or threat modeling and runtime security policies.
Pay
$153,000 to $204,000 USD base salary
Tools
Kubernetes, Go, Linux, Kata Containers, gVisor, KubeVirt, QEMU
AI focus
Supports secure, isolated, high-performance execution environments for AI-driven, GPU-accelerated workloads.
Model-written summary · the original posting is authoritative