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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Sandboxes & Virtualization - **Company:** Coreweave Inc - **Location:** Livingston, United States - **Experience:** Expert - **Salary:** $182,000.0 - $242,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Bash Shell, C++ (Programming Language), Cloud Engineering, Profiling, Linux, Linux Kernel, Performance Tuning, Software Architecture, Quick EMUlator (QEMU), Virtualization Technology, Rust (Programming Language), Kubernetes, Optimization Algorithms, Hardware Infrastructure - **Published:** September 24, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-sandboxes-virtualization-coreweave-2-10174053 ## About the Role * 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. ## Description 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., As a GPU & Runtime Systems Engineer, you will design, build, and evolve secure sandboxed runtime environments for Kubernetes workloads, focusing on runtime isolation, performance, and security. You will integrate container runtimes, lightweight VMs, and virtualization technologies to support GPU-accelerated workloads in multi-tenant environments. Day-to-day, you'll develop GPU-aware sandboxing and scheduling strategies, optimize containerization and I/O performance for latency-sensitive workloads, and influence architectural decisions across Linux internals, container runtimes, virtualization layers, and GPU drivers. Some of what you'll work on: * 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., * Experience building 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. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Old tools, new tricks](https://www.wearedevelopers.com/videos/1916-old-tools-new-tricks) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Your AI Agent is just a while loop with an API call. Let me prove it](https://www.wearedevelopers.com/videos/1988-your-ai-agent-is-just-a-while-loop-with-an-api-call-let-me-prove-it) - [Enhancing Workload Security in Kubernetes](https://www.wearedevelopers.com/videos/356-enhancing-workload-security-in-kubernetes) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data) - [Dev Digest 138 - Are you secure about this?](https://www.wearedevelopers.com/magazine/486-dev-digest-138-are-you-secure-about-this) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)