What You'll Do:
About the Team
The team is responsible for building and operating secure, high-performance runtime environments that power multi-tenant Kubernetes platforms at scale. We sit at the intersection of container runtimes, lightweight virtualization, GPU infrastructure, and Linux systems engineering. Our mission is to deliver robust, isolated, and efficient execution environments for GPU-accelerated and AI-driven workloads, partnering closely with security, platform, and GPU infrastructure teams to define and implement best-in-class isolation and performance standards.
About the Role:
In this role, you will design, build, and evolve secure sandboxed runtime environments for workloads running on Kubernetes, with a strong emphasis on runtime isolation, performance, and security. You will develop platforms that integrate container runtimes, lightweight virtual machines, and virtualization technologies, while engineering support for GPU-accelerated workloads in multi-tenant environments. Day-to-day, you'll design GPU-aware sandboxing and scheduling strategies, optimize containerization and I/O performance for latency-sensitive workloads, and build systems capable of safely executing untrusted or shared GPU workloads. You'll also contribute to architectural decisions across Linux internals, container runtimes, virtualization layers, and GPU drivers to ensure long-term scalability and operational excellence.
Who You Are:
3+ years of experience in systems, platform, infrastructure, or production engineering roles building and operating software at scale.
Strong hands-on experience with Kubernetes, container orchestration, and cloud-native architectures, including building Kubernetes-native components (e.g., controllers, operators, or scheduling extensions).
Demonstrated experience designing, implementing, or operating secure execution environments such as container runtimes, sandboxed workloads, or virtualized systems.
Practical experience with lightweight virtualization and sandboxing technologies (e.g., Kata Containers, gVisor, KubeVirt, QEMU, or similar).
Experience supporting or optimizing GPU-accelerated workloads in multi-tenant environments, including knowledge of GPU scheduling, isolation, device passthrough, mediated devices, or GPU virtualization concepts.
Proficiency in systems-oriented programming (Go, C/C++, Rust, or Bash) with a strong understanding of Linux internals and operating system behavior.
Experience diagnosing and resolving complex performance, reliability, or isolation issues across containers, virtual machines, and underlying infrastructure.
Experience conducting profiling, benchmarking, and performance tuning across runtime, virtualization, and GPU stacks.
Preferred:
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.
Wondering if you're a good fit?
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you arent a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.
You love building high-performance systems that operate reliably under extreme scale and demand.
You're curious about the intersection of security, virtualization, Kubernetes, and GPU infrastructure.
You're an expert in reasoning about tradeoffs between isolation, performance, and operability.
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:
Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
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. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).