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CoreWeave · 2 days ago

Principal Engineer, Cloud Infrastructure Services

Sunnyvale, CA

Full-time

Hybrid

Lead/Staff

$206K/yr - $303K/yr

15+ years exp

CoreWeave is The Essential Cloud for AI™, delivering a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. The Principal Engineer will lead deep technical innovation across CoreWeave’s Cloud Infrastructure Services, architecting and optimizing the full stack to support demanding AI workloads.

Artificial Intelligence (AI)Cloud ComputingCloud InfrastructureInformation TechnologyMachine Learning

No H1B

U.S. Citizen Only

Responsibilities

Architect the next generation of infrastructure powering the planet’s most demanding AI workloads, focusing on system-level security, performance, resource efficiency, and resilience

Drive hardware/software co-design, optimizing how modern GPUs, CPUs, networking, and accelerators interface with orchestration layers like Kubernetes, custom schedulers, and workload APIs

Lead cross-functional engineering efforts to optimize the end-to-end performance stack—from silicon to software—for both training and inference use cases

Architect and implement innovations across low-level systems, firmware interactions, high-throughput storage, custom networking stacks, and software abstractions

Identify and eliminate performance bottlenecks, pushing system boundaries through profiling, tuning, and distributed architecture improvements

Serve as a technical authority and mentor, guiding architectural decisions and fostering a culture of engineering excellence across the infrastructure and platform orgs

Qualification

Infrastructure architectureHardware/software integrationDistributed systems tuningLinux internalsKubernetesCloud infrastructure servicesNVIDIA GPU architecturesTechnical communicationMentorship

Required

15+ years of experience in infrastructure, systems engineering, or hardware/software integration at scale

Proven experience working across bare metal, containerized, and cloud-native environments

Deep expertise in at least one of: distributed systems performance tuning, hardware-software co-optimization, networking internals, or GPU-intensive workloads

Strong hands-on knowledge of Linux internals, orchestration (Kubernetes), and low-level performance tools

Experience building cloud infrastructure services

Exceptional ability to simplify complexity and communicate technical decisions to both engineers and executives