5 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Debug multi-rack, multi-tenant clusters, including scheduler behavior, container runtimes, device plugins, and RDMA/InfiniBand fabric issues.
- Gather customer requirements and prototype extensions for Kubernetes operators, Slurm plugins, and GPU-capability microservices.
- Lead architecture reviews and whiteboard sessions with CSP and internal platform teams, translating findings into RFCs and upstream pull requests.
- Create customer-representative testbeds with Helm, Ansible, and Terraform and automate validation and benchmark suites.
- Produce design documents, how-to guides, and demo scripts and present them at customer sites, KubeCon, and SlurmUG.
- Collaborate with account executives, field application engineers, and solution architects to deliver integrated customer solutions and documentation.
Requirements
- Strong source-level expertise in Kubernetes internals, including the scheduler, CRI, CNI, CSI, and operators.
- Hands-on experience integrating Blackwell, GB200, GB300, or comparable accelerators into containerized clusters.
- Demonstrated ability to debug large-scale cloud-native stacks across RDMA/RoCE networking, storage, and control planes.
- Customer-facing engineering or solutions-architecture experience involving requirements gathering, proof-of-concept ownership, and roadmap influence.
- Familiarity with GitHub Actions, Tekton, Prometheus, OpenTelemetry, and infrastructure-as-code.
- Excellent communication skills across deep technical and high-level business contexts.
- 10+ years of professional software development experience in distributed systems using Go, Rust, C, C++, or Python for tooling.
- BS or MS, or equivalent experience, in Computer Engineering, Computer Science, or a related field.
- Preferred qualifications include upstream contributions to Kubernetes, Slurm, Volcano, or similar projects and experience with CUDA and deep-learning workloads.
Benefits
- Equity and benefits are provided.
- Base salary is determined by location, experience, and comparable employee pay.
- The application is for an existing vacancy and will be accepted at least until September 5, 2026.
Categories
DevOpsSolutions Engineering
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.