NVIDIA · 5 months ago
Senior Software Engineer, Cloud-Native Stack – CSP Engagements
US, TX, Austin
Full-time
Onsite
Senior Level
$184K/yr - $288K/yr
6+ years expNVIDIA is a leading technology company known for groundbreaking developments in Artificial Intelligence and High-Performance Computing. They are seeking a Senior Software Engineer for their CSP Engagements team to focus on the cloud-native stack for datacenter products, tackling complex scheduling challenges and enhancing Kubernetes and Slurm functionalities.
Computer Hardware Manufacturing
Responsibilities
Perform deep-dive debugging of multi-rack, multi-tenant clusters: scheduler behavior, container runtime issues, device-plugin crashes, RDMA/IB fabric anomalies, etc
Gather customer requirements and prototype feature extensions for Kubernetes operators, Slurm plugins, and custom micro-services that expose new GPU capabilities
Drive joint architecture reviews and 'whiteboard' sessions with CSP and internal platform teams; convert findings into RFCs and upstream pull requests
Create reproducible testbeds (Helm/Ansible/Terraform) that mirror customer environments; automate validation and benchmark suites
Deliver technical collateral-design docs, how-to guides, demo scripts-and present at customer on-sites, KubeCon, and SlurmUG
Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation
Qualification
Required
Strong source-level expertise in Kubernetes internals (scheduler, CRI/CNI/CSI, operators) and Slurm (federation, power-save, plugins)
Hands-on experience integrating next-gen GPUs (Blackwell/GB200/GB300) or comparable accelerators into containerized clusters
Proven track record debugging large-scale, cloud-native stacks across networking (RDMA/RoCE), storage, and control planes
Customer-facing engineering or solutions-architect background: requirements gathering, PoC ownership, roadmap influence
Familiarity with CI/CD (GitHub Actions, Tekton), observability (Prometheus, OpenTelemetry), and infrastructure-as-code
Excellent communication-able to switch between deep technical detail and high-level business impact
6+ years of professional software development experience in distributed systems (Go, Rust, C/C++ or Python for tooling)
BS or MS (or equivalent experience) in Computer Engineering, Computer Science, or related field
Preferred
Upstream contributions to Kubernetes, Slurm, Volcano, or similar projects
Experience with GPU computing (CUDA), deep learning workloads
Benefits
Equity
Benefits
Company
NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing.
10,001+ employees
H1B Sponsorship
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Funding
Current Stage
Late StageCompany data provided by crunchbase