
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🕒 September 15
🏄 California, Colorado, +3 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 17%
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship September 15
Still open on NVIDIA's site. Checked 5 hours ago.

10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Own and evolve the Kubernetes networking architecture for GPU clusters running at multi-thousand-node scale • Design, operate and scale the overlay network - CNI, mesh and VPN topologies (Tailscale, WireGuard), and the gateways that connect control and data planes • Design, operate and scale the L7 gateways/load balancers/tunnels (Envoy, Cloudflare) • Find and eliminate scale ceilings including packet loss under load, control-plane saturation, IP address management exhaustion, and large-scale failure modes • Build scale-test environments and validation suites to catch networking regressions before production training runs • Diagnose ambiguous problems across the stack, tracing symptoms in Slurm or training jobs to network root causes • Partner with cloud and neocloud providers on network topology, requirements and capabilities for new clusters • Provide senior technical judgment to a distributed team in the Cluster Networking domain
• BS/MS in Computer Science, Electrical Engineering or a related field, or equivalent experience • 6+ years of professional experience in systems, network or infrastructure software engineering • Deep command of Kubernetes networking architecture and CNI standards, with production experience operating Calico strongly preferred • Proficiency designing and maintaining modern mesh and VPN networking topologies - Tailscale, WireGuard or equivalent • Strong Linux networking fundamentals: routing, netfilter and iptables/nftables, packet marking, network namespaces, and how these interact with container runtimes • Demonstrated ability to debug distributed network problems at scale - packet capture, tracing, and correlating behaviour across many hosts to find a single root cause • Proficiency in Go, Python, C or a comparable systems language • Clear written and verbal communication, and the ability to work effectively with engineers across multiple time zones • Direct experience architecting and operating massive-scale Kubernetes topologies across thousands of concurrent nodes • Experience with high-performance fabrics in AI or HPC environments - InfiniBand, RoCE, or RDMA over converged networks • Upstream contributions to Calico, Cilium, Tailscale, or Kubernetes networking SIGs • Experience operating networking across multiple public clouds and on-premises environments simultaneously • Familiarity with Slurm or other HPC schedulers running on Kubernetes
• Equity • Benefits
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