
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.
🔥 2 minutes ago
🏄 California, Colorado, +2 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago
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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.
• Partner with AI-lab customers on large data center GPU and networking deployments • Guide architecture decisions across network, compute, and storage, including fabric design • Support on-site bring-up of server, network, and cluster infrastructure in customer data centers • Demonstrate expertise in Spectrum-X, BlueField DPU, InfiniBand, RoCE, and related advanced GPU and network systems • Run technical account reviews covering roadmap alignment, cluster issues, feature discussions, and technology introductions • Capture customer requirements and translate them into feedback for product, architecture, and engineering teams • Analyze and debug configuration and performance issues in RoCE and InfiniBand environments • Work across NICs, switches, Linux, and system software to deliver reliable AI clusters • Identify and shape project opportunities for NVIDIA GPUs, networking, and software • Collaborate with Systems Engineering, Product Management, and Sales to align solutions with customer outcomes • Build targeted proofs of concept showcasing NVIDIA’s networking stack in real customer environments • Travel occasionally, approximately 20%, for customer site visits and industry events
• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, or other Engineering fields or equivalent experience • 6+ years of hands-on network engineering experience in data center or cloud environments • Expert-level troubleshooting of data center networks, including packet-level, control plane, and fabric behavior • Deep knowledge of BGP, OSPF, and L2/L3 switching in large-scale data center or cloud networks • Experience with high-density switching at cloud or hyperscale preferred • Experience with InfiniBand or RoCE is a major plus • Understanding of CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers • Strong time management and ability to context-switch across multiple customers and projects • Excellent written and verbal communication, including design documents, customer presentations, and root-cause summaries • Experience in Python, Bash, or C/C++ for network automation, validation, and debugging preferred • Hands-on experience with NVIDIA GPUs, NICs, DPUs, or ARM-based CPU platforms preferred • Pre-sales, post-sales, field engineering, or consulting experience with external enterprise or cloud customers preferred • Direct experience bringing up and operating large clusters or supercomputing environments preferred • Familiarity with virtualization, containers, and cloud networking concepts preferred
• Equity • Benefits • Remote work location • Conferencing tools • Occasional travel to customer sites and industry events
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