Solutions Architect

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Guide partners in adopting end-to-end Agentic AI solutions using NVIDIA compute, networking, and software stacks • Design, build, and maintain large-scale HPC and AI hybrid computing solutions • Help partners deploy and operationalize AI solutions at scale • Use cloud-native methodologies, low-latency networks, and accelerated compute to build modern AI factories • Deliver demos and assist with proofs of concept • Write papers and developer blogs • Collaborate with executives and engineering teams to solve complex problems • Bring NVIDIA technologies to life in cloud and datacenter environments

🎯 Requirements

• BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience) • Established track record working with AI and HPC clusters, both on-premises and cloud based • 5+ years of proven experience with cluster management and related tools • Experience with Docker Containers, Slurm, Kubernetes, and Ansible • Hands-on experience with network, storage, cluster configuration and debugging • Strong analytical and problem-solving skills • Ability to articulate technical knowledge to others • Ability to multitask efficiently in a dynamic environment • Strong channel sales knowledge and partner co-selling experience • Strong coding and debugging skills, including Python, C/C++, Bash, and Linux utilities • Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other high-performance cluster and hybrid cloud areas • Hands-on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs • Willingness and ability to learn quickly and solve advanced problems

🏖️ Benefits

• Equity • Benefits

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