Senior Solutions Architect – Enterprise AI Factories

🔥 0 minutes ago

🏄 California, North Carolina, +1 more states – Remote

🏄 California – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Serve as a trusted advisor by mapping complex customer workloads to NVIDIA’s technology stack • Co-design scalable architectures with NVIDIA integration partners, select OEMs, and end customers • Define technical direction, integration milestones, and deployment plans • Design, validate, and support customer solutions hands-on • Identify gaps between customer and partner needs and NVIDIA offerings • Communicate insights shaping internal product and engineering priorities • Lead technical engagements and help customers troubleshoot complex issues • Drive technical enablement and adoption of NVIDIA SDKs, frameworks, and systems • Partner with engineering and product teams for successful deployment and continuous improvement • Build and share knowledge and infrastructure insights for NVIDIA platforms • Tailor on-premises solutions to specific environments and workloads while balancing risk, performance, and supportability • Support NVIDIA partners, OEMs, developers, enterprises, and customers adopting and scaling AI Factory platforms

🎯 Requirements

• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field • 5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management • 3–5+ years of direct, hands-on experience with compute, networking, and storage hardware and software platforms • Deep technical expertise in system management software, operating systems, system firmware, and hardware infrastructure deployed at scale • Track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries • Ability to communicate complex technical ideas to technical and non-technical audiences, from engineers to C-level executives • Strong problem-solving skills and intellectual curiosity • Hands-on experience deploying, using, and operating on-premises AI-focused solutions • Experience with system architectures, rack-scale firmware, cluster management software, workload management software, and associated hardware • Experience with cluster management tools such as NVIDIA Base Command Manager and MaaS • Experience with workload orchestration software such as Slurm and Kubernetes • Practical knowledge of BMCs, PCIe communication, network topologies, and system/rack-scale hardware

🏖️ Benefits

• Equity • Benefits • Remote work locations • Occasional travel to local customer visits and industry events