Senior Solutions Architect, First Time Deployment HW/MEP

🕒 July 14

🏄 California, Texas, +2 more states – Remote

🏄 California – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $148k - $235.8k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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👻 Ghost score 20%

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.

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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

• NVIS Data Center deployment planning: Collaborate with product and engineering groups to understand NVIDIA’s reference architectures for data center infrastructure, encompassing power distribution, cooling systems, controls and monitoring, and network/cabling layout. • Assist customers and partners in quickly integrating this architecture into sophisticated and dependable data center projects. • Build and construction oversight: Review and appraise customers' and partners' infrastructure build plans, verifying their compliance with NVIDIA reference architecture, industry standards, and regulatory requirements. • Deliver mentorship, expertise, and suggestions to optimize performance, scalability, and cost-effectiveness. • Ensure collaboration with our customers and partners on reference architecture, guidelines, and processes to support their successful deployments. • Analyze the operational efficiency, reliability, and readiness of data center infrastructure components before launching AI/HPC clusters. • Prepare and complete comprehensive audit plans and conduct pre-deployment audits to detect potential issues, risks, and areas for improvement. • Work in close partnership with engineering, product, infrastructure, and customer-facing groups to guarantee consistency on reference architecture, deployment standards, and readiness criteria. • Quality Assurance: Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks. • Conduct detailed bring-up, testing, and commissioning to validate the functionality and reliability of infrastructure components. • Continuous Improvement: Drive continuous improvement initiatives to improve reliability, resilience, and sustainability. • Find opportunities to streamline processes, automate repetitive tasks, and apply new technologies to optimize infrastructure operations. • Collaboration and Communication: Cooperate and exchange information across internal teams, external vendors, and customers to guarantee the smooth integration of data center infrastructure solutions. • Serve as a subject matter expert and main contact for infrastructure-related inquiries and urgent issues.

🎯 Requirements

• Bachelor's degree or equivalent experience in Engineering or a related field. • An advanced degree or similar experience or relevant certifications are advantageous. • A minimum of 6+ years of experience working in data centers or a similar field. • Proven knowledge of mechanical/electrical systems in infrastructure engineering or management roles. • Solid technical expertise and background in data center systems and processes—power delivery, liquid cooling, rack/server chassis, and cabling. • Proven technical and project leadership under fluid situations, and ability to adapt to change. • Strong communication internally and with customers. • Excellent analytical, problem-solving, communication and decision-making skills, keen attention to detail, and a dedication to quality. • Strong record of excellent partnership and putting the mission's success first. • Coordination & Time Management – proficient at planning, scheduling, and coordinating tasks related to the job to accomplish objectives within or ahead of designated time frames. • Ability to travel (40%).

🏖️ Benefits

• Equity • Benefits