
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.
🕒 June 3
🌵 Arizona, California, +1 more states – Remote
💵 $124k - $235.8k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 33%
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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.
• Collaborate with teams to plan and implement data center infrastructure solutions based on NVIDIA Datacenter reference architecture, including power distribution, cooling systems, network architecture, server hardware, and storage systems. • Plan and manage deployment of complex rack-scale, liquid-cooled compute and networking hardware systems. • Conduct pre-deployment planning, including reviewing cluster and data center architecture, planning network port mapping and fiber optic cabling BOMs, identifying risks, training vendors, and finding improvement areas. • Evaluate customers' and partners' infrastructure design proposals for industry-standard and regulatory compliance; provide performance, scalability, and cost-effectiveness recommendations. • Test, troubleshoot, and validate compute systems with product and engineering teams. • Provide mentorship, guidance, and support as the NVIS mentor. • Establish and enforce quality assurance processes; conduct bring-up, testing, and validation of infrastructure components. • Drive continuous improvement to enhance infrastructure efficiency, resilience, and sustainability; streamline processes, automate repetitive tasks, and leverage emerging technologies. • Collaborate with internal teams, external vendors, and customers to integrate infrastructure solutions; serve as domain expert and point of contact for infrastructure inquiries and blocking issues. • Lead planning and deployments of AI data centers, including power/cooling systems, cabling, and network provisioning and bring-up/validation.
• Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information Technology, or a related field. • Minimum 3+ years of overall experience in enterprise and/or hyperscale data centers with continual infrastructure deployment experience, preferably for high density AI/HPC data centers. • Working experience in data center operations, or infrastructure management roles, focusing on large-scale data center deployments. • Strong technical knowledge and experience in the data center stack - power distribution, liquid cooling, servers, networking, storage and pre-deployment planning. • Relevant certification – preferred. • Demonstrated technical and project leadership under fluid situations, ability to adapt to unknowns and change. • Excellent analytical, problem-solving, and decision-making skills, keen attention to detail, and a commitment to quality. • Excellent communication and interpersonal abilities, capable of engaging with various collaborators like customers to enable productive discussions. • Organization & Time Management – able to plan, schedule, and organize tasks related to the job to achieve goals within or ahead of established time frames. • Linux system administration skills. • Strong knowledge of whole data center Infrastructure stack. • Flexible/agile and enjoys solving challenging problems.
• Equity • Benefits • Willingness to travel (up to 40%)
Apply Now🕒 June 3
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