
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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.
🕒 July 1
🌵 Arizona, California, +1 more states – Remote
💵 $124k - $195.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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 other 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 NVIDIA's pioneering AI infrastructure solutions including highly complex rack-scale, liquid cooled compute and networking hardware systems, in a fluid and fast paced environment. • Conduct pre-deployment planning including reviewing cluster and data center architecture, plan network port mapping and fiber optic cabling BOM, identify potential risks, train vendors and find areas for improvement. • Evaluate customers' and partners' infrastructure design proposals for consistency with industry standards and regulatory requirements. • Provide feedback and recommendations to improve performance, scalability, and cost-effectiveness. • Perform testing, troubleshooting and validation of compute systems based on collaboration with product and engineering teams. • Act as the NVIS mentor providing guidance, mentorship, and support to ensure the NVIS team's success in their respective roles. • Establish and enforce quality assurance processes to verify that deployments meet established specifications and performance benchmarks. • Conduct thorough bring-up, testing, and validation to validate the functionality and reliability of infrastructure components. • Drive continuous improvement initiatives to enhance data center infrastructure efficiency for NVIDIA data center reference architecture and deployment blueprint, resilience, and sustainability. • Find opportunities to streamline processes, automate repetitive tasks, and leverage emerging technologies to optimize infrastructure operations. • Collaborate and communicate across internal teams, external vendors, and customers to facilitate the seamless integration of data center infrastructure solutions. • Serve as a domain expert and point of contact for infrastructure-related inquiries and blocking issues.
• 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. • Willingness to travel (up to 40%).
• equity • benefits
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