
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.
🔥 0 minutes ago
🏄 California, Texas – Remote
💵 $152k - $287.5k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
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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.
• Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments • Ensure seamless integration and customer satisfaction • Troubleshoot and resolve complex hardware and deployment issues across GPU, networking, and storage technologies • Act as a technical expert supporting sales teams and driving adoption of NVIDIA solutions • Collaborate closely with customers and internal teams • Lead technical engagements with customer engineers, architects, and decision-makers • Identify system architectures and key product requirements in enterprise AI • Support technical engagement with NVIDIA Cloud Partners through OEM partners • Accelerate deployment and adoption of NVIDIA AI technologies in cloud environments • Ensure time-to-value and successful integration
• Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience • 5+ years of experience in system design or technical customer support within the technology industry • Hands-on involvement in cloud partner architecture/solution validation, deployment, and scaling activities • Deep knowledge of datacenter hardware, including servers, storage systems, and network devices • Strong analytical, problem-solving, time-management, and organizational skills • Excellent written and verbal communication skills • Proven ability to collaborate effectively across engineering and leadership teams • Proven experience with large-scale datacenter rollouts and NCP platform integration • Strong networking expertise across TCP/IP, RDMA, RoCE, NICs, and switches • Understanding of CPU architecture, embedded Linux systems, APIs, and OS environments • Proficiency in Bash scripting, Ansible, and Python programming • Knowledge of GPU and DPU technologies, including NCCL • Familiarity with signal integrity, thermal management, power distribution, cabling, and rack layout
• Equity • Benefits • Inclusive and supportive work environment
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