
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.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
August 21
🏄 California – Remote
🌽 Illinois – Remote
+3 more states
💵 $148k - $287.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor

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.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
• Guide partners in adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks • Work with cloud native methodologies, low latency networks, and accelerated compute to build modern AI factories • Deliver demos, assist with proof-of-concepts, write papers and developer blogs • Collaborate with executives and engineering to deploy NVIDIA technologies in cloud and datacenter • Solve complex problems; contribute to thought leadership and NVIDIA's mission
• BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience) • Established track record working with AI and HPC clusters, both on-premises and cloud based • 5+ years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible • Hands-on experience with network, storage, cluster configuration and debugging • Strong analytical and problem-solving skills, along with an ability to articulate what you know to others • Ability to multitask efficiently in a dynamic environment
• Equity • Benefits
Apply NowAugust 21
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