
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
October 2

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
• Serve as the technical voice for NVIDIA’s GPU and rack-scale systems • Translate complex system design into compelling narratives that resonate with hyperscalers, OEMs, and system IT operators. • Develop content that explains NVIDIA GPU architecture, features, and capabilities, highlighting their role in accelerating AI workloads. • Demonstrate how NVL72, NVLink Switching, CPU/GPU co-design, and rack-level systems integrate to deliver breakthrough AI performance. • Explain critical infrastructure technologies like power delivery/smoothing, liquid cooling, and thermal management to hyperscalers and system integrators. • Deliver technical blogs, whitepapers, and presentations that connect platform innovation to real-world customer benefits. • Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI from adopting NVIDIA scale-up solutions. • Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership in the market.
• BS/MS in Computer Engineering or Electrical Engineering related field or equivalent experience • 7+ years in GPU, system architecture, technical marketing, solutions architecture roles in AI and data center domains. • Deep Expertise in GPU architecture, accelerators, and system components (servers, racks, cooling, power) • Familiarity with NVIDIA Grace Blackwell NVL72 platform and rack-level integration challenges. • Exceptional ability to convey complex technical concepts to diverse audiences, including data center execs, engineers, and operators.
• equity • benefits
Apply NowOctober 2
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