Senior Software Architect, AI Networking

Job not on LinkedIn

🕒 November 25, 2025

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 36%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Research, design, and implement advanced AI networking technologies with an emphasis on accelerating inference workloads using NVIDIA Inference Xfer Library (NIXL) • Collaborate with other teams across NVIDIA's hardware, software, and research units to co-design hardware-accelerated and software solutions for AI inference • Own the creation of prototypes and solutions for next-generation AI inference systems • Drive architectural decisions underpinning the deployment and scaling of AI inference using NVIDIA’s innovative technology

🎯 Requirements

• Master's or Ph.D. in Computer Science, Electrical or Computer Engineering or equivalent experience • At least 8 years of relevant academic or confirmed experience in the field • Comprehensive understanding of AI workloads (primarily inference, but also training) and their impact on network infrastructure • Strong proficiency in areas such as Machine Learning/Deep Learning fundamentals, inference runtimes, and Deep Learning frameworks • Proficiency in C or C++ for systems software development; familiarity with Rust is an advantage

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity eligibility