Senior Solutions Architect – Generative AI Deployment, AIOps

🔥 14 hours ago

🏄 California, Illinois, +3 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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

• Partner with other solution architects, engineering, product and business teams to understand strategies and technical needs and define high-value solutions • Engage with developers, scientific researchers, and data scientists across a range of technical areas • Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA’s computing platform • Work with customers to help them adopt and build creative solutions using NVIDIA technology and MLOps solutions • Analyze performance and power efficiency of AI inference workloads on Kubernetes • Serve as a trusted technical advisor on projects and proof-of-concepts focused on inference for Generative AI and Large Language Models • Collaborate with internal teams on performance analysis and modeling of inference software • Travel to conferences and customers as required (20%)

🎯 Requirements

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) • 8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow • Strong fundamentals in programming, optimizations, and software design, especially in Python • Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes environments • Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments • Excellent knowledge of the theory and practice of LLM and DL inference • Excellent presentation, communication and collaboration skills • Prior experience with DL training at scale, deploying or optimizing DL inference in production • Experience with NVIDIA GPUs and software libraries such as NVIDIA NIM, Dynamo, TensorRT, TensorRT-LLM • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design • Familiarity with parallel programming and distributed computing platforms • Some travel to conferences and customers may be required (20%)

🏖️ Benefits

• Equity • Benefits