Senior Solutions Architect, Retail

🕒 April 21

🏄 California – Remote

🏄 California – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 46%

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

• Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks • Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources • Optimize inference performance using GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack • Build hands-on PoCs and reference architectures for production-grade generative AI pipelines • Collaborate with Enterprise ISVs to integrate NVIDIA software into native platforms and accelerate production workload deployment • Collaborate with diverse internal teams to improve NVIDIA software through feedback from real-world implementations • Empower partner engineering teams through technical workshops, architecture reviews, and developer enablement • Create reusable assets and documentation to help field teams deploy agentic AI at scale

🎯 Requirements

• BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience • 8+ years of experience in deep learning, machine learning, or distributed AI systems • Strong programming and debugging experience in Python, C/C++, and Linux environments • Background in using deep learning libraries like PyTorch or TensorFlow • Hands-on experience building LLM and generative AI applications • Experience working with agentic or multi-agent AI systems employing frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK or similar orchestration frameworks • Experience building tool-using AI agents that interact with APIs, databases, and enterprise systems • Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures • Experience working with NVIDIA GPUs and AI software, such as NVIDIA NIM, NeMo Framework, NeMo Retriever, and NeMo Agent Toolkit • Background with LLM evaluation frameworks, benchmarking systems, and safety guardrails for agentic workflows • Experience with pre-training/fine-tuning techniques like SFT, LoRA, DPO, PPO, GRPO, DAPO, or RLVF • Experience optimizing reasoning-focused LLMs through timely engineering, quantization, or benchmarking • Background with parallel or distributed computing environments and AI workloads optimized for GPUs

🏖️ Benefits

• Equity • Benefits