Applied AI Engineer

🕒 July 28

🌵 Arizona, California, +1 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote 🐊 Florida – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

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

• Architect and implement AI solutions for NVIDIA's chip design and automation infrastructure • Design and deploy LLM-powered validation pipelines to make post-silicon validation faster, smarter, and more scalable across semiconductor environments • Work directly with multifunctional engineering teams to identify opportunities for AI integration and build solutions • Evaluate emerging AI frameworks and architectures and make adoption recommendations • Build data systems to measure AI impact quantitatively • Establish performance indicators, close performance gaps, and drive continuous improvement across the organization • Lead initiatives from concept through deployment

🎯 Requirements

• BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field • 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services • 2+ years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end, from prototype through production deployment • Strong Python skills • Proficiency in at least one static language such as C, C++, C#, Java, or Scala • Proven track record with deploying, monitoring, and debugging scalable AI/ML models • Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and understanding of firmware/driver structures and hardware interaction • Experience within a silicon development environment, with exposure to chip and system characterization methodologies • Hands-on experience with silicon bring-up, characterization, or lab debug using standard tools such as oscilloscopes, multimeters, and logic analyzers • Ability to balance multiple simultaneous projects • Familiarity with modern AI technologies and methodologies for crafting and launching LLMs • Demonstrated experience with deep learning frameworks like PyTorch or TensorFlow • Hands-on experience with agentic and orchestration tools including NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n • Experience debugging complex system-level issues involving HW/SW interactions, including leadership or ownership in root cause analysis of silicon or feature-level issues

🏖️ Benefits

• Equity • Benefits