Applied AI Engineer

🔥 0 minutes ago

🌵 Arizona, California, +2 more states – Remote

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

💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Design and deploy AI systems that make post-silicon validation faster, smarter, and more scalable across semiconductor environments • Work directly with multifunctional engineering teams to identify opportunities for AI and build solutions • Evaluate emerging AI frameworks and architectures and recommend worthwhile technologies • Build data systems to measure AI impact • Establish quantitative indicators, close performance gaps, and drive continuous improvement • Architect and implement AI solutions in design and automation infrastructure for NVIDIA chips • 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 • Strong Python skills • Proficiency in at least one static language such as C, C++, C#, Java, or Scala • Strong electrical engineering fundamentals, including computer architecture, high-speed interfaces, timing, power basics, firmware/driver structures, and hardware interaction • Hands-on experience in production test, system validation, post-silicon bring-up, reliability, silicon debug, or silicon productization, including ATE, SLT, board-level test, validation, or yield analysis • Experience in a silicon development environment and exposure to chip and system characterization methodologies • Familiarity with manufacturing and quality metrics such as yield, FPY, DPPM, RAS, TTR, and escape rate • Proven ability to balance multiple concurrent projects • Exposure to GPU, CPU, AI accelerator, networking, automotive, or large-scale SoC programs • Familiarity with modern AI technologies and methodologies for crafting and launching LLMs • Experience building and deploying orchestration agents managing hundreds to thousands of tools • Ability to translate AI research into production tools • Experience with PyTorch or TensorFlow and agentic/orchestration tools such as NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n

🏖️ Benefits

• Equity • Benefits package • Competitive salaries