7 ai workflow engineer jobs at 6 companies in Scappoose, OR
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AI & Automation Engineer
United States or New York City or Los Angeles or California or Boston or Washington or Chicago or Seattle or Austin or Atlanta or Portland or San Francisco
$114k-$177k/yrRemoteFull Time
Minted: Marketplace for design and art from independent artists.
3+ YOERequires 1–2 years of AI platform experience, 3–5 years in workflow automation or data engineering, production automation delivery, LLM and prompt engineering expertise, programming skills, API integration, and cloud or DevOps experience.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
6+ YOEMS or PhD in CS/CE (or equivalent), 6+ years, deep AI workloads knowledge, tool/workflow development, Python/C++ skills, scalable tooling experience.
Santa Clara or Hillsboro or California or United States
$168k-$322k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
6+ YOEMS/PhD or equivalent experience, 6+ years relevant experience, deep knowledge of AI workloads and frameworks, experience building tools/workflows, strong software skills (Python, C++), and cross-team collaboration skills.
Pacific Northwest National Laboratory: Department of Energy research laboratory focused on scientific innovation.
3+ YOERequires qualifying education and 3–18 years of software engineering experience, depending on degree. Experience with production web applications, AI-assisted workflows, technical leadership, mentoring, and product development preferred. U.S. citizenship and clearance eligibility required.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
10+ YOEBachelor's degree and 10+ years of experience; expertise in silicon architecture and debug tooling; proficiency in C, Python, SystemVerilog; experience with SOC design/tools, AI in workflows, and databases.
Daimler Truck North AmericaXetra: DTG: Designs and manufactures commercial trucks and school buses.
10+ YOE4+ MgmtBachelor's degree in engineering or related technical field, 10 years of experience, and 4 years leading managers or multidisciplinary teams. Requires engineering operations, technology strategy, and cross-functional leadership expertise.
AI, cybersecurity, data governance, workflow automation, Lean, Six Sigma