7 ai workflow engineer jobs at 7 companies in Dayton, OR
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Staff AI Research Engineer
Fremont or Salem or Pittsburgh
$216k-$338k/yrHybridFull Time
Agility Robotics: Develops bipedal humanoid robots for industrial warehouse automation.
7+ YOE7+ years software/AI/robotics experience, 3+ years hands-on RL/imitation learning or LfD deployments, MS in Robotics/CS preferred, strong Python and PyTorch skills, experience with robot hardware and sim-to-real workflows, mentoring experience.
Python, PyTorch, DiffusionPolicy, Mujoco, Isaac Sim, C++
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.
TrimbleNASDAQ: TRMB: Provides hardware, software, and services for construction and geospatial industries.
7+ YOE7+ years enterprise software experience architecting ERP and financial workflows; expertise in C#/.NET and SQL Server; API/ETL integration experience; leadership experience; familiarity with RAG/LLM and Azure preferred.
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