Devin Robison

About Devin Robison

Self-motivated and tenacious software engineer and systems architect with over seventeen years of experience spanning large-scale systems, cloud infrastructure, AI/ML platforms, and applied research. Experience centers on designing and evolving complex systems across the boundary between infrastructure, data pipelines, and higher-level AI applications, with an emphasis on modularity, composability, and long-term maintainability. Currently a Lead Senior Software Engineer working on Agentic AI Applications.Previously served as technical lead and architect for NV-Ingest, a production data ingestion and processing framework supporting large-scale RAG and multimodal AI workloads, where I led system architecture, orchestration design, and platform evolution.Comfortable operating as both an individual contributor and technical lead, with experience owning architecture, mentoring engineers, and guiding complex systems from early design through production deployment.Strong communicator, able to engage effectively at the engineering, product, and customer levels, and translate requirements, constraints, and trade-offs across disciplines, including effective collaboration with data science and research teams.Professional background spans computer science, software engineering, distributed systems, and applied data science, with academic training in applied mathematics including numerical methods, linear algebra, and finite-field arithmetic. Able to rapidly develop working expertise in new technical domains.Primary development languages: C/C++, Python (including pybind11), Bash; working knowledge of CUDA and GPU-accelerated systems, with comfort learning and operating in new languages and environments as required.

Experience

1. Lead Senior Software Engineer

   NVIDIA

   Jan 2026 — Present

   ARK - Agentic AI ApplicationsCurrently working on new approaches to securing agents in complex environments.

Education

• University of Tennessee, Knoxville

  Bachelor of Engineering - BE, Mathematics/Computer Engineering

  2004 — 2010

• Udacity

  Nanodegree, Deep Reinforcement Learning

  2018 — 2018

• University of Utah

  Master of Science - MS, Computational Engineering and Science

  2010 — 2013

• Udacity

  Nanodegree, Artificial Intelligence

  2017 — 2017

• University of California, Berkeley

  Master of Information & Data Science - MS, Information and Data Science

  2019 — 2021

Skills

• Scikit-Learn
• High Performance Computing (Hpc)
• Algorithms
• Deep Learning
• Cuda
• Vagrant
• Tensor Rt
• Debugging
• C
• Programming
• Matlab
• Nginx
• Cmake
• C++
• Agile Methodologies
• Reinforcement Learning
• Gnu Tools
• Parallel Programming
• Software Engineering
• Networking
• Testing
• Tensorflow
• Java
• Unit Testing
• Keras
• Windows
• Bash
• Numpy
• Cloud Computing
• Operating Systems
• Mathematics
• Pandas
• Git
• Linux
• Software Development
• Python
• Latex
• Scipy
• High Performance Computing
• Parallel Computing