# Christopher Bate

> Senior Deep Learning Software Engineer at NVIDIA

Location: Denver, Colorado, United States
Profile: https://flows.cv/christopherbate

Currently I am a senior engineer at NVIDIA where I work on deep learning inference acceleration.
I'm also currently a PhD student at the University of Colorado, Boulder.

I am a regular contributor to major open source software projects such as Tensorflow and MLIR.

## Work Experience
### Senior Deep Learning Software Engineer @ NVIDIA
Jan 2021 – Present
Deep learning inference acceleration. Also contribute to open source such as Tensorflow and MLIR.

### Senior Machine Learning and Computer Vision Engineer @ Outrider
Jan 2021 – Jan 2021

### Machine Learning and Computer Vision Engineer @ Outrider
Jan 2020 – Jan 2021 | Golden, Colorado, United States
I worked on perception systems, including the full ML stack through dataset collection, model development, and deployment. I built portions of the perception middleware and runtime environment.

### Research Engineer / Graduate Research Assistant @ University of Colorado Boulder
Jan 2017 – Jan 2019 | Boulder, CO
Aerospace Dept: (2018-2019):
- Developed embedded on-device and cloud-based control software for a distributed sensor network that automatically detects and localizes illegal RF emitters. This was a technology transfer project for a government customer.
- Developed sensor control software in C++ 11, and wrote micro-services in NodeJS to control distributed remote sensors, perform centralized signal analysis, and serve web control interface.
- Integrated continuous deployment system to self-hosted Docker Swarm cluster.  

CS Department (2019)
- TA'd CSCI 4622 (Machine Learning) - Designed homework assignments, performed 2 guest lectures on deep learning, taught bi-weekly hands-on sessions on traditional ML algorithms

### Software Engineering Intern @ Uber
Jan 2019 – Jan 2019 | Boulder, CO
- Built a framework for ingesting training data, validating annotations, training object detection models, and deploying them to production for a team that didn't previously have an end-to-end deep learning capability.
- Built a general object detection framework in Tensorflow 2.0.
- Built the front and back-end systems for an application that allows users to label objects in image sets and give feedback to predictions from trained models (React, HTML5, Flask)
- Worked with production engineers to bring the trained models into production in a streamlined manner utilizing Tensorflow's Java API.

### Battalion Maintenance Officer @ US Army
Jan 2017 – Jan 2017 | Fort Carson, CO

### Company Executive Officer @ US Army
Jan 2016 – Jan 2016 | Fort Carson, CO

### Infantry Platoon Leader @ US Army
Jan 2013 – Jan 2016 | Fort Carson, CO;


## Education
### Doctor of Philosophy - PhD in Computer Science
University of Colorado Boulder
Jan 2019 – Jan 2023

### Master's degree in Computer Science
University of Colorado
Jan 2018 – Jan 2019

### Bachelor of Science - BS in Molecular Biology, Minor in Math
University of Michigan
Jan 2009 – Jan 2013

### Computer Science
University of Colorado Boulder
Jan 2017 – Jan 2017

### I got this cool looking tab.
US Army Ranger School
Jan 2014 – Jan 2014


## Contact & Social
- LinkedIn: https://linkedin.com/in/christopher-bate-728810147

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Source: https://flows.cv/christopherbate
JSON Resume: https://flows.cv/christopherbate/resume.json
Last updated: 2026-03-22