Chris Gottbrath
Group Technical Program Manager at Meta
San Jose, California, United States
Summary
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Rockstar🎓
Top SchoolChris Gottbrath is a Group Technical Program Manager in San Jose with over two decades of experience turning complex scientific and AI-focused software into revenue-generating, user-friendly products. He has led cross-functional teams at Meta (PyTorch TPM leadership), NVIDIA (TensorRT product management), and multiple tooling companies, aligning engineering, product, marketing, and sales to deliver high-impact releases. Chris combines deep technical fluency in accelerated computing, debugging/profiling, and HPC languages (C/C++/Python/Fortran, CUDA/ROCm, MPI/OpenMP) with practical product skills like pricing, packaging, and go-to-market strategy. He’s known for shepherding developer-facing infrastructure and open source projects through both research and production lifecycles, and for rethinking UX and licensing for complex technical tools. A former people manager who returned to IC TPM work, he uniquely understands both organizational leadership and hands-on program execution across datacenter and embedded AI stacks. His academic background in physics and an MS in astronomy underpins a methodical, research-informed approach to product and technology decisions.
7 years of coding experience
24 years of employment as a software developer
The University of ArizonaBA Physics, BA Physics at DePauw University
Stackoverflow
216reputation
6kreached
7answers
0questions
Github Skills (40)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
pytorch9
segmentation8
reference-implementation8
object-detection6
Programming languages (4)
Github contributions (5)
gottbrath/pytorch
Jan 2019 - Aug 2023
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:10 PRs, 115 pushes, 30 branches in 4 years 7 months
pythongpu-accelerationdeep-learninggpuacceleration
gottbrath/vision
Apr 2019 - Apr 2020
Datasets, Transforms and Models specific to Computer Vision
Contributions:3 pushes in 1 year
imagenetvisiondeep-learningdatasetcomputer-vision
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