Jacob Tørring
Research Engineer, AI Systems at 1X
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolJacob Tørring is a research engineer and PhD candidate specializing in autotuning and empirical program optimization for high-performance computing, currently based in Menlo Park and working at the intersection of academia and industry. With nine years of experience, he has led cross-institutional projects (CATBench, BAT) and produced large-scale CUDA autotuning datasets used to train LLMs for kernel optimization. His background spans building and administering SLURM HPC clusters, designing novel benchmarking techniques that sped autotuning searches by up to 116x, and hands-on systems work from satellite OBCs to production DevOps pipelines. A former visiting researcher at Stanford and exchange student at KAIST, he blends rigorous algorithmic training with practical systems engineering and community-driven open research.
9 years of coding experience
8 years of employment as a software developer
Norwegian University of Science and TechnologyGraduate exchange student, Computer Science, Graduate exchange student, Computer Science at Korea Advanced Institute of Science and TechnologyVisiting Student Researcher, Computer Science, Visiting Student Researcher, Computer Science at Stanford University
English, Danish, Norwegian, Spanish, Japanese, Korean
Github Skills (27)
ios10
mobile-game10
anova10
statistical-tests10
taiko10
auto-tuning9
benchmarking9
standardized9
kernel9
cuda9
statistics8
benchmark8
bayesian-statistics8
gpu-programming7
hpc7
Programming languages (7)
Github contributions (5)
NTNU-HPC-Lab/BAT
Dec 2021 - Jan 2023
A GPU benchmark suite for autotuners
Contributions:1 release, 2 reviews, 146 commits in 1 year 1 month
cudakernelgpu-programmingbenchmarkingbenchmark-suite
Viestinta/viestinta
Feb 2017 - Aug 2017
Contributions:4 releases, 109 PRs, 252 pushes in 6 months
communication
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