Kamil Iskra
Principal Software Engineer at NVIDIA
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolKamil Iskra is a Principal Software Engineer in Chicago with a deep research-to-production pedigree, holding a Ph.D. in Computer Science from the University of Amsterdam and over two decades of experience in scientific computing and software engineering. After long-term research and technical roles at Argonne National Laboratory, he transitioned to NVIDIA where he advanced from Senior to Principal Engineer, applying high-performance computing expertise to production-grade systems. He combines academic rigor with hands-on systems design, particularly in computational science domains, and is comfortable bridging multidisciplinary teams. Though his public GitHub activity is minimal, his career suggests strong contributions to large-scale scientific software and HPC toolchains that power research and industry workloads. Colleagues value him for turning complex numerical problems into robust, scalable implementations and for mentoring engineers moving between research and product environments.
2 years of coding experience
26 years of employment as a software developer
Klasa fizyczna UJ, Klasa fizyczna UJ at V LO w KrakowiePh.D., Computer Science, Ph.D., Computer Science at University of AmsterdamM.Sc., Computer Science, M.Sc., Computer Science at AGH University of Krakow
Github Skills (18)
python10
machine-learning10
numpy10
nvidia10
deep-learning10
gpu10
multi-gpu10
neural-network10
cuda10
cpp10
communications10
mpi9
autograd9
tensor9
gpu-acceleration9
Programming languages (3)
Github contributions (4)
NVIDIA/nccl
Mar 2024 - May 2026
Optimized primitives for collective multi-GPU communication
Contributions:5 reviews, 4 PRs, 4 pushes in 2 years 2 months
multi-gpucommunicationscppcudadeep-learning
NVIDIA/nccl-tests
May 2024 - Oct 2025
NCCL Tests
Contributions:1 review, 1 PR, 1 branch in 1 year 5 months
gpucudampinccl
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