Yinglin Sun
Staff Software Engineer, Autopilot Computer Vision System SW at Tesla
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYinglin Sun is a Staff Software Engineer based in San Francisco with over 15 years of systems and networking software experience and six years focused on Autopilot computer vision systems at Tesla. He brings deep expertise in OS-level engineering, filesystems, networking stacks, storage systems, and NVM infrastructure from prior roles at Nimble Storage, DataDomain/EMC, and IBM. Yinglin’s background blends kernel- and protocol-level performance optimization with production-grade reliability work—things like filesystem recovery, IPv6 enablement, iSCSI/SCSI implementation, and online NVM upgrades. At Tesla he applies that low-level systems rigor to real-time perception software, translating performance-sensitive requirements into robust firmware and software pipelines. Trained with an MS in Computer Science and a history of GPU-accelerated networking research, he often bridges academic approaches and pragmatic engineering to squeeze latency and throughput gains out of complex systems.
6 years of coding experience
10 years of employment as a software developer
B.E., Computer Science and Engineering, B.E., Computer Science and Engineering at Beihang UniversityM.S., Computer Science, M.S., Computer Science at University of Pittsburgh
Github Skills (25)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
cluster-computing9
plane9
storage9
multi-gpu9
Programming languages (4)
Github contributions (5)
YinglinSun/nccl
Feb 2025 - Feb 2025
Optimized primitives for collective multi-GPU communication
Contributions:3 pushes in 1 day
pytorch/pytorch
Aug 2019 - Aug 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:4 PRs, 53 pushes, 3 branches in 3 years 1 month
pythongpu-accelerationdeep-learninggpunumpy
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