Matthias Langer
Senior AI Software Engineer (Developer Technology) at NVIDIA
China
Summary
🤩
Rockstar🎓
Top SchoolMatthias Langer is a Senior AI Software Engineer with 11 years of experience building high-performance ML and data systems, currently part of NVIDIA’s Developer Technology team in China. He combines deep academic training (PhD in Computer Science) with hands-on engineering across backend, performance optimization, and database integrations, having improved core data paths in high-profile projects like NVIDIA-Merlin’s HugeCTR. His background spans industry and research roles—from machine learning scientist positions in China to systems and process engineering at Siemens—giving him a practical edge in productionizing research. Matthias is particularly strong at diagnosing performance regressions and refactoring complex storage backends (LocalMemory, Redis, RocksDB, HDFS) with thread-safe, multi-threaded solutions. He also brings cross-cultural fluency and an unusual blend of technical and humanities study, having studied Chinese language and literature alongside his technical degrees. Pragmatic, detail-oriented, and research-savvy, he excels at turning ML prototypes into scalable, reliable infrastructure.
11 years of coding experience
10 years of employment as a software developer
Chinese Language and Literature, Chinese Language and Literature at Tongji UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at La Trobe UniversityDipl.-Inf. (FH), Computer Science, Honors 1st class, Dipl.-Inf. (FH), Computer Science, Honors 1st class at Naturwissenschaftlich-technische Akademie
German, English, Chinese
Github Skills (16)
cuda10
gpu-programming10
databases10
c-language10
cprogramming-language10
performance-optimization10
relational-databases10
multithreading10
sql-database10
database10
hdfs9
recommendation-system8
recommender-system8
cpp7
deep-learning5
Programming languages (13)
Github contributions (5)
NVIDIA-Merlin/HugeCTR
Sep 2021 - Dec 2022
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:2 reviews, 52 commits, 36 comments in 1 year 3 months
Contributions summary:Matthias primarily focused on optimizing and refactoring the backend for the HugeCTR framework. They made significant changes to the database backends, rewriting parts of the code and addressing issues related to data insertion and retrieval in various database systems (e.g., LocalMemory, Redis, RocksDB). The user also implemented performance improvements by incorporating multi-threading and thread-safe mechanisms for database operations and addressed performance regressions in the HDFS implementation, which likely required analysis and optimization.
cudapytorchcppgpu-accelerationdeep-learning
bashimao/ltu-thesis
Oct 2018 - Oct 2020
Contributions:9 commits, 9 pushes, 1 branch in 2 years
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