Rohit Zambre
Senior Software Architect at NVIDIA
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolRohit Zambre is a Senior Software Architect with a PhD in Computer Engineering and a decade of experience building high-performance communication systems for HPC and GPU-accelerated applications. He has driven practical, production-grade solutions to long-standing MPI+threads challenges—contributions that have been incorporated into MPICH’s core repository—and now focuses on leveraging DPUs and developing next-generation communication libraries at NVIDIA. His background blends academic research at UC Irvine and Argonne with industry R&D at AMD and Arm, giving him a rare combination of deep protocol-level knowledge and systems engineering pragmatism. Based in Seattle, he specializes in squeezing performance from existing network hardware and has a track record of refactoring core libraries for clarity, efficiency, and scalability.
10 years of coding experience
9 years of employment as a software developer
High School Diploma (CBSE), Science & Informatics Practices, High School Diploma (CBSE), Science & Informatics Practices at Texmaco DPS International SchoolBachelor of Science (BS), Electrical Engineering, Bachelor of Science (BS), Electrical Engineering at Iowa State UniversityUniversity of California, Irvine
English, Hindi, Marathi, Indonesian
Stackoverflow
13reputation
1kreached
0answers
1question
Github Skills (12)
c1710
mpi10
refactoring10
hpc10
c1110
performance-optimization10
refactor10
concurrency10
multithreading9
fortran9
linux-device-driver6
infiniband6
Programming languages (10)
Github contributions (5)
pmodels/mpich
Jan 2019 - May 2020
Official MPICH Repository
Role in this project:
Back-end Developer
Back-end DeveloperContributions:32 commits, 30 PRs, 201 comments in 1 year 4 months
Contributions summary:Rohit primarily focused on improving the internal workings of the MPICH library. Their contributions involved refactoring code related to progress hooks, including renaming counters for clarity and removing unnecessary iterations, which improved performance. They also addressed variable naming conventions and removed unused features. This work directly impacts the efficiency and maintainability of the core MPI implementation.
fortranhpcmpic
mpi-forum/mem-alloc
Aug 2023 - Jan 2025
Contributions:23 reviews, 20 PRs, 55 pushes in 1 year 4 months
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