Ajith Jose - Senior Director at MIPS

Ajith Jose

Senior Director at MIPS

Bengaluru, Karnataka, India

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Summary

👤

Senior

🎓

Top School

Ajith Jose is a senior technology leader with 12+ years driving processor architecture and verification across ARM, RISC-V and MIPS ecosystems, now leading MIPS India’s verification organization. He blends deep hands-on expertise in full ASIC flows—functional verification, emulation, FPGA and post-silicon validation—with strategic program leadership gained at Qualcomm and ARM. Ajith has a proven track record as a technical verification lead at IP, subsystem and full-chip levels, scaling teams and delivery for Snapdragon-class SoCs. He pairs an engineering foundation from BITS Pilani with management development training at ISB, enabling him to translate complex microarchitecture requirements into verifiable silicon. Beyond corporate work, he has contributed algorithmic improvements to the widely used Stockfish chess engine, demonstrating applied C++ optimization skills and an appreciation for rigorous benchmarking. Known for pragmatic problem solving, he focuses on measurable performance and verification outcomes across the chip lifecycle.

11 years of coding experience

20 years of employment as a software developer

BITS Pilani, Birla Institute of Technology and Science

Management Development Program - Building Stalwart Managers, Management Development Program - Building Stalwart Managers at Indian School of Business

High School, High School at Jawahar Vidyalaya

English

Github Skills (9)

algorithm10

algorithms10

c-language10

cprogramming-language10

optmization10

performance-optimization10

optimisation10

chess-engine10

optimization10

Programming languages (1)

C++

Github contributions (5)

mcostalba/Stockfish

Jun 2014 - Oct 2016

UCI chess engine

Role in this project:

Back-end Developer / Algorithm Implementer

Contributions:16 commits, 17 comments in 2 years 4 months

Contributions summary:Ajith contributed to the Stockfish chess engine by optimizing the evaluation function and search algorithms. They implemented changes to pawn threats, king attack bonuses, and null move pruning techniques. Several commits involved tuning parameters and improving the efficiency of the engine's search, resulting in performance improvements measured through testing. The changes focused on modifying C++ code within the `evaluate.cpp` and `search.cpp` files.

chess-engineuci-chess-enginemachine-learninguci

official-stockfish/Stockfish

Jan 2015 - Jan 2018

A free and strong UCI chess engine

Contributions:23 PRs, 99 comments in 3 years

ucichess-engineuci-chess-enginemachine-learningstockfish

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