Amir Darwesh
Staff Autonomy Engineer at Motional
United States
Summary
👤
Senior🎓
Top SchoolAmir Darwesh is a Senior Autonomy Engineer with nine years of experience building perception and control systems for autonomous vehicles, currently contributing to Motional’s self-driving stack. He brings deep hands-on expertise in ROS, C++, Python, Linux, LiDAR-based vehicle detection, object tracking, and data analysis, with a proven track record from internships to technical lead roles at Embark Trucks. His academic foundation—B.S. (Cum Laude) and M.S. in Mechanical Engineering from Texas A&M, the latter completed with a 4.0 GPA—underpins a methodical approach to robotics research and system integration. Amir has moved fluidly between research and production, turning graduate-level autonomy algorithms into road-ready software during his time at universities and industry R&D teams. He’s equally comfortable optimizing low-level control and scaling perception pipelines, and he often bridges gaps between algorithm prototyping and robust engineering practices. Colleagues describe him as a pragmatic problem-solver who pairs academic rigor with practical deployment experience.
9 years of coding experience
7 years of employment as a software developer
Master's of Science Mechanical Engineering, Master's of Science Mechanical Engineering at Texas A&M University
English
Github Skills (38)
algorithm10
algorithms10
robotics10
python10
animation10
cvxpy10
robot10
autonomous-vehicles10
localization10
slam10
autonomous-driving10
simulator9
deep-reinforcement-learning8
ros8
unreal-engine-48
Programming languages (5)
Github contributions (5)
amirx96/golfcart-gps-odom-ekf
Mar 2020 - Apr 2020
Contributions:40 commits, 3 pushes in 1 month
amirx96/amirx96.github.io
Sep 2019 - Dec 2020
Contributions:2 pushes, 1 branch in 1 year 3 months
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