Kevin Kiningham
Member Of Technical Staff at Anthropic
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolKevin Kiningham is a Member of Technical Staff and Stanford Ph.D. candidate-turned-researcher with 11 years of industry experience designing high-performance hardware and software for machine learning and autonomy. He blends deep academic expertise in electrical engineering—where he focused on accelerators for ML under Prof. Phil Levis—with practical systems experience at Anthropic, Cruise, and Waymo building production-grade software for safety-critical applications. His background includes hardware internships at Google and a visiting research stint at MIT, giving him a rare cross-domain fluency between silicon, accelerator architecture, and large-scale ML systems. Based in San Francisco, Kevin is comfortable moving from circuit-level optimization to deployment concerns, and brings a curious, research-driven approach to production problems that accelerates both model performance and system reliability.
10 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at University of MichiganDoctor of Philosophy (Ph.D.) Electrical Engineering, Doctor of Philosophy (Ph.D.) Electrical Engineering at Stanford University
Github Skills (127)
verilog10
python10
simulator10
peer-to-peer10
gpu10
extensible10
cpp10
numpy10
hash10
jax10
memory-footprint10
scalable10
systemverilog10
build-system10
systemc10
Programming languages (12)
Github contributions (5)
kkiningh/rules_verilator
Aug 2019 - Sep 2022
Contributions:26 commits, 13 pushes, 1 branch in 3 years
kkiningh/asic-design
Mar 2017 - May 2017
Contributions:29 commits in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.