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.
11 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 (87)
verilog10
gpu10
cpp10
jax10
memory-footprint10
scalable10
systemverilog10
build-system10
systemc10
verilator10
bazel10
jit10
tpu10
unordered-map9
latex9
Programming languages (13)
Github contributions (5)
kkiningh/rules_verilator
Aug 2019 - Apr 2024
Bazel build rules for Verilator
Contributions:2 releases, 8 PRs, 26 pushes in 4 years 7 months
bazelverilatorverilogbazel-rules
kkiningh/asic-design
Mar 2017 - May 2017
Contributions:29 commits in 2 months
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