Robotics × GPU kernel interview prep

Study. Dream.
Become the GOAT.

Yang, the engineer who became the GOAT, teaches the goat.dog way: drill the questions robotics startups and GPU teams actually ask.

Origin

How Yang became the GOAT

Every GOAT has an origin story. Yang's began at a desk, long after midnight.

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Method

The goat.dog way

Robotics interviews don't grade memorized answers. Top robotics teams grade how you reason. So does Yang.

KNOW

Understand deeply

Goat Guides build first-principles intuition (from inverse kinematics to memory coalescing) before you touch a single problem.

DRILL

Drill real questions

Challenges sourced from what leading robotics startups and GPU teams actually ask, graded on real hardware for the GPU track.

PROVE

Defend your trade-offs

Interviews are take-homes and code reviews, not trivia. Yang grades your design reasoning the way a staff engineer would.

Tracks

Pick your mountain

Two tracks up the same peak. Yang has climbed both.

Robotics

For humanoid, drone, AV, and warehouse-robotics roles.

FK / IKPID & optimal controlSLAMstate estimationsensor fusionmotion planningmodern C++ROS 2real-time systems

GPU Kernels

For CUDA, inference-infra, and ML-systems roles.

memory coalescingbank conflictswarp divergenceoccupancytiled GEMMtensor coreskernel fusionFlashAttentionKV-cache

Become the GOAT.

Request early access. Get a study plan for your target companies, weekly Goat Notes, and the first challenges when they drop.

Done. You're on the list. The GOAT will find you.