GPU Kernel Engineer
Core
Write and tune low-level code for GPU inference workloads to improve hardware throughput, cost efficiency, and model size.
Role type
Senior IC GPU Kernel Engineer
Builds
High-performance inference systems
Domain
AI/ML Infrastructure, Hardware Optimization
Deliverable
production ML models
Required skills
Low-level performance engineering, C/C++, memory management, concurrency, cache optimization, hardware behavior understanding, system profiling, performance bottleneck analysis, test setup
Preferred skills
Experience with operating systems, drivers, databases, compilers, trading systems, or inference engines
Technologies
CUDA (implied context), GPU architectures
Responsibilities
Write and tune low-level code that runs directly on GPUs, Improve hardware throughput and cost efficiency for inference workloads, Shrink models without reducing their quality, Investigate and resolve causes of GPU idleness, Profile systems before and after changes to identify performance bottlenecks, Explain performance problems precisely and implement changes that make systems significantly faster
Seniority
Senior, hands-on IC
