Tilde Research
Kernel Engineer (Internship and Full-time)
San Francisco · Intern · Internship
Sponsorship not specifiedDetected 372 days ago
AlgorithmsMachine LearningDeep LearningPyTorchResearch
About the role
- Your work will enable faster iteration cycles, higher throughput, and lower latency.
- Work with ML engineers to prototype and scale novel model architectures
- Contribute to system-wide efforts to improve efficiency and throughput, beyond just kernel-level optimizations
Responsibilities
- We build foundational understanding of models to advance the frontier of intelligence.
- Design, develop, and tune custom GPU kernels for core model operations
- As a Kernel Engineer at Tilde, you'll design, implement, and optimize high-performance GPU kernels that are critical to scaling our training and inference workloads.
- You'll work closely with ML researchers and engineers to co-design models and infrastructure that are deeply performance-aware, and help push the limits of what current hardware can support.
Requirements
- Deep familiarity with PyTorch, Triton/TK/TileLang (>1 of), basic familiarity with CUDA, and knowledge of GPU architecture.
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