Intern, ML Compiler (Kernel Auto-Tuning)
Samsung Semiconductor is hiring for Intern, ML Compiler (Kernel Auto-Tuning) in San Jose, California, United States. On-site, Intern level, $28–$68 an hour stated. First seen November 14, 2026; open as of November 14, 2026. Jobs taken straight from company career pages — no aggregator in between.
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- Company
- Samsung Semiconductor
- Where
- San Jose, California, United States
- Arrangement
- On-site
- Level
- Intern
- Pay stated
- $28–$68 an hour
- First seen
- November 14, 2026
- Listed via
- Greenhouse
What the posting says
What You'll Learn Project Overview: Build a cost-model-guided auto-tuning framework for PyTorch and Triton kernels on Samsung’s compute-near-memory AI accelerator, and make it placement-aware, so that each kernel is tuned for where its data lives. You’ll connect it to torch.compile and measure the gains on LLM inference. Skills You’ll Learn: Performance optimisation for a cache-less, DMA-driven accelerator: search spaces, legality rules and cost models PyTorch compiler internals (torch.compile, FX, Inductor autotuning) and Triton kernel compilation Benchmarking and profiling LLM inference…
Read more and apply on Samsung Semiconductor's site
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