ML Runtime Optimization Engineer is open at Applied in Sunnyvale. The posting gives a salary of $215K - $315K. Posted on Mar 5, 2025, and still on Applied’s careers page when we last checked, on Nov 14, 2026.
About the role
We are looking for a software engineer with deep experience in optimizing ML models and deploying them on production-grade embedded runtime environments. You’ll work across the entire ML framework stack (e.g. PyTorch, JAX, ONNX, TensorRT, CUDA, XLA, Triton). AT APPLIED INTUITION, YOU WILL: - Drive ML performance optimization on multiple technologies for on-road and off-road ADAS / AD stacks targeting deployment on a…
The opening lines of the posting. The rest is on Applied’s careers page.
Hiring at Applied
Applied has 325 open roles right now, 1 of them remote. Most are in Engineering, People & Recruiting and Security. The median advertised salary across its roles with a published range is $188K. See all its roles
