Applied Intuition is seeking a software engineer with expertise in optimizing ML models and deploying them on production-grade runtime environments and chips.
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Skills
Knowledge and experience with ML accelerators, GPU, CPU, SoC architecture and micro-architecture.
Proficiency in C++ with a focus on high-performance computing.
Working experience with Python.
Experience in deep learning frameworks (e.g., PyTorch, JAX, ONNX, etc.)
Responsibilities
Build the optimization pipeline for deploying ML models to real-world hardware.
Build foundational libraries for analyzing and optimizing model performance, correctness, numerical stability, and cross-platform reproducibility.
Collaborate with ML developers on model architecture details to reduce compiled latency and resource usage.
Develop computational resource strategies for different customer needs.
Education
B.Sc in Computer Science, Mathematics or a related field
Benefits
Competitive salary range
Opportunity to work with top global automakers and cutting-edge technology
Full-time employment benefits
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