Deep Learning Compiler Engineer
Develops and optimizes deep neural networks for Quadric's GPNPU architecture, focusing on algorithmic lowering, graph-based execution, and performance extraction. Requires MS/PhD, 8+ years experience in optimization, ML algorithms, and graphs.
About the job
Responsibilities
- Drive the lowering and optimization of cutting edge deep neural networks using Quadric’s technology
- Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems
- Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture
Requirements
- MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry
- Strong background in numerical and/or algorithmic optimization
- Understanding of building application-appropriate heuristics for NP-hard problems
- Knowledge of both classical as well as ML algorithms, e.g., Computer Vision, DSP, DNNs, etc.
- Strong background in graphs and related algorithms
Nice to Haves
- Proficiency in C++ >= 11
- Experience using / developing in TVM
- Knowledge of front-end and back-end compiler techniques
Skills
Deep Neural Networks, Algorithmic Optimization, Graph Algorithms, C++, Tvm, Compiler Techniques, Computer Vision, Dsp, Numerical Optimization, Ml Algorithms
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