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QuadricQuadricBurlingame, CA

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.

Salary not listed
On-site8+ YOEML Engineering

About the role

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 NetworksAlgorithmic OptimizationGraph AlgorithmsC++TvmCompiler TechniquesComputer VisionDspNumerical OptimizationMl Algorithms

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