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Senior Deep Learning Software Engineer, Algorithmic Model Optimization



19d ago

  • Job
    Mid & Senior Level
  • Software Engineering
  • $148K - $276K
  • Santa Clara
  • Quick Apply


  • What we need to see:
  • Masters, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field.
  • 3+ years of relevant work or research experience in Deep Learning.
  • Excellent software design skills, including debugging, performance analysis, and test design
  • Strong algorithms and programming fundamentals
  • Ability to work independently, define project goals and scope, and run your own development effort
  • Good communication, documentation habits, and interpersonal skills
  • Experience with one or more: Python, C++, performance tuning
  • Ways to stand out from the crowd:
  • Contributions to PyTorch, JAX, or other Machine Learning Frameworks
  • Knowledge of GPU architecture and compilation stack, and capability of understanding and debugging end-to-end performance
  • Familiarity with Nvidia’s deep learning SDK such as TensorRT
  • Strong understanding of deep learning algorithms and solutions
  • Strong understanding of ML model optimization techniques such as quantization, pruning, distillation.


  • Prototype and develop model optimization methods, and build a most impactful model optimization platform
  • Collaborate with internal and external partners to accelerate the adoption of deep learning model optimization
  • Stay up to date with the latest research and innovations in generative AI and model optimization techniques
  • Analyze and optimize the theoretical and practical performance of DL models generated
  • Publish findings in top AI conferences, and create Intellectual Property

Manufacturing & Electronics
Founded Year

Mission & Purpose

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.