NVIDIA Corporation
Senior Deep Learning Software Engineer, Algorithmic Model Optimization
NVIDIA Corporation, Santa Clara, California, us, 95053
Senior Deep Learning Software Engineer, Algorithmic Model Optimization
We are now looking for a Senior Deep Learning Software Engineer for Algorithmic Model Optimization! Join our team of algorithmic model optimization experts and take part in unlocking the biggest potential for AI with generative models such as large language models (LLM) and diffusion models. As a Senior Deep Learning Software Engineer, you will be at the forefront of pushing the boundaries of these models and enabling their deployment at a larger scale with unmatched efficiency. Your role will be pivotal in our mission to maximize the potential of our rapidly expanding data center deployments. Additionally, you will play a crucial part in adopting a data-driven approach to hardware design and system software development. Collaboration is at the heart of what we do, and you will have the chance to work closely with a diverse range of teams at NVIDIA, including the Applied Deep Learning Research teams, CUDA Kernel and DL Framework development teams, and the Silicon Architecture Team. What you’ll be doing:
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 What we need to see:
Masters, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field. 10+ 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. The base salary range is 220,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
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We are now looking for a Senior Deep Learning Software Engineer for Algorithmic Model Optimization! Join our team of algorithmic model optimization experts and take part in unlocking the biggest potential for AI with generative models such as large language models (LLM) and diffusion models. As a Senior Deep Learning Software Engineer, you will be at the forefront of pushing the boundaries of these models and enabling their deployment at a larger scale with unmatched efficiency. Your role will be pivotal in our mission to maximize the potential of our rapidly expanding data center deployments. Additionally, you will play a crucial part in adopting a data-driven approach to hardware design and system software development. Collaboration is at the heart of what we do, and you will have the chance to work closely with a diverse range of teams at NVIDIA, including the Applied Deep Learning Research teams, CUDA Kernel and DL Framework development teams, and the Silicon Architecture Team. What you’ll be doing:
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 What we need to see:
Masters, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field. 10+ 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. The base salary range is 220,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
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