Senior Deep Learning Software Engineer, Inference Workflows

Company: Nvidia Corporation
Location: Santa Clara, California, United States
Type: Full-time
Posted: 03.SEP.2021
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We are now looking for a Senior Software Engineer, Deep Learning Inference Workflows.Would you like to make a big impact in deep learning by...


We are now looking for a Senior Software Engineer, Deep Learning Inference Workflows.Would you like to make a big impact in deep learning by helping build a state-of-the-art inference framework for NVidia GPUs, and by designing novel inference deployment workflows for an expansive and emerging class of Machine Learning applications? We are now welcoming exceptional machine learning engineers to apply to Senior Engineering positions in the Deep Learning software team.What you'll be doing:Develop production-grade GPU-accelerated ML inference software in C++ and Python.Build graph parsers, optimizers, and tools for effective deployment of trained ML models.Collaborate with deep learning professionals and GPU architects to develop robust ML software for autonomous driving, NLP, computer vision, and recommender systems.What we need to see:BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering.5+ years of relevant software development experience.Proficiency in C++ and Python programming.Strong knowledge of Machine Learning concepts.Experience in working with TensorRT, PyTorch, TensorFlow, ONNX Runtime or other ML frameworks.Excellent communication skills, and an aptitude for collaboration and teamwork.Ways to stand out from the crowd:Familiarity with advanced C+/C+ language features.Experience in GPU kernel programming using CUDA or OpenCL.Experience in software performance benchmarking, profiling, and optimizations.Experience in compiler developmentWith competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient inferencing solutions in their class? If so, we want to hear from you!NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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