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【NVIDIA】
职位要求：
You are completing a MS (or equivalent experience) or PhD in related fields.
Strong coding skills, preferably in Python, C++.
Background in machine learning, AI, and/or statistical modeling.
Background in computer architecture and interest in energy-efficient GPU designs.
Familiarity with Verilog and ASIC design principles is a plus.
Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.
Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.
Good verbal/written English and interpersonal skills.
职位申请链接（请直接复制至浏览器打开）
职位：Software Engineer - Digital Humans
行业分类：Social media,Social network advertising,Consumer electronics,Virtual reality
公司规模：76,000 人
工作地点：Sausalito, CA
职位要求：
Minimum Qualifications
2+ years modern C++ experience
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
2+ years experience creating, extending, integrating and maintaining computer graphics systems such as: 3D engine, physics/simulation, rendering, animation, mocap, 3D reconstruction. In the domain of soft body applications (like digital humans, fluids, hair and clothes simulation etc.). At least a combination of these areas.
1+ years experience working within interdisciplinary teams
1+ years of Python experience
Preferred Qualifications
1+ years experience with 3D mathematics and applied linear algebra
1+ years experience with Machine Learning
1+ years experience working with GPGPU development such as CUDA
1+ years experience working with C++ concurrency concepts
1+ years experience working with Game engines
1+ years experience working with network programming
职位申请链接（请直接复制至浏览器打开）
Enrolled in BS or MS in Computer Science or Computer engineering or Mathematics or Software Engineering related discipline.
Proficiency with one or more: Python, Golang, and Java scripts.
Proficiency in Linux or Windows Operating system.
Familiarities with cloud-native computing technologies such as Kubernetes, Docker, Containers, Microservices, and Red Hat OpenShift.
Preferred Qualifications (any one of the below would be extra credit):
Machine Learning background with Tensorflow
Familiarities with RestFul interfaces using flask or python.
Familiarities with databases like Mongo, PostgreSQL or MariaDB.
Familiarities with CI/CD pipelines and DevSecOps concepts.
Familiarities in programming languages: Python, Go, Java. Knowledge of Jupyter Hub, Notebooks, Github, etc.
Designing and operating distributed systems, networking design, and implementation experience.
Proficiency in developing modern AI and graphics workloads. Knowledge of Deep Learning frameworks (ex: TensorFlow, Pytorch) and models and is familiar with the deployment of DL-based use cases.
职位申请链接（请直接复制至浏览器打开）
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