
Senior Infrastructure Software Engineer, Deep Learning Libraries
We are looking for a passionate and experienced Senior Infrastructure Software Engineer to join our Deep Learning Libraries team at NVIDIA. As a Senior Infrastructure Software Engineer, you will have a unique opportunity to work on AI-powered software, helping to shape the future of the industry. To be successful in this role, you will need to bring a high level of expertise in software engineering and a passion for developing solutions that accelerate the development and deployment of deep learning models. In this role, you will have the chance to work on a wide range of projects, from developing software components that enable the training of deep learning models to ensuring the scalability and performance of our deep learning platform. You will have the chance to collaborate with world-class engineers, researchers, and product teams to develop software that accelerates the development and deployment of deep learning models.Required Qualifications:• Bachelor's degree in Computer Science, Electrical Engineering or related technical field• 5+ years of professional experience in software engineering• Experience with infrastructure software engineering (e.g. distributed systems, distributed databases, web services)• Experience with developing software components for deep learning frameworks (e.g. TensorFlow, PyTorch, Caffe)• Experience with cloud computing (e.g. Amazon Web Services, Google Cloud Platform, Microsoft Azure)• Experience with container technologies (e.g. Docker, Kubernetes)• Excellent communication and collaboration skills
Responsibilities: • Develop software components that enable the training of deep learning models • Ensure scalability and performance of deep learning platform • Collaborate with world-class engineers, researchers, and product teams to develop software • Design and implement cloud computing solutions • Design and implement container technologies • Optimize and maintain software components for deep learning frameworks • Analyze and troubleshoot software issues • Participate in code reviews and project planning meetings • Provide technical guidance to junior engineers and team members • Stay up to date with the latest technologies and trends in the industry
+ Years Of Software Engineering Experience
Bachelor's Degree In Computer Science Or Related Field
Experience With Developing And Deploying Deep Learning Libraries
Familiarity With Deep Learning Frameworks
Such As Tensorflow
Knowledge Of Gpu Architectures And Performance Optimization
Experience With Distributed Systems And Cloud Computing
Understanding Of Software Design Patterns And Best Practices
Ability To Work Independently And Collaboratively Within A
Python
C++
Networking
Linux
Chef
Azure
Docker
GPU
CUDA
AWS
Tensorflow
Kubernetes
Ansible
GCP
Pytorch
Communication
Conflict Resolution
Leadership
Problem Solving
Time management
Interpersonal Skills
Organization
Critical thinking
Teamwork
Adaptability
According to JobzMall, the average salary range for a Senior Infrastructure Software Engineer, Deep Learning Libraries is between $135,000 and $200,000. This figure can vary depending on the experience level and the size of the company.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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