NVIDIA is seeking an experienced Senior Deep Learning Frameworks Life Cycle Engineer who is passionate about the development of Artificial Intelligence and Machine Learning technologies. Our ideal candidate should have the expertise to develop and support the life cycle of deep learning frameworks, while actively participating in the research and development of new deep learning technologies.The successful candidate should possess a deep knowledge of deep learning frameworks such as TensorFlow, PyTorch, and Caffe2, strong problem solving and communication skills, and a desire to work in an ever-evolving research and development environment. The Senior Deep Learning Frameworks Life Cycle Engineer will be expected to collaborate closely with software engineers, system engineers, and product teams to ensure NVIDIA’s deep learning technologies remain on the leading edge of research and development. Required Qualifications:• 5+ years of experience with deep learning frameworks such as TensorFlow, PyTorch, and Caffe2• Bachelor’s Degree in Computer Science, Information Technology, or related field• Experience with developing, deploying, and supporting deep learning technologies• Excellent problem solving and communication skills• Ability to work in a fast-paced, ever-evolving research and development environment
Responsibilities:
Develop, deploy, and support deep learning technologies.
Collaborate closely with software engineers, system engineers, and product teams to ensure NVIDIA’s deep learning technologies remain on the leading edge of research and development.
Research and develop new deep learning technologies.
Troubleshoot and solve any deep learning framework issues.
Manage the life cycle of deep learning frameworks.
Provide technical guidance to other team members.
Implement best practices for deep learning frameworks.
Monitor the performance of deep learning systems.
Analyze and optimize deep learning algorithms.
Develop and maintain documentation related to deep learning frameworks.
NVIDIA is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.