NVIDIA

Senior DL Frameworks Life Cycle Engineer

NVIDIA

Remote
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

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:

  1. Develop, deploy, and support deep learning technologies.
  2. 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.
  3. Research and develop new deep learning technologies.
  4. Troubleshoot and solve any deep learning framework issues.
  5. Manage the life cycle of deep learning frameworks.
  6. Provide technical guidance to other team members.
  7. Implement best practices for deep learning frameworks.
  8. Monitor the performance of deep learning systems.
  9. Analyze and optimize deep learning algorithms.
  10. Develop and maintain documentation related to deep learning frameworks.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
  • Etc

  • Ability To Work Independently And Collaboratively

  • Strong Problem Solving And Debugging Skills

  • And/Or Other Programming Languages

  • Excellent Written And Verbal Communication Skills

  • C++

  • Pytorch

  • Deep Learning Expertise

  • Expertise In Python

  • Keras

  • Ability To Multi-Task And Prioritize Tasks

  • Knowledge Of Dl Frameworks Such As Tensorflow

  • Experience With Distributed Computing Architectures Such As Gpu Clusters Or Cloud Computing Platforms

Required Skills
  • Documentation

  • Integration

  • Security

  • Networking

  • Troubleshooting

  • Data Analysis

  • Debugging

  • DevOps

  • Automation

  • Optimization

  • Deployment

  • Collaboration

  • Monitoring

  • Performance

  • Configuration

Soft Skills
  • Communication

  • Leadership

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • Attention to detail

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Senior DL Frameworks Life Cycle Engineer is $90,000 to $120,000 a year. The salary will depend on the individual's experience, the industry, the company, and the location.

Additional Information
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.
Required LanguagesEnglish
Job PostedNovember 14th, 2023
Apply BeforeMay 10th, 2026
This job posting is from a verified source. 
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About NVIDIA

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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