NVIDIA

Senior Deep Learning Algorithm Engineer

NVIDIA

Remote
Full-TimeDepends on ExperienceSenior LevelPhd or Professional
Job Description

NVIDIA is looking for an experienced and motivated Senior Deep Learning Algorithm Engineer to join our cutting-edge team. In this role, you will design, develop, and deploy innovative deep learning (DL) algorithms to accelerate real-time AI-powered applications. You should have a passion for developing cutting-edge solutions and a drive to push the boundaries of DL technology.We are seeking candidates who have a Master's or higher degree in Computer Science, Applied Mathematics, or a related field, as well as 5+ years of experience in software development, neural networks, and deep learning algorithms. Working knowledge of the latest DL frameworks such as TensorFlow and PyTorch is essential. In addition, experience with machine learning techniques, natural language processing, and computer vision is highly advantageous.This is an excellent opportunity for a creative and motivated individual to join a world-class team and develop the next generation of AI-powered solutions. If you have a passion for developing advanced DL algorithms and a desire to be at the forefront of cutting-edge AI technology, we want to hear from you!

Responsibilities of Senior Deep Learning Algorithm Engineer:

  1. Design, develop, and deploy innovative deep learning algorithms to accelerate real-time AI-powered applications.
  2. Evaluate existing deep learning frameworks and machine learning techniques to identify opportunities for improvement.
  3. Utilize the latest DL frameworks such as TensorFlow and PyTorch to develop advanced DL algorithms.
  4. Create and implement algorithms for natural language processing, computer vision, and other AI technologies.
  5. Collaborate with other teams to ensure the successful deployment of developed algorithms.
  6. Document and maintain code in accordance with best practices.
  7. Stay up to date with the latest advancements in deep learning and AI technologies.
  8. Assist in debugging issues and troubleshooting problems.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
  • Bachelor's Degree In Computer Science

  • Or Related Field

  • Electrical Engineering

  • Computer Engineering

  • Tensorflow

  • Pytorch

  • Knowledge

  • + Years Of Experience In Developing Deep Learning Algorithms For Computer Vision

  • Expertise In Deep Learning Frameworks Such As Caffe

  • Or Keras

  • Strong Understanding Of Deep Learning Principles

  • Architectures

  • And Algorithms

  • Experience With Algorithms For Image Classification

  • Object Detection

  • Segmentation

  • And Other Computer Vision Tasks

Required Skills
  • Python

  • C++

  • Deep Learning

  • GPU

  • CUDA

  • Computer Vision

  • Scikit-learn

  • Tensorflow

  • Optimization

  • Keras

  • Caffe

  • Pytorch

  • OpenCV

  • reinforcement learning

  • Neural Networks

Soft Skills
  • Communication

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • flexibility

  • collaboration

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior Deep Learning Algorithm Engineer is $100,000 to $160,000 per year. The range is based on experience, location, and company size. The salary range may also vary depending on the industry the engineer is in.

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 BeforeJune 9th, 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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