NVIDIA

Senior Deep Learning Software Engineer, Algorithmic Model Optimization

NVIDIA

Santa Clara, CA, USA
Full-TimeDepends on ExperienceSenior LevelPhd or Professional
Job Description

We are looking for an experienced and motivated Senior Deep Learning Software Engineer to join our Algorithmic Model Optimization team here at NVIDIA. The ideal candidate has extensive experience in deep learning and a passion for software engineering. You will be responsible for developing and optimizing deep learning models, as well as deploying them to production.You should have a deep understanding of deep learning algorithms, software engineering, and GPU-based computing. You should also have strong problem-solving skills and the ability to work in a fast-paced environment. You should be able to communicate technical ideas effectively and work collaboratively with other teams.The successful candidate should have a Bachelor's degree in Computer Science, Math, or related field and at least 5 years of experience working with deep learning algorithms. Additionally, experience with C/C++, Python, and/or TensorFlow is preferred.If you have a passion for deep learning and software engineering, and want to join a world-class team at NVIDIA, then this is the opportunity for you.

Responsibilities:

  1. Develop and optimize deep learning models for the Algorithmic Model Optimization team.
  2. Deploy optimized models to production.
  3. Utilize deep learning algorithms, software engineering, and GPU-based computing to meet project requirements.
  4. Solve complex problems with creative solutions in a fast-paced environment.
  5. Effectively communicate technical ideas to other teams and stakeholders.
  6. Utilize strong knowledge of C/C++, Python, and/or TensorFlow to complete tasks.
  7. Develop and implement new algorithms and technologies to optimize deep learning models.
  8. Stay up-to-date with the latest technology trends and advancements in deep learning.
Where is this job?
This job is located at Santa Clara, CA, USA
Job Qualifications
  • Bachelor's Degree In Computer Science

  • Or Related Field

  • Mathematics

  • C++

  • Physics

  • Caffe

  • Pytorch

  • And Other Programming Languages

  • + Years' Experience In Software Development

  • Strong Hands-On Experience In Deep Learning And Machine Learning Frameworks (E.g. Tensorflow

  • Mxnet)

  • Proficiency With Python

  • Knowledge Of Gpu Architectures And Cuda Programming

Required Skills
  • Python

  • Algorithms

  • Machine Learning

  • Deep Learning

  • C/C++

  • CUDA

  • Computer Vision

  • Tensorflow

  • Keras

  • Pytorch

  • Performance tuning

  • GPU programming

  • Neural Networks

  • Software engineering

  • Model Optimization

Soft Skills
  • Communication

  • Conflict Resolution

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • self-motivation

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior Deep Learning Software Engineer, Algorithmic Model Optimization in Santa Clara, CA, USA is $130,000-$170,000. This range is based on salaries reported by various employers for this position in the Santa Clara area.

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 PostedAugust 28th, 2023
Apply BeforeMay 22nd, 2025
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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