NVIDIA

Python DL Automation Engineer

NVIDIA

Remote
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

We’re looking for a highly motivated Python DL Automation Engineer to join the NVIDIA team. In this role, you’ll be responsible for the automation of Deep Learning processes, providing support for production-level Deep Learning systems.The ideal candidate for this position has strong programming skills, with a focus on the Python language, along with an understanding of Deep Learning techniques and processes. You’ll need to be able to think critically and out of the box in order to develop creative solutions.We’re looking for someone with a passion for automation and a strong desire to learn and gain experience in the rapidly growing field of Deep Learning. If you’re an independent, motivated individual who is looking to make a real impact, then this is the job for you.

Responsibilities:

  1. Develop automation solutions for Deep Learning processes.
  2. Develop code in Python for automation of Deep Learning processes.
  3. Provide support for production-level Deep Learning systems.
  4. Think critically and out-of-the-box to develop creative solutions.
  5. Stay up to date on the latest Deep Learning techniques and processes.
  6. Work with other engineers, developers, and stakeholders to ensure successful automation of Deep Learning processes.
  7. Troubleshoot and debug automation solutions for Deep Learning processes.
  8. Monitor system performance and detect any issues.
  9. Document processes and procedures related to Deep Learning automation.
  10. Maintain and optimize existing automation solutions.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
  • Ability To Develop Python Programs For Automation

  • Experience With Developing Data Pipelines And Deep Learning Frameworks

  • Expertise In Software Engineering Principles And Software Development Processes

  • Ability To Design And Implement Complex Automation Strategies

  • Proficiency In Deploying And Managing Automated Solutions

  • Knowledge Of System-Level And Application-Level Debugging Techniques

  • Experience With Nvidia Cuda And/Or Tensorrt

  • Familiarity With Network Protocols And Cloud Architecture.

Required Skills
  • Software Development

  • Engineering

  • Python

  • statistical analysis

  • Debugging

  • Agile Methodology

  • Machine Learning

  • Automation

  • Cloud Computing

  • Algorithm design

  • Data science

  • Program Design

  • Automation Scripting

  • Nvidia

  • Dl

Soft Skills
  • Communication

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • Critical thinking

  • collaboration

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Python DL Automation Engineer is $62,000 to $125,000 per year. The salary range depends on experience, location, and the specific responsibilities of the position.

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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