Automation Software Engineer

22 Minutes ago • 3 Years + • Research & Development

Job Summary

Job Description

As an Automation Software Engineer at NVIDIA, you will be part of the Post Silicon Software Tools & Automation team within the Networking Business Unit. Your responsibilities will include developing software tools and infrastructure to control NVIDIA hardware, providing software solutions and guidelines for post-silicon engineers, training users on software tool usage, and supporting customer requests across multiple time zones. This role requires strong Python programming skills, experience with version control (GIT), containerization (Docker), and lab equipment automation. You will collaborate with R&D teams to ensure high-quality automated tools and products.
Must have:
  • Python programming
  • 3+ years relevant experience
  • Problem-solving & debugging
  • GIT & Docker experience
  • Lab equipment automation
Good to have:
  • SerDes & Optics knowledge
  • OOP & design patterns
  • Excellent communication skills

Job Details

NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing & Networking, Artificial Intelligence and Visualization. We are now looking for an outstanding, creative & hardworking engineer to join our team! You will be part of the Post Silicon Software Tools & Automation team in NVIDIA Networking Business Unit. The team is responsible for the infrastructure, GUI tools, and all software-related applications of the high-speed communication products, and working with RND teams to ensure outstanding products and superb automated tools.

What you’ll be doing:

  • Develop software tools and infrastructure to control the hardware of NVIDIA products

  • Provide software solutions and guidelines for post-silicon engineers in multiple teams

  • Train users on software tools usage

  • Support requests from customers across various time zones

What we need to see:

  • B.Sc. in Electrical Engineering

  • Minimum 3 years of proven experience in relevant field

  • Experience with Python programming

  • Strong problem-solving, debugging, and technical support skills

  • Experience with version control tools like GIT, as well as containerization technologies such as Docker

  • Experience with lab equipment automation

Ways to stand out from the crowd: 

  • Strong knowledge of hardware, particularly SerDes and Optics

  • Knowledge of object-oriented programming (OOP) and design patterns

  • Excellent communication and interpersonal skills

NVIDIA has some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

We are committed to fostering a diverse work environment and proud to be an equal-opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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