Optical Software Mixed Signal Design Engineer

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The role involves automating hardware testing, building user-friendly interfaces for complex hardware tasks, and developing data visualization tools. The engineer will also be responsible for managing compute farms, optimizing data handling, and debugging testing scripts in Python and JavaScript.
Summary Generated by Built In

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice and join us today!

This is a dynamic team working with innovative, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle! We are looking for a senior engineer to be part of the mixed-signal design team building next generation NVLINK. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.

What you’ll be doing:

  • Automating hardware testing through a web server connected to various test platforms

  • Building robust front-end user interfaces to simplify complex hardware tasks into easy-to-use controls

  • Adding additional back-end features for more complex testing tasks and additional user QOL features for viewing and tracking jobs

  • Automating data parsing and analysis through web servers and compute farms

  • Using parallel processing to optimize handling large datasets.

  • Interfacing with compute farm and managing jobs and statuses.

  • Building data visualization interfaces for parsed/processed datasets

  • Assisting with creating and debugging hardware testing scripts in Python and JavaScript

What we need to see from you:

  • BS, MS, or PhD in computer science/engineering (or equivalent experience)

  • 2+ years of experience

  • Familiarity with data structures, OOP, and parallel processing

  • Experience in Python and Unix/Linux scripting

  • JavaScript (React), C/C++ experience preferred

  • Familiarity with REST APIs and HTTP webservers, database systems, and websockets (Socket.IO experience is a plus)

  • Background with handling large datasets in Python (Pandas/NumPy preferred)

  • Familiarity with machine learning concepts, and multiprocessing for analysis of large datasets

  • Experience with data visualization, creating informative plots and manipulating data

  • Firmware development experience is a plus

#LI-Hybrid 

The base salary range is 108,000 USD - 201,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is 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.

Top Skills

C/C++
JavaScript
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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