Optical Mixed Signal Design Software Engineer - New College Grad 2024

Posted:
9/20/2024, 7:58:51 AM

Location(s):
California, United States

Experience Level(s):
Entry Level/New Grad ⋅ Junior ⋅ Mid Level

Field(s):
AI & Machine Learning ⋅ Software Engineering

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:

  • You are pursuing BS, MS, or PhD in computer science/engineering (or equivalent 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)

  • Experience 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

NVIDIA is widely considered one of the technology world’s most desirable employers. We employ some of the most forward-thinking and talented people in the world. Are you passionate about joining our life work to amplify human imagination and intelligence? If you are creative, collaborative, and have a real passion for design methodology and automation, we want to hear from you.

The base salary range is 92,000 USD - 178,250 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.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality