Vacancy is archived. Applications are no longer accepted.

Methodology AI Software Engineer

at Nvidia
MIDDLE SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 3 Bash @ 3 JavaScript @ 3 API @ 2 HTTP @ 2

Details

We are now looking for a Methodology AI Software Engineer!

Join NVIDIA’s diverse team of innovators shaping the future of technology. From revolutionizing gaming and graphics with our GPU invention to pioneering AI through deep learning, we’re constantly evolving to tackle global challenges. At NVIDIA, your unique perspective can contribute to our mission of amplifying human potential. Whether you’re an experienced professional or a recent graduate, there’s a place for you in our inclusive environment. Together, let’s push the boundaries of innovation and make a lasting impact on the world. Join us in our exciting journey to transform computing and enhance human intelligence. Working in NVIDIA's Mixed Signal Design team, you will be contributing in the area of Software Methodology, designing and building software workflows to assist hardware design and debug.

Responsibilities

  • Automating hardware testing workflows using Python AI agents
  • Using AI to improve user workflows involving data collection, querying, and analysis
  • Collaborating with various teams to automate data parsing and analysis through web applications and compute farms
  • Building data visualization interfaces for processed datasets
  • Implementing AI chatbots that can efficiently search through collected datasets
  • Optimizing parallel processing large datasets using compute farms and AI agents

Requirements

  • A BS, MS, or PhD in Computer Science/Engineering (or equivalent experience) and 3 - 5 years of relevant work experience
  • 1 - 2 years of experience with AI tools, LangChain experience preferred
  • Experience with Python and Unix/Bash scripting
  • Javascript experience preferred
  • Familiarity with REST APIs, HTTP web servers, and database systems
  • Familiarity with handling large datasets and parallel processing in Python
  • Self-motivated, and able to switch between multiple projects

Benefits

You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.