Expoint – all jobs in one place
מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Limitless High-tech career opportunities - Expoint

Nvidia Manager Development Operations - RAPIDS Data Science 
United States, California 
456196652

Today
US, CA, Remote
time type
Full time
posted on
Posted 5 Days Ago
job requisition id

It provides a collection of libraries and APIs that enable users to perform tasks like data manipulation, machine learning, and graph analytics entirely on GPUs, offering significant speedups compared to traditional CPU-based processing.

What you’ll be doing:

  • Lead a team of DevOps engineers supporting multiple software projects in the data science and AI domain, many of them open-source

  • Collaborate with build engineers, developers, and management to ensure the delivery of high-quality software

  • Lead by doing, taking a hands-on approach working with the engineers on the team

  • Help lead a range of DevOps initiatives, including CI/CD, security/legal compliance, and SysAdmin

  • Help to operate and run our infrastructure and development processes

What we need to see:

  • Bachelor of Science in Computer Engineering, Computer Science, or related technical field, or equivalent experience

  • 8+ overall years of technical experience primarily related to DevOps with 3+ of those years as a team or technical leader

  • Excellent communication and interpersonal skills

  • Detail-oriented and comfortable supporting and prioritizing amongst multiple teams

  • Experience with administration, optimization, and troubleshooting of CI/CD and related tools (including Jenkins, Git, GitHub Actions)

  • Linux system administration experience (Ubuntu strongly preferred)

  • Knowledge of programming and automation with scripting languages (Bash and Python preferred)

Ways to stand out from the crowd:

  • You have worked with cloud services (AWS, Azure, and others), especially permissions, budget, and cost management

  • Experience with NVIDIA’s technology stack, including CUDA toolkit and drivers

  • Background with Conda and/or PyPI packaging, and container technologies such as Docker, especially building and publishing

  • Experience with GitHub operations, including user, repository, and organization management and permissions along with open-source development and community building on GitHub

You will also be eligible for equity and .