Senior Engineer, Server Administration - RAPIDS
US, CA, Remote
We are looking for a hard-working Senior Engineer with system admin experience to join NVIDIA’s RAPIDS Operations team. As a member of the Operations team, you’ll have the opportunity to help support and grow the RAPIDS project. You will work closely with RAPIDS development teams to help scope, test, deploy, and support C++ and Python libraries and containers.
RAPIDS is the open-source suite for GPU-accelerated data science, spanning from ETL and data transformation to visualization, graph analytics, and machine learning. RAPIDS supports customers and partners ranging from individual data scientists to the world’s largest supercomputers and Fortune 500 companies. You can gain more insights into RAPIDS at https://rapids.ai/
What you’ll be doing:
Run a server lab environment across multiple data centers used by 100+ developers
Help scope, design, and configure cloud-based deployments for production, proof-of-concept, and developer testing
Streamline and operate our infrastructure and development processes
Automate everything that can be automated
What we need to see:
Bachelor of Science in Computer Engineering, Computer Science or related technical field or equivalent experience
5+ years of experience
Linux system administration experience (Ubuntu strongly preferred)
Background with cloud services (AWS, GCP, Azure, etc) especially scoping permissions and following budget constraints
Experience with configuration management tools such as Ansible or Terraform
Experience with container technologies (Docker, Kubernetes)
Ways to stand out from the crowd:
Excellent scripting and debugging skills in languages such as Bash or Python
Good knowledge of CI/CD and related tools (Git, GitHub Actions, GitLab CI)
Experience with Conda and/or PyPI wheel packaging
Prior work with open-source development and community building on GitHub
With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 140,000 USD - 258,750 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. ApplyJob Profile
Benefits Competitive salary Competitive salary package Desirable employer Diversity Eligible for Equity Equity Equity and benefits Work environment
Tasks- Automate tasks
- Run server lab environment
- Scope and configure cloud deployments
- Streamline infrastructure processes
AI Analytics Ansible AWS Azure Bash C C++ CI CI/CD Cloud Services Conda Configuration Management Containers Container technologies Data centers Data Science Debugging Docker Engineering GCP Git GitHub GitHub Actions GitLab GitLab CI GPU Kubernetes Linux Linux System Administration Machine Learning NVIDIA Operations PyPI Python Scripting System Administration Terraform Testing Ubuntu Visualization
Experience5 years
EducationBachelor of Science in Computer Engineering Bachelor of Science in Computer Science Computer Engineering Computer Science Data Science Engineering Equivalent Equivalent experience Machine Learning Operations Related technical field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9