Senior Devops Engineer - Accelerated Computing

at Nvidia
USD 184,000-356,500 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Linux @ 7 Python @ 4 Distributed Systems @ 7 Git @ 4 Perl @ 4 Data Analysis @ 4 Debugging @ 7 Agile @ 4 CUDA @ 4 GPU @ 4

Details

We are the CUDA Math Libraries team at NVIDIA -- consistently named one of America's Best Places to Work by Glassdoor. Our software impacts AI applications, self-driving cars, and some of the world’s fastest supercomputers addressing challenges in science, medicine, and engineering. We seek someone with strong integrity, reliability, persistence, problem-solving skills, and expertise in Linux, scripting, debugging, and troubleshooting.

Responsibilities

  • Run numerous builds and tests across various architectures, operating systems, and devices.
  • Collect data and collaborate to develop infrastructure and tools for effective data analysis.
  • Build team relationships to foster collaboration.
  • Adapt and problem-solve in a highly dynamic environment.

Requirements

  • 6+ years of relevant industry experience.
  • Proficiency with Linux.
  • Bachelor’s degree in a related field or equivalent experience.
  • Expertise in scripting languages such as Python, Perl, Shell, Groovy, etc.
  • Strong background in deploying, configuring, and debugging distributed systems.
  • Familiarity with software build processes (e.g., compiling C++ code using GNU Make, CMake, Visual Studio, MSBuild).
  • Experience with source control management, preferably git.
  • Familiarity with containers.

Ways to Stand Out

  • Experience with HPC hardware systems, compute clusters, and HPC software performance benchmarking.
  • System administrator experience on multi-user Linux servers.
  • Background with GPU accelerated systems.
  • Experience working in Agile environments.

Benefits

  • Competitive base salary ranging from $184,000 to $356,500, dependent on location, experience, and comparable roles.
  • Eligibility for equity and additional benefits offered by NVIDIA.

NVIDIA values creativity, autonomy, and a passion for challenges. Join us to help build real-time, efficient computing platforms driving advancements in Deep Learning and Artificial Intelligence.

#LI-Hybrid