Senior Systems Software Engineer, Containers And Kubernetes

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Go @ 7 Kubernetes @ 4 Linux @ 4 Algorithms @ 4 Data Structures @ 4 Distributed Systems @ 7 Communication @ 7 Cloud Computing @ 7 GPU @ 4

Details

NVIDIA is looking for a hardworking Sr. Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies. We expect you to have strong programming skills, a deep understanding of designing and building software, especially related to GO and C, experience with Systems Software and Distributed systems, as well as excellent communication and planning skills. We also welcome out-of-the-box problem solvers who can provide new ideas while strong at completing tasks. Expect to be constantly challenged, improving and evolving for the better. If you're creative, passionate about what you do, autonomous and love having fun, we want to hear from you!

Responsibilities

  • Be part of a small and dynamic team that explores innovative ways to make GPU accelerated applications easier to develop, deploy, and monitor.
  • Work on enabling GPUs as first-class resources in container orchestrators such as Kubernetes.
  • Join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the Kubernetes environment.
  • Collaborate with engineering teams across all of NVIDIA to ensure software integrates seamlessly up and down the stack.
  • Proficiently multitask on different tracks to efficiently address evolving priorities.

Requirements

  • BS/MS in Computer Science or related field (or equivalent experience).
  • 8+ years of relevant work experience.
  • Expert level knowledge in a systems programming language (Go, C) and solid understanding of Data Structures and Algorithms.
  • Strong understanding of Container Orchestration Systems (Kubernetes) and Container Technology.
  • Expert knowledge and experience working with system internals of Unix/Unix-like kernels such as Linux.
  • Strong background in Cloud Computing and Distributed Software design and development.
  • Understanding of performance, security, and reliability in complex distributed systems.

Ways to Stand Out

  • Strong experience with the Go programming language.
  • Real-world strong hands-on experience with Containers and Kubernetes.

Benefits

  • Base salary range from 184,000 USD to 356,500 USD depending on location, experience, and similar pay bands.
  • Eligibility for equity and other benefits.
  • Commitment to fostering a diverse work environment with equal opportunity employment.

NVIDIA leads in AI, High-Performance Computing, and Visualization, providing groundbreaking technologies with GPUs at the heart of its products and services.