Jobs · Management · California

Senior DevOps Lead - Cloud & Autonomous System

Cyngn · Mountain View, CA · 2 wk ago
Management$198k–$225k/yrFull-time

About the role

As a Senior DevOps Lead at Cyngn, you will play a vital role in architecting and managing infrastructure across cloud and autonomous vehicle systems. This position combines traditional cloud DevOps leadership with specialized expertise in robotics and autonomous systems infrastructure. You will bridge the gap between cloud operations and edge computing while leading a team of DevOps engineers to build and maintain scalable, reliable infrastructure for our autonomous vehicle platform.

Qualifications

  • 10+ years of relevant DevOps/Infrastructure experience
  • Proven track record as a technical lead in platform or infrastructure teams
  • Advanced expertise in AWS services, infrastructure as code (Terraform), and Kubernetes
  • Strong experience with service mesh (Istio) and Helm/Kustomize
  • Deep understanding of ROS/ROS2 and Linux kernel configurations
  • Experience with GPU configurations and ML infrastructure
  • Expertise in ARM and NVIDIA CUDA platform configurations
  • Strong programming skills in Python and shell scripting
  • Experience with infrastructure automation (Ansible)
  • Expertise in CI/CD tools (Jenkins, GitHub Actions)
  • Strong system architecture and design skills
  • Excellence in technical documentation
  • Outstanding problem-solving abilities
  • Strong leadership and mentoring capabilities
  • Experience with autonomous vehicle systems
  • Track record of optimizing GPU-based ML infrastructure
  • Experience with large-scale IoT deployments
  • Contributions to open-source projects
  • Experience with real-time systems and low-latency requirements
  • Expertise in security implementations including SSO, IdP, and AWS Cognito
  • Experience with JFrog artifactory and container registry management
  • Proficiency in AWS IoT Greengrass
  • Experience with container resource management on edge devices
  • Understanding of CPU affinity and priority scheduling
  • Track record of implementing cost optimization strategies
  • Experience with scaling systems both horizontally and vertically

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