About this opportunity
Cyngn lists this Senior DevOps Lead - Cloud & Autonomous System opportunity in mountain view, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
What you will do in this role
Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments
Design and implement scalable solutions for both cloud services and autonomous vehicle systems
Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code
Drive observability, monitoring, and incident response strategies
Optimize performance and cost efficiency of cloud and edge computing resources
Mentor team members and foster a developer-friendly environment
Manage on‑call rotations and incident response processes
Architect solutions for processing and storing large‑scale vehicle telemetry data
Lead security initiatives and compliance efforts across infrastructure
Optimize system performance for real‑time processing of high‑bandwidth sensor data
Develop and maintain documentation for system architecture and integration procedures
Who you are
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
Nice to haves
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
Benefits & Perks
Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
Life, Short‑term, and long‑term disability insurance (Cyngn funds 100% of premiums)
Company 401(k)
Commuter Benefits
Flexible vacation policy
Sabbatical leave opportunity after five years with the company
Paid Parental Leave
Daily lunches for in‑office employees
Monthly meal and tech allowances for remote employees
$198,000 - $225,000 a year
Please note salary range is for Bay Area residents - we're still accepting remote applicants!
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Worksite address
mountain view, CA, 94039, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.