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Cyngn, Inc.

Senior DevOps Lead - Cloud & Autonomous System

  • California
  • onsite
  • Full time
  • Lead

Posted Updated

Free to apply. You’ll finish on the employer’s own site.

Skills mentioned
  • AWS
  • Linux
  • CI/CD
  • Terraform
  • Kubernetes
  • Python
+2 more
  • Bash
  • GitHub

About Cyngn, Inc.

Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles -specifically autonomous tuggers -  to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn:

 

We are small and big.

With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity.

 

We build today and deploy tomorrow.

Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact.

 

We aren’t robots. We just develop them.

We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation.

 

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.

What you'll do

  • 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 
  • Design and implement solutions for both cloud services and autonomous vehicle systems 
  • Optimize system performance for real-time processing of high-bandwidth sensor data 
  • Develop and maintain documentation for system architecture and integration procedures

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


Bonus Qualifications

  • 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) through Aetna, Kaiser Permanente, and Guardian, with multiple plan tiers to choose from
  • Ancillary benefits including accident, critical illness, and hospital indemnity plans (Voya)
  • Company-paid basic life insurance, plus voluntary (supplemental) life for you and your dependents
  • Short-term and long-term disability insurance plans
  • HSA and FSA (Health & Dependent Daycare)
  • Employee Assistance Program
  • 1:1 Health Concierge
  • Company 401(k)
  • Commuter Benefits
  • Flexible PTO policy
  • Sabbatical leave opportunity after 5 years with the company
  • Paid Parental Leave
  • Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages


Equal Opportunity Employer

Cyngn is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, physical or mental disability, genetic information, marital status, familial status, military or veteran status, citizenship status, or any other characteristic protected by applicable federal, state, or local law. This policy applies to all aspects of employment, including recruitment, hiring, compensation, benefits, training, promotion, discipline, and termination.

If you require accommodation during the application or interview process due to a disability, please let us know and we will work with you to provide reasonable accommodation

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