Senior DevOps Lead - Cloud and Autonomous Systems

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 experienceProven track record as a technical lead in platform or infrastructure teamsAdvanced expertise in AWS services, infrastructure as code (Terraform), and KubernetesStrong experience with service mesh (Istio) and Helm/KustomizeDeep understanding of ROS/ROS2 and Linux kernel configurationsExperience with GPU configurations and ML infrastructureExpertise in ARM and NVIDIA CUDA platform configurationsStrong programming skills in Python and shell scriptingExperience with infrastructure automation (Ansible)Expertise in CI/CD tools (Jenkins, GitHub Actions)Strong system architecture and design skillsExcellence in technical documentationOutstanding problem-solving abilitiesStrong leadership and mentoring capabilities Bonus Qualifications Experience with autonomous vehicle systemsTrack record of optimizing GPU-based ML infrastructureExperience with large-scale IoT deploymentsContributions to open-source projectsExperience with real-time systems and low-latency requirementsExpertise in security implementations including SSO, IdP, and AWS CognitoExperience with JFrog artifactory and container registry managementProficiency in AWS IoT GreengrassExperience with container resource management on edge devicesUnderstanding of CPU affinity and priority schedulingTrack record of implementing cost optimization strategiesExperience 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 BenefitsFlexible vacation policyRemote or hybrid work opportunitiesSabbatical leave opportunity after 5 years with the companyPaid Parental LeaveDaily lunches for in-office employees and fully-stocked kitchen with snacks and beveragesMonthly meal and tech allowances for remote employees $198,000 - $225,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.