Cyngn

• Build messaging architecture and content system for sales enablement • Train sales team on new messaging and document operational workflows • Develop persona-specific and vertical-specific messaging tracks • Refresh sales deck and create sales enablement library • Establish brand voice guide and content pillars with a defined content calendar • Implement SEO strategy including keywords and long-form content • Create LinkedIn strategy to raise awareness among target audiences • Deliver a messaging training program for the sales team • Provide documented handoff package for system maintenance after engagement

• Architect and lead the development of a sophisticated, cloud-native fleet management system capable of real-time control and monitoring of numerous autonomous vehicles • Design and implement scalable, distributed systems that can handle high-volume, real-time data processing and decision-making • Develop robust APIs and microservices to support integration with various autonomous vehicle platforms and customer systems • Create efficient algorithms for route optimization, task scheduling, and resource allocation across vehicle fleets • Implement advanced data analytics and machine learning capabilities to provide predictive maintenance, performance optimization, and business intelligence features • Ensure system reliability, security, and compliance with industry standards and regulations • Lead a team of skilled engineers, fostering a culture of innovation, code quality, and continuous improvement • Collaborate with product managers, UX designers, and customers to translate business requirements into technical solutions • Mentor junior developers and contribute to the technical growth of the engineering team • Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance • Engage with customers to understand their needs and translate them into technical requirements

About Cyngn Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and 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 this Role: As the Staff Software Engineer for our SaaS platform team, you will be crucial in developing Cyngn's cutting-edge fleet management system for autonomous industrial vehicles. You'll collaborate with product and engineering teams to design, implement, deploy, and maintain a robust cloud-based solution that enables real-time control and monitoring of autonomous vehicles in the field. Your expertise will be instrumental in creating a scalable, high-performance system that empowers our customers to optimize their automated workflows and maximize operational efficiency. What you will do in this role Architect and lead the development of a sophisticated, cloud-native fleet management system capable of real-time control and monitoring of numerous autonomous vehicles Design and implement scalable, distributed systems that can handle high-volume, real-time data processing and decision-making Develop robust APIs and microservices to support integration with various autonomous vehicle platforms and customer systems Create efficient algorithms for route optimization, task scheduling, and resource allocation across vehicle fleets Implement advanced data analytics and machine learning capabilities to provide predictive maintenance, performance optimization, and business intelligence features Ensure system reliability, security, and compliance with industry standards and regulations Lead a team of skilled engineers, fostering a culture of innovation, code quality, and continuous improvement Collaborate with product managers, UX designers, and customers to translate business requirements into technical solutions Who you are 10+ years of software development experience, with a strong focus on backend systems and distributed architectures Extensive experience in building and scaling cloud-native SaaS platforms, preferably in the IoT or robotics domains Expert-level proficiency in at least one of Python, Go, Java, or C++, with working knowledge of others Deep understanding of cloud technologies and services (AWS, Azure, or GCP) Proven experience with event-driven architectures and message queuing systems (e.g., Kafka, RabbitMQ, Apache Pulsar) Strong background in database design and optimization, including both SQL and NoSQL solutions Proficiency in developing scalable WebSocket-based real-time communication systems Expertise in developing real-time data processing pipelines and analytics systems Proficiency with containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure-as-code and CI/CD practices (e.g., Terraform, GitOps) Track record of leading development teams and mentoring junior developers Excellent problem-solving skills and ability to optimize complex systems Strong communication skills and ability to explain technical concepts to non-technical stakeholders Strong collaboration skills with a low ego Nice to haves Experience with IoT platforms, robotics frameworks (e.g., ROS), or autonomous vehicle technologies Solid understanding of network protocols and communication standards relevant to IoT and autonomous systems Knowledge of AMQP, MQTT, DDS, or other IoT-specific communication protocols Experience with time-series databases (e.g., InfluxDB, TimescaleDB) for handling large volumes of sensor data Familiarity with edge computing and fog architectures Experience with real-time operating systems and embedded software development Expertise in building and maintaining scalable API platforms Experience with geospatial data processing and mapping technologies Knowledge of fleet management software and vehicle telematics systems Experience with simulation environments for autonomous systems testing 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 Remote or hybrid work opportunities 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

• Deployment Planning: Manage & support pre-sales solution engineering, including customer validation, application design, deployment planning, and KPI identification • Deployment Operations: Manage & support post-sales customer operations, including training, deployment launch, and execution to KPIs • Internal Operational Support: Work closely with internal teams to continuously improve the Cyngn deployment process and ensure seamless alignment between our sales strategies and product capabilities • Program Support: Collaborate with program management team to plan vehicle and employee resources for future deployments • Customer Success: Manage customer relationships post-sale, ensuring our product capabilities and safety specifications are reflected in customer operations • Voice of the Customer: Act as a liaison between our clients and our Product and Engineering teams, providing crucial feedback to enhance our products and strategies. • Sales / Validation: Assist sales when needed as a subject matter expert in Cyngn technology to validate prospective customers, deep dive into Cyngn product offerings, and discuss EAS integration into customer workflow • Continuous Improvement: Improve internal sales, deployment, and product processes. Looking for ways to streamline and incorporate industrial engineering lean principles into all aspects of the job

• Lead end-to-end deployment of autonomous robotic systems at customer facilities. • Conduct site surveys and assess automation readiness, infrastructure constraints, and ODD requirements. • Generate 3D and semantic maps and validate localization and navigation performance. • Install, configure, calibrate, and commission robotic systems in live production environments. • Train customer operators, maintenance teams, and site stakeholders; manage handoff to support. • Work directly with the Customer Solutions Engineering team to take their designs in a handoff and perform a full implementation and betterment of these designs. • User Acceptance Testing (UAT): Define and lead the final testing phase during the implementation, proving to the customer that the system meets all safety and throughput Key Performance Indicators (KPIs). • Perform the handoff and orientation of the vehicle with the customer as well as part of the handoff. • Act as the primary technical point of contact during deployments and early operations. • Work directly with customer IT teams to configure networks, resolve firewall/port issues, and ensure reliable connectivity. • Run regular performance reviews with customers, using data to drive operational improvements and adoption. • Head the deployment of the routes on site, and coordinate with the customer to make sure these routes remain optimized overtime. • Analyze robot logs, sensor data, and system metrics using tools such as Foxglove, RViz, RQT_Bag, and PlotJuggler. • Diagnose hardware, software, perception, and infrastructure issues in the field. • Own incident resolution across Tier 1–3 support, ensuring fast MTTR and clear root-cause documentation. • Monitor fleet health and KPIs using Grafana and internal dashboards. • Provide structured feedback from the field to Product, Engineering, QA, and Perception teams. • Support validation activities including FoV studies, data collection, and perception audits. • Collaborate with OEM partners to integrate robotics hardware and software into new vehicle platforms. • Build and maintain scalable deployment playbooks, checklists, and Jira-based workflows.