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# Staff Software Engineer - Backend

- **Company:** Cyngn Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $198,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Geographic Information Systems, Application Programming Interfaces (APIs), Amazon Web Services, Advanced Message Queuing Protocol, Apache HTTP Server, Microsoft Azure, C++ (Programming Language), Software as a Service, Cloud Computing, Cloud Engineering, Software Quality, Communications Protocols, Databases, Continuous Integration, Data Systems, Database Design, Distributed Systems, Embedded Software, Python (Programming Language), Machine Learning, Message Queuing Telemetry Transport (MQTT), Routing, Network Protocols, NoSQL, Performance Tuning, Queueing Systems, RabbitMQ, Real-Time Operating Systems, Software Engineering, SQL Databases, WebSocket, WebRTC, Reliability of Systems, Backend, Event Driven Architecture, Kubernetes, Influxdb, Apache Kafka, Multiaccess Edge Computing, Restful APIs, Terraform, Stream Processing, Docker, Golang, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_6a210012d5ddc8c7061d887407a7fe45

## About the Role

* 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 collaboration skills with a low ego
 * Strong communication skills and ability to explain technical concepts to non-technical stakeholders, * 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
 * Experience with simulation environments for autonomous systems testing
 * Knowledge of fleet management software and vehicle telematics systems

## Description

* 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'll do

 * 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
 * Engage with customers to understand their needs and translate them into technical requirements
 * 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