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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.
Job Responsibility:
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
Requirements:
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 have:
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
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