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
- 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
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
- Stock options for all full-time employees
- Sabbatical leave opportunity after five years with the company
- Paid Parental Leave
- Daily lunches for in-office employees and fully stocked kitchen with snacks and beverages
- Monthly meal and tech allowances for remote employees
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