Staff Software Engineer - Backend
Cyngn Inc.
Mountain View, CA, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$198,000.0 - $225,000.0
Working hours
Regular working hours
Job source
Tech stack
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
+34 more
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
Job 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
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 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
Benefits & conditions
- 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 5 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, * We’ll kick off the process with a video assessment where you’ll share a little more about yourself and we’ll get some basic questions out of the way
- A Recruiter touch point will go over the process in more detail and answer your questions
- A 45-minute interview with the hiring manager
- A full-loop interview process consisting of 3-4 additional conversations to gauge technical and soft skills and culture fit.
- A final onsite interview with the team.
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