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Full-Time

Staff Software Engineer

Backend

Confirmed live in the last 24 hours

Cyngyn

Cyngyn

51-200 employees

Develops autonomous vehicle technology for industries

Data & Analytics
Automotive & Transportation
Hardware
Industrial & Manufacturing
Enterprise Software
AI & Machine Learning

Compensation Overview

$190k - $246.3kAnnually

Expert

Menlo Park, CA, USA

Category
Backend Engineering
Software Engineering
Required Skills
RabbitMQ
Kubernetes
Microsoft Azure
Python
UI/UX Design
NoSQL
Data Structures & Algorithms
SQL
Apache Kafka
Java
Docker
AWS
Terraform
Data Analysis
Google Cloud Platform
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
Responsibilities
  • 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

Cyngn focuses on industrial autonomous vehicle technology, offering the Enterprise Autonomy Suite (EAS) that combines self-driving software, hardware, and analytics for industrial fleets. Their technology transforms traditional vehicles into fully autonomous fleets, enhancing efficiency in manufacturing and warehouse settings. Operating under a Robotics as a Service (RaaS) model, Cyngn allows clients to access this technology through a subscription, making it easier for businesses to implement automation without large upfront costs. The company's goal is to improve productivity and operational efficiency in various industrial environments.

Company Stage

IPO

Total Funding

$171.6M

Headquarters

Palo Alto, California

Founded

2013

Growth & Insights
Headcount

6 month growth

1%

1 year growth

5%

2 year growth

34%
Simplify Jobs

Simplify's Take

What believers are saying

  • The expansion of Cyngn's dealer network to include Alta Equipment Group, with over $1 billion in annual sales, significantly boosts their market reach.
  • Securing their 21st U.S. patent for adaptive object-based decision-making systems highlights Cyngn's commitment to innovation and technological leadership.
  • Partnerships with industry leaders like NVIDIA and RobotLAB enhance Cyngn's technological capabilities and market penetration, showcasing their ability to collaborate effectively.

What critics are saying

  • The need for a reverse stock split to meet Nasdaq's minimum bid price requirement indicates potential financial instability and could affect investor confidence.
  • High competition in the industrial automation sector may pressure Cyngn to continuously innovate, which could strain resources and impact profitability.

What makes Cyngyn unique

  • Cyngn's Enterprise Autonomy Suite (EAS) integrates advanced self-driving software, top-tier hardware, and detailed analytics, offering a comprehensive solution that many competitors lack.
  • Their Robotics as a Service (RaaS) model lowers the barrier to entry for businesses, providing flexibility and scalability that traditional purchase models do not offer.
  • Cyngn's focus on industrial settings, such as manufacturing plants and warehouses, allows them to tailor their technology specifically for high-efficiency and high-reliability environments.