Sr. Software Engineer, Robot Cloud Platform

This is a remote position.

Sr. Software Engineer, Robot Cloud Platform  - Remote Job, 3-5+ Year Experience

Annual Income: $98K - $122K

About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

About the job

This cloud communication platform is crucial for enabling our driverless robo-taxi service. As an engineer, you will help build the microservices required to ensure reliable, mission-critical communication between our robot and our fleet management cloud services.

This is a rare opportunity that will require both product sense and low-level systems thinking using complex network topologies and protocols.

Responsibilities

• Experience with TypeScript, Flow or JavaScript.
  

• Experience with Linux, networking, and cloud infrastructure.
  

• Experience with backend systems & frameworks such as Node.js and Express.
  

• Working knowledge of web servers and web technologies.
  
  

Qualification

• Bachelor's degree in an engineering, math, or related field,
  

• Experience with TypeScript, Flow or JavaScript.
  

• Experience with Linux, networking, and cloud infrastructure.
  

• Experience with backend systems & frameworks such as Node.js and Express.
  

• Working knowledge of web servers and web technologies.
  
  

Bonus Qualification

• Frontend web experience in a modern framework (such as React, Vue, or Angular).
  

• Experience with C++.
  

• Experience with REACT.
  

• Familiarity with DDS.
  

• Node.js (TypeScript, Express).
  

• C++ for on-bot integration.
  

Why Patterned Learning LLC?

Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.

The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.