Software Engineer Intern

Software Engineer Intern – Air Taxi | Joby Aviation The Tone:

This is an internship at Joby Aviation, located in San Carlos, CA. Joby Aviation is working to make piloted air taxis a reality, developing aircraft that take off vertically and transport passengers over congested city streets. This role is crucial for building the software that enables quiet, emissions‑free flight and brings Joby’s air taxi service to the world. You will contribute directly to the technology stack that powers this advanced aerial mobility solution.

• Role:
  Internship
• Location:
  
  In-person, San Carlos, CA
• Pay: $5,550–$7,800 monthly
• Team:
  Air Taxi Systems team
• Mission:
  Build the software that enables quiet, emissions‑free flight for air taxi services.
• Tech Stack:
  Python, Go, Java

• Develop:
  Assist in the development and implementation of features across full‑stack systems, including backend services and internal tools.
• Collaborate:
  Work with Product, Design, and Flight Operations teams to help define requirements and deliver mobile solutions.
• Design:
  Assist in designing and implementing data flows to ensure seamless application functionality.
• Interact:
  Contribute to client/server interactions and occasionally assist with backend APIs.
• Integrate:
  Help implement and integrate AI/ML models into operational software and data pipelines.
• Participate:
  Engage in team software processes such as requirement and test plan generation, design doc creation, code reviews, and deployments.

• Background:
  Currently pursuing a BS/MS in Computer Science or a related technical field.
• Experience:
  
  Basic knowledge of a modern programming language (e.g., Python, Go, Java) and familiarity with foundational concepts in data structures, algorithms, and software engineering.
• Skills:
  
  Foundational understanding of system design concepts, including client/server interactions.
• Bonus:
  Experience with a backend language like Java, Go, or Python; previous experience in aviation, transportation logistics, or regulated industries; experience in high‑growth, startup‑like environments; or basic exposure to machine learning, data science, or AI applications.