Autonomy Software Engineer

Company Overview

Joby Flight Research designs, develops, and flight-tests novel aircraft using a software-first autonomy approach. We build and deploy autonomy, perception, planning, and radar systems across conventional, electric, and hydrogen-electric aircraft in both CTOL and VTOL configurations.

Joby Flight Research is seeking an Autonomy Staff Software Engineer, to design and build the AI software for our Superpilot™ autonomy stack. This position offers a unique opportunity to architect the software platform and algorithmic solutions that power Joby’s varied fleet of autonomous aircraft. In this role, you will own, design, and develop the software solutions for aircraft autonomy. You will work closely with other software engineers and AI experts in computer vision, machine learning, and robotics.

The role requires deep software engineering and autonomous systems industry experience and expertise.

You will design and develop robust perception software for autonomous flight. Further, you will also design and build software systems for data collection, calibration, and testing. Your work will help teams develop AI algorithms and validate safety-critical behavior to deploy autonomous flight on multiple types of aircraft.

We are a small, high-impact team that values curiosity, technical initiative, and the ability to operate independently. You will collaborate deeply with sensing, controls, and flight software engineers to build a foundation that accelerates our path to safe, autonomous flight. The right candidate is a strong autonomy software engineer who cares deeply about system design, software engineering, and enabling fast, safe iteration across multiple aircraft programs.

• Autonomy Software Development
  • Design, implement, and maintain autonomy software across the stack spanning low-level embedded and higher-level autonomous aircraft
  • Design, implement, and maintain computer vision, machine learning, and AI algorithms for perception and reasoning in autonomous aircraft
  • Contribute to software engineering work in integration, flight test, and simulation work across autonomy teams
• Autonomy Software Optimization
  • Design and target software systems for real-time, edge compute platforms
  • Optimize and tune AI perception algorithms for autonomous aircraft
  • Design and implement efficient solutions for SW deployment, testing, and iteration
• Autonomy Technical Solutions
  • Design robust software systems for autonomous aircraft data collection and processing
  • Evaluate and design advanced sensing and compute solutions for autonomous aircraft involving cameras, lidars, radars and other sensors and compute hardware
  • Collaborate closely with the rest of the Superpilot™ team to ideate, plan and execute on high-quality, well-integrated solutions and features
  • Monitor system health and performance, proactively addressing issues and providing user support

• Degree in computer science, aerospace engineering, or related field

• 10+ years of experience in software engineering

• Experience in developing software and systems for autonomous vehicles

• Experience in real-time, embedded software development

• Strong proficiency in C++ and python

• Experience in devops such as git, docker, CI/CD, automation

• Experience developing SW for high-bandwidth sensor data for robotics platforms, e.g., cameras and lidars

• Ability to invent and own technical solutions in autonomy software

• Proven ability to document complex technical designs, architectural trade-offs, and implementation roadmaps

• Champion of software best practices, including rigorous code reviews and mentorship

• Excellent communication skills for collaborating with cross-functional teams

This position must meet US export control compliance requirements, therefore a…