Aerospace Algorithm Engineer - Multi-Agent Flight Planning

Archer; San Jose (CA); On-site; USD 140,000 - 260,000; Full time

Job summary

Archer, based in San Jose, CA, seeks engineers to advance autonomous flight software for all-electric aircraft. The role focuses on mission planning, path and motion planning for single- and multi-agent systems, and on-board decision-making under uncertainty.

You will integrate algorithms with the onboard stack and validate through simulation and field tests. Requirements include strong C++ and Python, experience with path planning, multi-agent coordination, and ROS 2.

Qualifications

• Strong proficiency in C++ and Python.
• Experience with path/motion planning algorithms.
• Experience with multi-agent or distributed coordination algorithms.
• Experience with optimization and decision-making under uncertainty.
• Experience with ROS 2.

Responsibilities

• Develop and mature mission planning, multi-platform coordination, and onboard decision-making algorithms.
• Design and implement path and motion planning algorithms for single- and multi-agent systems.
• Develop optimization and decision-making approaches for operation under uncertainty.
• Integrate algorithms with the broader onboard software stack.
• Validate system behaviors through simulation and field testing.
• Collaborate with perception, navigation, and integration teams to field robust multi-agent systems.

Skills

C++

Python

Path planning

Multi-agent coordination

Optimization

ROS 2

Job description

Archer, based in San Jose, CA, seeks engineers to advance autonomous flight software for all-electric aircraft. The role focuses on mission planning, path and motion planning for single- and multi-agent systems, and on-board decision-making under uncertainty.

You will integrate algorithms with the onboard stack and validate through simulation and field tests. Requirements include strong C++ and Python, experience with path planning, multi-agent coordination, and ROS 2.