Aerospace Algorithm Engineer - Multi-Agent Planning

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

Job summary

Archer Aviation, based in San Jose, California, seeks engineers to develop onboard software for all-electric vertical takeoff and landing aircraft, with a focus on mission planning and multi-agent coordination. This onsite US role requires strong C++/Python skills and ROS 2 experience, and offers a base pay range demonstrated by the company.

The position emphasizes designing, implementing, and validating algorithms, collaborating with perception, navigation, and integration teams, and advancing

Qualifications

• Strong proficiency in C++ and Python.
• Experience with path/motion planning algorithms.
• Experience with multi-agent or distributed coordination algorithms.
• 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

ROS 2

Path planning

Multi-agent coordination

Job description

Archer Aviation, based in San Jose, California, seeks engineers to develop onboard software for all-electric vertical takeoff and landing aircraft, with a focus on mission planning and multi-agent coordination. This onsite US role requires strong C++/Python skills and ROS 2 experience, and offers a base pay range demonstrated by the company.

The position emphasizes designing, implementing, and validating algorithms, collaborating with perception, navigation, and integration teams, and advancing