Autonomy Engineer: Multi-Agent Path & Decision Systems

Archer; United States; On-site; USD 140,000 - 260,000; Full time

Job summary

Archer, an aerospace company based in San Jose, California, is seeking a software engineer for onboard autonomy development. You will develop and mature mission planning, path and motion planning algorithms, and multi-agent coordination for electric VTOL systems.

Join a team that values rigorous simulation, field testing, and collaboration across perception, navigation, and integration teams. Strong C, Python, ROS 2 skills and experience with planning under uncertainty are required.

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

ROS 2

Path planning

Multi-agent coordination

Optimization under uncertainty

Job description

Archer, an aerospace company based in San Jose, California, is seeking a software engineer for onboard autonomy development. You will develop and mature mission planning, path and motion planning algorithms, and multi-agent coordination for electric VTOL systems.

Join a team that values rigorous simulation, field testing, and collaboration across perception, navigation, and integration teams. Strong C, Python, ROS 2 skills and experience with planning under uncertainty are required.