Autonomy Software Engineer — Path & Multi-Agent Planning

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

Job summary

Archer Aviation is hiring for an on-site role in San Jose, CA, focused on developing mission planning, motion planning, and onboard decision-making for a multi-agent autonomous system. Strong C++ and Python skills, ROS 2 experience, and a background in planning under uncertainty are required.

The role involves integrating algorithms with the aircraft's software stack, validating using simulations and real-world tests, and collaborating with perception and navigation teams.

Qualifications

• Proficiency in C++ and Python.
• Experience with path and 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 and onboard decision-making algorithms.
• Design and implement path and motion planning for single- and multi-agent systems.
• Develop optimization and decision-making approaches for operation under uncertainty.
• Integrate algorithms with the onboard software stack.
• Validate system behaviors through simulation and field testing.
• Collaborate with perception, navigation, and integration teams to field multi-agent systems.

Skills

C++

Python

Path/Motion Planning

Multi-Agent Coordination

Optimization under Uncertainty

ROS 2

Tools

ROS 2

Job description

Archer Aviation is hiring for an on-site role in San Jose, CA, focused on developing mission planning, motion planning, and onboard decision-making for a multi-agent autonomous system. Strong C++ and Python skills, ROS 2 experience, and a background in planning under uncertainty are required.

The role involves integrating algorithms with the aircraft's software stack, validating using simulations and real-world tests, and collaborating with perception and navigation teams.