Algorithm Engineer
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain development — building real-world systems that combine software intelligence with physical hardware. That includes Midnight, Archer's all-electric air taxi; Halo, an autonomous vertical takeoff and landing aircraft built for both commercial and defense use; and ZEE, Archer's AI foundation model built specifically for aviation. We're seeking exceptional engineers, operators and builders to join us on our mission to build the future of aerospace and defense.
This role must be based onsite in the United States. Visa sponsorship is not available for this position.
What you'll do
- 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
What you need
- 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
Bonus Qualifications
- Experience fielding multi-agent systems on real hardware
- Background in subscale aircraft, robotics, or autonomy applications
- Experience with simulation environments for multi-agent testing
Pay
For this position we are targeting a base pay between $140,000 - $260,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.