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Archer · 10 hours ago

Flight Software - Autonomy Intern

San Jose, CA

Internship

Onsite

Intern

$25/hr - $35/hr

Start in 2026 Spring

Archer is an aerospace company based in San Jose, California, building an all-electric vertical takeoff and landing aircraft. They are seeking a motivated intern to join their Autonomy & Flight Software team, where the intern will gain practical experience in developing software that enables safe, autonomous flight operations.

AerospaceAir TransportationElectric VehicleManufacturing

No H1B

Responsibilities

Design, implement, and test high-quality C++ or Python software for autonomous behaviors, including perception, state estimation, or path planning

Develop and improve software-in-the-loop (SIL) and hardware-in-the-loop (HIL) simulation environments to validate autonomy logic before flight testing

Analyze flight telemetry data to debug software anomalies and optimize algorithm performance against real-world metrics

Assist in the integration of sensors (LIDAR, Radar, Cameras) and avionics hardware into the flight software stack

Collaborate with Guidance, Navigation, and Control (GNC) engineers to translate control laws into efficient, real-time embedded code

Participate in code reviews and write technical documentation to ensure software reliability and compliance with aerospace safety standards (DO-178C)

Develop internal tools and scripts to automate testing, data visualization, and software deployment processes

Qualification

C++PythonAutonomous systemsLinuxVersion control (Git)Robotics frameworksEmbedded systemsPassion for aviationTeam collaborationTechnical communication

Required

Going into the 2nd or 3rd year in college, pursuing a degree in Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering

Strong proficiency in C++ (C++11 or later) and Python, with a solid understanding of object-oriented programming and data structures

Familiarity with autonomous systems concepts such as path planning (A*, RRT), state estimation (Kalman Filters), control theory (PID, LQR), or computer vision

Experience working in a Linux environment and using version control systems (Git)

Demonstrated ability to work collaboratively in a team environment and communicate technical concepts clearly

A passion for aviation, electric mobility, and solving complex problems in a fast-paced, startup-like environment