Perception Engineer

Company Overview

Fortastra designs and delivers resilient, high-performance spacecraft that safeguard critical orbital assets and ensure freedom of action in space. We integrate advanced autonomy, sensing, and control into systems engineered for reliability, speed, and scale. Our culture values simplicity, accountability, and disciplined execution empowering every engineer to think systemically, act decisively, and build with purpose. Aggressive innovation. Disciplined execution. Strength among the stars.

We recently closed a $30M Series A to build the future of on-orbit security and we’re just getting started!

Our Engineering Team

You will join Fortastra’s Engineering Division, responsible for the design, development, and test of flight systems across our autonomous spacecraft portfolio.

The Role 

Fortastra is seeking an Perception Engineer. You will focus on the tactical execution of our autonomous spacecraft by developing computer vision and machine learning algorithms that enable spacecraft to detect, classify, and track objects in space as part of a multi-agent, coordinated vehicle ecosystem. You’ll work closely with GNC and Flight Software engineers to turn raw sensor data into reliable, real-time perception for onboard autonomy.

Key Responsibilities

• Develop computer vision and machine learning algorithms for object detection, classification, and tracking in the space environment.
• Design and implement perception software for multi-agent spacecraft scenarios, drawing on paradigms from UAVs, drones, and advanced driver assistance systems.
• Build perception pipelines and software stacks that process data from onboard sensors, with emphasis on camera-based systems and awareness of other sensing modalities.
• Curate, generate, and manage datasets for training, validation, and testing of perception models.
• Integrate perception algorithms into Fortastra’s proprietary simulation environment and ROS-based toolchains for end-to-end autonomy testing.
• Implement perception software in Python and C++, targeting Linux (Ubuntu) environments and eventual flight software integration.
• Collaborate with autonomy, GNC, and flight software teams to define interfaces, data products, and performance requirements for perception outputs.
• Contribute to the design of software architectures for detecting and tracking objects in space, including reasoning about edge cases and failure modes.