New Grad Space Perception Software Engineer

True Anomaly, Inc.; Denver, Northern (CO, KY); Hybrid; USD 72,000 - 88,000; Full time

Job summary

True Anomaly, Inc. invites new graduates to join as a Software Engineer I, Perception, supporting hybrid perception systems for autonomous spacecraft.

You’ll blend classical tracking with modern ML, building multi-object tracking pipelines and coordinate transformations to navigate through star fields. This entry-level role involves implementing Extended Kalman Filters, training neural networks in PyTorch, and delivering C++ flight code on space-qualified hardware while learning in a challenging

Qualifications

• Pursuing or recently completed Bachelor's or Master's degree in computer science, electrical engineering, robotics, aerospace engineering, or related technical field
• Coursework in computer vision and estimation theory (or willingness to learn both)
• Proficiency in Python; some exposure to C++ (we'll teach you more)
• Familiarity with either classical tracking (Kalman filters, data association) OR deep learning (PyTorch, training neural networks)
• Understanding of linear algebra, probability, and coordinate transformations
• Ability to read research papers from robotics and ML venues and implement algorithms
• Eagerness to learn the intersection of classical perception and modern ML
• U.S. Citizen (required for facility access and government contracts)

Responsibilities

• Implement classical tracking algorithms: Extended Kalman Filters for state estimation, Hungarian algorithm for data association, track management logic (tentative/confirmed/coasted tracks)
• Train neural networks for detection and classification: YOLO for object detection, ResNet-based classifiers for threat discrimination, learned appearance features for re-identification
• Build hybrid perception pipelines: neural network detections → classical tracking → coordinate transformations → angle-only measurements for navigation
• Develop image processing chains: hot pixel filtering, adaptive thresholding, centroiding, connected component analysis, star catalog matching
• Deploy models to edge hardware: quantize neural networks (INT8), integrate with C++ inference engines (ONNX Runtime, TensorRT), optimize for space-qualified processors
• Generate synthetic training data: render spacecraft in Blender with domain randomization (lighting, attitudes, backgrounds), create labeled datasets for rare scenarios
• Validate end-to-end performance: software-in-the-loop simulation, processor-in-the-loop testing, hardware-in-the-loop with real camera feeds

Skills

Python

C++

Robotics knowledge

Reading research papers

Education

Bachelor's or Master's degree in CS/EE/Robotics

Tools

PyTorch

OpenCV

TensorRT

ONNX Runtime

Job description

True Anomaly, Inc. invites new graduates to join as a Software Engineer I, Perception, supporting hybrid perception systems for autonomous spacecraft.

You’ll blend classical tracking with modern ML, building multi-object tracking pipelines and coordinate transformations to navigate through star fields. This entry-level role involves implementing Extended Kalman Filters, training neural networks in PyTorch, and delivering C++ flight code on space-qualified hardware while learning in a challenging