Spacecraft Perception Engineer I — Autonomy & Vision

True Anomaly; Long Beach (CA); On-site; USD 72,000 - 88,000; Full time

Job summary

True Anomaly in Long Beach, CA seeks a student or recent graduate to join our space autonomy team. You will work on hybrid perception systems, fusing neural detections with classical tracking, and deploy algorithms onboard with tight compute constraints.

You will implement EKFs, train PyTorch models, write C++ flight code, and help render synthetic data using Blender for diverse space scenarios. This is entry-level, with potential to convert to regular employment based on performance.

Qualifications

• Pursuing or completed degree in a relevant technical field.
• Strong foundations in computer vision and estimation.
• Proficient in Python; exposure to C++ encouraged.
• Experience with either classical tracking or deep learning.
• Familiarity with linear algebra and coordinate transforms.
• Ability to read research papers and implement algorithms.
• U.S. citizen required for facility access.

Responsibilities

• Develop hybrid perception pipelines blending detections with tracking.
• Implement EKF, data association, and track management.
• Train models in PyTorch and deploy in C++ flight code.
• Render synthetic data with Blender and domain randomization.
• Optimize for edge hardware and space-qualified processors.
• Collaborate with hardware and software teams.

Skills

Python

C++

PyTorch

OpenCV

Git

Education

Bachelor's or Master's in CS, EE, Robotics

Tools

ONNX Runtime

TensorRT

OpenCV

Blender

ROS

Job description

True Anomaly in Long Beach, CA seeks a student or recent graduate to join our space autonomy team. You will work on hybrid perception systems, fusing neural detections with classical tracking, and deploy algorithms onboard with tight compute constraints.

You will implement EKFs, train PyTorch models, write C++ flight code, and help render synthetic data using Blender for diverse space scenarios. This is entry-level, with potential to convert to regular employment based on performance.