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True Anomaly · 1 week ago

GNC Engineer, Perception & Tracking

Long Beach, CA

Full-time

Hybrid

Entry, Mid Level

$100K/yr - $190K/yr

2+ years exp

True Anomaly is a company focused on building innovative technology for space security and sustainability. The GNC Engineer will be responsible for developing perception and tracking algorithms for spacecraft, contributing to the enhancement of capabilities in space domain awareness.

AerospaceArtificial Intelligence (AI)ManufacturingMilitaryNational Security

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Drive the architecture for the image processing, object tracking, and pose estimation pipelines for the next generation of Jackal spacecraft

Design and implement robust perception, object detection, and tracking algorithms in C++

Perform statistical analysis to support algorithm characterization and verification

Test and verify your algorithms via software and hardware in the loop simulation

Work with the software team to integrate your algorithms into flight software

Qualification

C/C++Perception algorithmsTracking algorithmsPythonImage processingComputer visionStatistical analysisMultidisciplinary teamworkPassion for spaceflightHigh-reliability codeSLAMNonlinear filteringPose estimationProblem solving

Required

Bachelor's degree in computer science, robotics, or a similar discipline

Experienced with C/C++ and Python

2+ years of experience with implementing perception and tracking algorithms deployed in real world systems

Demonstrated ability to work in a multidisciplinary team and solve complex problems with first principles approaches

Passion for spaceflight and advancing capabilities related to space domain awareness and space security

U.S. Citizen and eligible for DoD Secret or TS/SCI clearance

Preferred

Master's or PhD in computer science, robotics, or a similar discipline

2+ years of professional experience writing high-reliability, production C/C++ code

Deep technical expertise in one or more of the following: SLAM, nonlinear filtering, image processing, object detection, computer vision, pose estimation