layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Software Engineer I: Perception at Lodestar | LAYIQ

Contribute to the perception system at the core of Lodestar's autonomy software suite
Work through the full lifecycle of perception algorithms alongside senior engineers including literature review, training, evaluation, optimisation and deployment
Build on and optimise our existing models for edge computing, and develop new components with guidance from the perception leads
Help develop and test our methods for predicting the relative pose of dynamic space targets in harsh and unpredictable visual environments
Integrate perception models into mission simulation environments and real-time autonomy pipelines
Contribute to the design of realistic sensor models and digital twins to improve perception fidelity in mission scenarios
Maintain and extend our perception tooling, model training infrastructure, and evaluation frameworks
Collaborate across the autonomy, estimation, and mission software teams to support perception fidelity, performance, and scalability
Basic Qualifications
Bachelor's or Master's degree in AI/ML, Computer Science, Robotics, a related field, or equivalent experience
0–2 years of professional experience in machine learning, robotics, computer vision, or a related field. Internships, research placements, and substantial academic or personal projects all count
Solid software engineering skills in Python, and working proficiency in C++
Foundational DNN/ML knowledge and hands-on experience with computer vision or image processing libraries (e.g. OpenCV)
Demonstrated ability to take an ML model from training through to evaluation, in any setting — coursework, research, or industry
Preferred Skills & Experience
Experience developing or deploying ML models to real-time or resource-constrained systems
Broad understanding of modern perception systems and their architecture
Exposure to sensor measurements from RADAR, electro-optical sensors, RF sensors, or LIDAR
Familiarity with image processing techniques (e.g. feature extraction, segmentation, filtering, stereo matching) to support 3D reconstruction and target classification
Experience optimising neural networks or geometric algorithms using CUDA kernels, TensorRT, or other GPU acceleration frameworks
Exposure to distributed training or cloud-based scaling of ML models (AWS, GCP, or Azure)
Experience with Linux, Git, and CI/CD pipelines
Comfortable with containerisation tools such as Docker and Kubernetes
Understanding of networking and communication protocols for distributed autonomy systems
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

Software Engineer I: Perception

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