Software Engineer - On-board Autonomy at lodestarspace

Compensation

$120,000 – $180,000/yr

Location: Los Angeles, California
Type: Full-time
Posted: Jun 16, 2026

Description

Lodestar is seeking a Software Engineer specializing in On-board Autonomy to design and implement decision-making systems for their MITHRIL autonomy software suite. The role involves developing dynamic algorithms for real-time autonomous decisions in challenging environments like space, bridging perception, prediction, and control. This engineer will contribute to building intelligent, efficient, and resilient spacecraft operations.

Required Skills

C++
Python
Deep Learning Frameworks
PyTorch
TensorFlow
Machine Learning
Optimal Control
Planning
Reinforcement Learning
Multi-Agent Decision-Making
Linux
Git
CI/CD Pipelines
Containerization Tools
Docker
Kubernetes
Real-Time Systems
Multi-Threading
Performance Optimization
Distributed Autonomy
Networking
Communication Protocols

Additional Information

Required Previous Experiences: 2+ years of distinguished industry experience in autonomy, decision-making, or control systems for aerospace/robotics
Preferred Qualifications: Track record implementing autonomy applications in real-time or safety-critical environments
Experience integrating perception and prediction outputs into decision frameworks
Familiarity with resource-aware strategy selection and optimization under uncertainty
Background in reinforcement learning, hierarchical planning, or adaptive control
Experience with distributed training and cloud-based scaling of ML models (AWS, GCP, or Azure)
Experience with Linux, Git, and CI/CD pipelines
Comfortable with containerization tools such as Docker and Kubernetes
Familiarity with real-time systems, multi-threading, and performance optimization
Strong understanding of distributed autonomy, networking, and communication protocols