Lodestar Space · 3 months ago
Software Engineer - On-board Autonomy
Los Angeles, CA
Full-time
Onsite
Mid, Senior Level
$120K/yr - $180K/yr
2+ years expLodestar Space is focused on developing advanced autonomy capabilities for space assets. In this role, you will create algorithms for decision-making systems that enable spacecraft to operate intelligently in complex environments.
Artificial Intelligence (AI)National SecuritySecuritySpace Travel
No H1B
U.S. Citizen Only
Responsibilities
Design and implement on-board decision-making models that recommend and adapt strategies in real time
Develop autonomous decision algorithms that integrate information from perception, state estimation, and intent prediction models to execute mission objectives
Research and implement ML models for decision making - everything from lit. review, through training, to deployment
Implement decision models that adapt dynamically to changing mission context, environmental conditions, and system status
Develop frameworks for continuous re-evaluation of active strategies to ensure resilient and adaptive behavior under uncertainty
Support real-time autonomy in communications-limited or time-critical scenarios
Build and maintain autonomy infrastructure, testing frameworks, and deployment pipelines for space missions
Qualification
Required
Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, a related field, or equivalent experience
2+ years of distinguished industry experience in autonomy, decision-making, or control systems for aerospace/robotics
Strong proficiency in C++ and Python and DL frameworks (PyTorch, TensorFlow)
Demonstrated experience with machine learning applied to decision-making or control problems
Track record with optimal control, planning, or reinforcement learning in real-time systems
Familiarity with multi-agent decision-making or planning under uncertainty
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
Preferred
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
Benefits
Meaningful equity incentives as part of our employee option pool
Flexible PTO with generous paid vacation, holidays, and sick leave
Comprehensive medical, dental & vision coverage
401(k) retirement plan with company match
Company
Lodestar Space
Space Defence AI
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$3.52MKey Investors
UK Space Agency
2024-07-25Pre Seed· $2.5M
2024-07-25Grant· $1.03M
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