Onboard Autonomy Engineer - Real-Time Space AI Decisions

Lodestar Space; Los Angeles (CA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Meaningful equity incentives

Flexible PTO

Comprehensive medical, dental & vision coverage

401(k) with company match

Job summary

Lodestar Space in Los Angeles is looking for a Software Engineer - On-board Autonomy to develop decision-making systems for our autonomy suite. You will create algorithms that evaluate mission context and environmental conditions, enabling real-time autonomous decision-making within spacecraft.

The ideal candidate has experience in autonomy, strong programming skills in C++ and Python, and is familiar with machine learning frameworks. This position offers a competitive salary with benefits like equity incentives and comprehensive medical coverage.

Qualifications

• 2+ years of industry experience in autonomy or decision-making for aerospace/robotics.
• Experience with machine learning applied to decision-making or control problems.
• Familiarity with multi-agent decision-making or planning under uncertainty.

Responsibilities

• Design decision-making models that adapt strategies in real-time.
• Develop algorithms that integrate perception and prediction models.
• Support real-time autonomy in communications-limited scenarios.

Skills

C++

Python

Machine Learning

Decision-Making Algorithms

Control Systems

Real-Time Systems

Reinforcement Learning

Education

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, or related field

Tools

PyTorch

TensorFlow

AWS

Azure

Docker

Kubernetes

Linux

Git

Job description

Lodestar Space in Los Angeles is looking for a Software Engineer - On-board Autonomy to develop decision-making systems for our autonomy suite. You will create algorithms that evaluate mission context and environmental conditions, enabling real-time autonomous decision-making within spacecraft.

The ideal candidate has experience in autonomy, strong programming skills in C++ and Python, and is familiar with machine learning frameworks. This position offers a competitive salary with benefits like equity incentives and comprehensive medical coverage.