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Added 1 min ago
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Lodestar

Software Engineer: Perception (II,III)

Los Angeles, CA, United States

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Job details

Experience: 2-5 years of professional experience in machine learning, robotics, computer vision, or a related field.
Posting language: English
Posted: Aug 25, 2025

Original job description

About Lodestar

Lodestar's mission is to develop the first "Protect and Defend" capability for high-value space assets in orbit. Our flagship product MITHRIL is the critical hardware & software necessary to augment any off-the-shelf spacecraft with the ability to autonomously detect, characterise, and reversibly neutralise orbital threats. By building on the proven space heritage of our best-in-class satellite-bus partners and fully integrating MITHRIL as a single platform, we deliver a fully autonomous end-to-end protection spacecraft service.

About the Job

As a Software Engineer II/III - Perception at Lodestar, you’ll be joining the perception and machine vision teams to rapidly grow our vision and perception models at MITHRIL’s center.

You'll help build and refine algorithms that detect, classify and understand unknown space targets in real time. Working alongside senior perception engineers, you'll combine computer vision, image processing and machine learning to develop the custom models that underpin autonomous decision-making in complex and uncertain space environments.

This is an mid-career role. We're looking for strong fundamentals and fast learning, and you'll be given real ownership early with the support to grow into it.

We proudly have an "extreme ownership" oriented engineering culture.

What You’ll Do

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

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)
Bachelor's or Master's degree in AI/ML, Computer Science, Robotics, a related field, or equivalent experience
2-5 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
Demonstrated ability to take an ML model from training through to evaluation, in any setting - coursework, research, or industry
Broad understanding of modern perception systems and their architecture
Exposure to sensor measurements from RADAR, electro-optical sensors, RF sensors, and/or LIDAR
Experience developing or deploying ML models to real-time or resource-constrained systems

Preferred Skills & Experience

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.

Compensation & Benefits

Pay Range for this role:
(P2) Developing: $115,000 - $174,000 / year
(P3) Career: $136,000 - $200,000 / year
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
Los Angeles

Additional Information

Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options , and access to medical, vision and dental coverage, as well as access to a 401(k) retirement plan.

Lodestar is an Equal Opportunity Employer; employment with Lodestar is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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More about this job

Skills

Machine learning
Decision making
Estimating
Python
C++
ML
Computer science
Robotics
Research
AWS
Google Cloud
Microsoft Azure
Linux
Git
CI/CD
Docker
Kubernetes
Communication skills

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