Software Engineer: Perception (II,III)

About Lodestar

Lodestar is the software-first space prime for the hardware abundant era. We believe the next generation of space systems will be defined not by launch, fuel, and batteries, but by software, compute, and autonomous effects.

Space is becoming an increasingly contested warfighting domain, with growing threats to the satellites and critical infrastructure underpinning modern life. Maintaining Western strategic advantage will require a new generation of space capabilities built for the speed, complexity and scale of future conflict.

Lodestar is addressing this challenge by building superintelligent spacecraft capable of operating autonomously in orbit. Combining our capabilities in advanced adversarial tracking & characterisation, onboard edge compute and autonomous effect delivery, our technology enables spacecraft to execute complex rendezvous and proximity operations (RPO), detect and classify objects, predict intent and respond to orbital threats - even in denied environments. By integrating sensing, reasoning and action into a single autonomous system, we aim to deliver decisive situational awareness and space superiority for defence and commercial operators.

Backed by elite deep-tech venture capital, international space agencies and government stakeholders, Lodestar is rapidly expanding its footprint across the U.S. Space Force, the Department of War, and major commercial satellite operators. We are a lean, high-autonomy team of engineers and operators building the space defense infrastructure of tomorrow.

Join us.

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.