Software Engineer I: Perception

Linuxconfig; Los Angeles, Northern (CA, KY); Hybrid; USD 99,000 - 174,000; Full time

Benefits offered by this job

Equity incentives

Flexible PTO

401(k) plan

Job summary

Lodestar is seeking a Software Engineer I - Perception to join the perception and machine vision teams at MITHRIL's center to rapidly grow our vision and perception models. You’ll build and refine algorithms that detect, classify and understand unknown space targets in real time, working with senior engineers to develop models that underpin autonomous decision‑making in complex space environments.

This is an early‑career role with ownership early and strong growth support in a fast‑paced,

Qualifications

• Bachelor's or Master's in AI/ML, CS, robotics, or related field.
• 0–2 years in ML, robotics, or computer vision.
• Proficient Python and C++ with OpenCV experience.
• Experience taking ML models from training to evaluation.

Responsibilities

• Contribute to the perception system at the core of Lodestar's autonomy software.
• Engage in literature review, training, evaluation, optimization, and deployment.
• Improve edge computing models and develop new components.
• Predict relative pose of dynamic space targets in challenging visuals.
• Integrate models into mission simulation and real-time pipelines.
• Maintain perception tooling and training infrastructure.
• Collaborate across teams to improve fidelity and scalability.

Skills

Python

C++

OpenCV

Linux

Git

CI/CD

Docker

Kubernetes

CUDA

TensorRT

Education

Bachelor's or Master's in AI/ML, CS, Robotics, or related field

Tools

TensorRT

Docker

Kubernetes

Job description

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 I - 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 early-career role. We're looking for strong fundamentals and fast learning rather than a long track record, 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

• Bachelor's or Master's degree in AI/ML, Computer Science, Robotics, a related field, or equivalent experience
• 0–2 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
• 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)
• Demonstrated ability to take an ML model from training through to evaluation, in any setting — coursework, research, or industry

Preferred Skills & Experience

• Experience developing or deploying ML models to real-time or resource-constrained systems
• Broad understanding of modern perception systems and their architecture
• Exposure to sensor measurements from RADAR, electro-optical sensors, RF sensors, or LIDAR
• 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

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 ITARhere .

• Pay Range for this role:
  • (P1) Entry: $99,000 - $133,000 / year
  • (P2) Developing: $115,000 - $174,000 / year
• Meaningful equity incentives as part of our employee option pool
• Flexible PTO with generous paid vacation, holidays, and sick leave
• 401(k) retirement plan with company match

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 theform of stock options, and access tomedical, vision and dental coverage, as well asaccess 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.