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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer: Perception - **Company:** Moore Information Inc - **Location:** Los Angeles, CA, United States - **Experience:** Starter - **Salary:** $115,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Computer Vision, Microsoft Azure, C++ (Programming Language), Cloud Computing, Communications Protocols, Nvidia CUDA, Continuous Integration, Linux, Distributed Computing Environment, Python (Programming Language), Machine Learning, OpenCV, Software Engineering, Real Time Systems, Git, Containerization, Information Technology, Machine Learning Operations, TensorRT, Feature Extraction, Lidar, Docker - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8b38f437f2ab2fb6 ## About the Role Do you have experience in System deployment?, Do you have a Master's degree?, * Bachelor's or Master's degree in, AI/ML, Computer Science, Robotics, a related field, or equivalent experience * 2+ years of distinguished industry experience in Machine Learning, robotics, computer vision, or a related field * Excellent software engineering skills in C++ and Python * Strong DNN/ML background and experience in CV and image processing libraries (OpenCV, CUDA-accelerated vision, PCL) * Broad understanding of modern perception systems and their architecture * Experience developing and deploying ML models to real-time systems, * Experience processing sensor measurements from a variety of sensors including 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 * Track record optimizing neural networks and geometric algorithms using CUDA kernels, TensorRT, or other GPU acceleration frameworks * 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 * Strong understanding of networking and communication protocols for distributed autonomy systems ## Description As a Software Engineer - 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 focus on researching and building algorithms to detect, classify and understand unknown space targets in real-time. By combining computer vision, image processing and machine learning, you'll develop custom models - providing the foundation for autonomous decision-making in complex and uncertain space environments., * Research and adapt novel perception algorithms - everything from lit. review, through training and evaluation, to optimisation and deployment * Design, develop ML algorithms from the ground up, in addition to build on and optimizing our existing models for edge computing * Further develop our robust methods for predicting 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 * Own perception tooling, model training infrastructure, and evaluation frameworks for ongoing development and deployment * Collaborate across autonomy, estimation, and mission software teams to ensure perception fidelity, performance, and scalability ## Related Videos - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)