> Markdown version of [/jobs/ext/4616990-machine-learning-software-engineer-materra-x](https://www.wearedevelopers.com/jobs/ext/4616990-machine-learning-software-engineer-materra-x). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Software Engineer, Materra, X - **Company:** X Development LLC - **Location:** Mountain View, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Cloud Computing, Customer Data Management, Linux, Data Flow Control, Python (Programming Language), Machine Learning, Software Systems, Systems Integration, Google Cloud, Google Vertex AI, Deep Learning, Backend, Information Technology, DeepMind, Data Pipelines - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25197_c650a58363ef5f1632ae5d9c2fcd9ee1 ## About the Role * MS/PhD in Computer Science or demonstrable practical experience in the field * 3-5 years experience writing software that interacts with a variety of asynchronous hardware sensors * Experience building data management platforms in C++ * Experience in a fast-paced environment * Knowledge of deep learning model building, validation, and optimization * Experience building and managing scalable data pipelines and backend integrations * Fluency with C++, Python, and Linux, * Experience with Google Cloud Platform tools like Dataflow and VertexAI * An understanding of multispectral imaging and/or spectroscopy * A passion for solving the problems of plastic waste and circular economy of materials ## Description Materra is looking for a Software Engineer with practical experience developing C++ systems that communicate with hardware sensors. Our team seeks to generate actionable insights from data from different sources, working directly with industry partners to provide immediate real-world impact., * Design, implement, and improve performant C++ systems that process and organize data from multiple hardware sources * Design, implement, and improve algorithms for deriving insights on chemical data using a broad array of state-of-the-art deep learning methods * Rapidly develop system prototypes to evaluate feasibility * Strong end-to-end ownership of the software infrastructure * Build scalable data pipelines for training AI * Work effectively with cross-functional teams of engineers, scientists, and domain experts * Work with collaborators across X and Alphabet (e.g., Google, DeepMind, Cloud, etc.) to apply, modify, and develop new ideas, techniques, algorithms, and tools as needed