Data Infrastructure Engineer building ingestion, processing, storage, and lineage pipelines that turn drone, airborne, orbital, and mission data into versioned, access-controlled datasets. Reports to Ignacio Cases Martin and works with AI platform, research, product, and reliability teams. Stack includes Python, AWS, Kubernetes, Docker, Terraform, Postgres, Redis, and object storage.
Welcome to Matter, where we are building the future of vision AI: pairing a world-first sensor that sees molecular chemistry, temperature, and 3D shape with a Large World Model that will be the most powerful intelligence engine for the physical world. This system doesn't just see what something looks like; it understands everything from a single pixel. We call this Superintelligent Vision.
Our team has delivered technologies to Mars for NASA/JPL, designed advanced sensors for U.S. Defense, and frontier artificial intelligence systems. We are now building the next generation of space- and airborne-based sensing systems.
Matter is hiring a Data Infrastructure Engineer to build the systems that transform drone, airborne, orbital, and mission data into durable, versioned datasets for research and products. Reporting to Ignacio Cases Martin, this individual contributor will work across ingestion, processing, storage, lineage, indexing, and scalable access while partnering closely with AI platform, research, product, and reliability teams.
This role is based in San Francisco, CA, and requires onsite work.
To comply with U.S. export regulations, applicants must be one of the following:
At Matter, we believe in rewarding high performance and providing the support you need to thrive. Our compensation and benefits package includes:
Matter Intelligence is an equal opportunity employer. We welcome candidates from all backgrounds who can raise the ambition and performance of the team.