Matter Intelligence is hiring a Telemetry and Observability Engineer, an individual contributor reporting to Ignacio Cases Martin, to make datasets, training runs, models, environments, agents, and missions observable. The work covers instrumenting distributed training, GPU utilization, model serving, and agent workflows, plus building alerts, service objectives, and capacity and cost visibility. The posting names ML observability, telemetry, time-series systems, and cloud infrastructure as required experience, with no team size stated.
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 Telemetry and Observability Engineer to make datasets, training runs, models, environments, agents, and missions observable as one AI system. Reporting to Ignacio Cases Martin, this individual contributor will connect flight and mission reality with infrastructure, model, and product behavior through shared telemetry, traces, alerts, reliability mechanisms, and operational context.
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.