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Encord · 3 hours ago

Robotics Systems Engineer

San Francisco

Full-time

Onsite

Mid Level

$120K/yr - $150K/yr

Encord is building the AI infrastructure of the future, focusing on the quality of training data for AI applications. The Robotics Systems Engineer will own the robotics data collection operation, building the necessary hardware and data pipelines while solving problems as they arise.

Artificial Intelligence (AI)Computer VisionData Collection and LabelingMachine LearningSoftware

Responsibilities

Build the hardware infrastructure - Set up and maintain robot arms, sensors, VR rigs, and cameras. Design workstation layouts. Keep systems calibrated and operational. When something breaks mid-shift, get us back online. When we scale from 10 to 50 stations, figure out how

Build the data pipeline - Ingest multi-modal sensor data, synchronize streams, validate quality, and export in formats customers need. Own the full journey from sensor to deliverable dataset

Solve problems as they come - Debug hardware failures, adapt to new customer requirements, work around sensors that don't behave as expected. Document what you learn so we don't hit the same wall twice

Shape what comes next - As we grow, this role will evolve. You'll help us figure out when to specialize, what to build vs. buy, and how to scale the operation

Qualification

RoboticsData pipelinesPythonLinuxSensor fusionProblem-solvingHands-on experienceAdaptability

Required

You've built something from scratch before, a lab setup, a data collection system, a side project, a startup and you loved the ambiguity

You default to action. When you don't know the answer, you run an experiment instead of waiting for direction

You have hands-on experience with robotics, automation, or mechatronic systems, robot arms, drones, CNC machines, or something you built yourself. Formal years matter less than demonstrated ability to figure out unfamiliar hardware

You're proficient in Python and comfortable building data pipelines from scratch

You can Google your way through problems you've never seen before and you actually enjoy doing it

You're comfortable in Linux and can pick up new tools quickly (ROS, Docker, cloud infrastructure, whatever's needed)

You'd rather ship something imperfect and iterate than wait for perfect requirements

You take ownership of problems end-to-end, even when they're outside your 'job description'