Senior Robotics Data Capture Lead

GRAM; San Francisco (CA); On-site; USD 170,000 - 220,000; Full time

Job summary

GRAM in San Francisco is seeking a senior engineer to own systems that generate high-quality robot data from physical work, spanning demonstration, teleoperation, intervention, autonomous operation, and instrumented task tools. You will shape capture contracts to ensure datasets drive learning decisions rather than just hours logged.

This role focuses on producing diverse, validated experience, meaningful variation, failures, recoveries, and episode-level evidence to guide model or system

Qualifications

• Bachelor’s degree in computer science, electrical engineering, mechanical engineering, robotics, or equivalent practical experience.
• Strong C++ or Python programming ability in Linux, including experience with robot middleware, sensor streams, command interfaces, and hardware debugging.
• Direct experience building and repeatedly operating a teleoperation, shared-control, portable demonstration, instrumented task-tool, or robot-data collection system for physical work.
• Demonstrated ability to characterize end-to-end latency, timing, calibration, command safety, and data quality using instrumented tests.
• Experience converting a learning, test, or capability objective into a physical collection protocol whose data produced a measured change in model or system performance.

Responsibilities

• Build field-capable demonstration interfaces and robust systems for teleoperation, intervention, autonomous rollout, and recovery-data collection in realistic physical work.
• Translate model failures and evaluation gaps into controlled scenarios, collection protocols, sampling priorities, and measurable acceptance criteria.
• Design operator interfaces with explicit command authority, latency budgets, feedback, safe handoff, and emergency behavior.
• Instrument demonstration tools, robots, operators, and environments so perception, action, timing, contact, intervention, and task outcome remain aligned and valid at capture.
• Commission collection stations and diagnose failures spanning sensors, controls, networking, operator input, robot execution, and recorded data.
• Define operator procedures, calibration checks, training, and escalation paths that produce consistent evidence across people and sessions.
• Measure whether collected experience changes model or system performance, then use the result to refine the next campaign.

Skills

C++/Python

Robot middleware

Hardware debugging

Latency measurement

Data collection systems

Education

Bachelor’s degree in CS/EE/ME/Robotics

Job description

GRAM in San Francisco is seeking a senior engineer to own systems that generate high-quality robot data from physical work, spanning demonstration, teleoperation, intervention, autonomous operation, and instrumented task tools. You will shape capture contracts to ensure datasets drive learning decisions rather than just hours logged.

This role focuses on producing diverse, validated experience, meaningful variation, failures, recoveries, and episode-level evidence to guide model or system