Field Data Operations Lead - Autonomous Fleet

Bedrock Robotics Inc.; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Bedrock Robotics Inc. seeks a Data Operations Lead to own data collection for the fleet, ensuring terabytes of daily data are reliably captured and delivered. You’ll scale machine deployments, define collection strategies, and shape data center plans to support engineering needs.

You will oversee field operations across autonomous systems and work to improve data completeness, labeling, and uptime while building efficient, cost-effective data pipelines for real-world deployment.

Qualifications

• Experience coordinating large-scale data collection and processing.
• Ability to define data collection strategies and monitor execution.
• Proven track record building data pipelines for engineering teams.

Responsibilities

• Own ongoing data collection support for the fleet ensuring terabyte-scale daily data volumes are produced, retained, and delivered.
• Oversee field operations across autonomous and Bedrock Intelligence machines at engineering data standards.
• Define efficient data collection methods that meet engineers’ needs to mature models.
• Treat data yield as a key operational metric and partner with teams to close data-loss gaps.
• Develop an economic service by clarifying SLAs, simulating network strategy, and optimizing operations.
• Ensure field-side reliability of data offload, connectivity, storage, and handoff with proactive cadence.

Skills

Data operations

Data pipeline design

Field operations

Job description

Bedrock Robotics Inc. seeks a Data Operations Lead to own data collection for the fleet, ensuring terabytes of daily data are reliably captured and delivered. You’ll scale machine deployments, define collection strategies, and shape data center plans to support engineering needs.

You will oversee field operations across autonomous systems and work to improve data completeness, labeling, and uptime while building efficient, cost-effective data pipelines for real-world deployment.