Field Test Specialist

Department: Operations

Location: San Francisco, CA

Employment Type: FullTime

Join the team bringing advanced autonomy to the built world

At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we’re deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.

This is where algorithms meet steel-toed boots. You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.

We are seeking a highly motivated and technically versatile Field Test Specialist to lead and support field test deployment, operator enablement, safety standardization, and validation initiatives across multiple testing sites and platforms. This role bridges engineering development with real-world field execution ensuring autonomous machines are operated safely, test routines are properly documented, and systems are validated for high-quality data collection and performance.

The ideal candidate will be passionate about the autonomous systems vertical combining a deep technical understanding of sensors, perception systems, and control software with the practical know-how to execute safe and efficient field operations.

Key Responsibilities:

• Lead and execute STO (Safe Test Operation) tests and ATO (Automated Test Operation) procedures for autonomous platforms.

• Set up and coordinate STO activities across multiple test sites and environments.

• Develop and implement operator and technician onboarding and certification programs tailored for autonomous vehicles and robotics.

• Manage operational safety guidelines by machine type, ensuring compliance with industry safety and validation standards.

• Collaborate with Software, Machine Learning, and Hardware Engineering teams to:

  • Bring up new autonomous machines

  • Validate firmware/software integrations and autonomy stack updates

  • Ensure retrofits, upfits, and sensor packages remain in optimal working condition

• Contribute to technical areas such as:

  • Assisting with software deployments, including running Linux commands to start/stop services, check logs, and verify system status

  • Supporting test automation workflows (no direct coding required)

  • Using tools like GitHub, Foxglove, Axiom, Notion, Linear, and Fleetio

  • Network debugging, connectivity setup, and teleoperation support

• Ensure field data quality management, traceability standards, and sensor calibration procedures are upheld.

• Maintain operational readiness across all autonomous testing environments.

Qualifications:

• Experience in field testing, validation, or related engineering functions for autonomous systems, robotics, or advanced machinery.

• Ability to perform both hands-on technical work and cross-team collaboration in high-tempo test environments.

• Strong understanding of safety standards, fail-safes, and operational procedures for autonomous platforms.

• Familiarity with network configuration, system integration, and hardware/software troubleshooting.

• Proficiency or willingness to learn tools such as Foxglove, Axiom, Notion, Linear, and Fleetio.

• Excellent problem-solving, communication, and documentation skills.

Preferred Skills:

• Previous experience with autonomy stacks, sensor fusion, or perception pipelines.

• Background in firmware/software integration and validation for autonomous vehicles or robotics.

• Knowledge of data traceability standards, simulation workflows, and field data collection best practices.

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.