Validation & Verification Test Engineer, Internship

Bedrock Robotics

Validation and verification intern testing actuators and closing simulation gaps for Bedrock Robotics’ autonomous heavy construction equipment. Building data-driven models that improve job-site safety and infrastructure delivery.

Posted 9/10/2026internshipSan Francisco • California • 🇺🇸 United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and executing black-box test plans for actuator behavior, utilizing Python for analysis and automation. Proficient in data acquisition and characterization of response behavior in autonomous systems for heavy construction equipment.

Highest-signal resume keywords

Python ProgrammingData Acquisition Systems (DAQ)Robotics Simulation (Isaac, MuJoCo, Gazebo)Controls FundamentalsHands-On Experience with Sensors

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Black-Box TestingActuator CharacterizationData AnalysisSystem IdentificationLatency MeasurementHysteresis AnalysisSaturation TestingTemperature Response TestingLoad Response TestingWear Condition Testing

Soft Skills

CollaborationCommunicationProblem-SolvingAdaptabilityAttention to Detail

Tools & Technologies

Robotics Operating System (ROS)Test BenchesHeavy EquipmentPPE (Personal Protective Equipment)Field Testing Equipment

Industry Keywords

Autonomous SystemsHeavy Construction EquipmentInfrastructure ProjectsMachine Data ComparisonModel Improvements

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop and execute black-box test plans characterizing actuator behavior on machines and test stands
Instrument hardware, set up data acquisition, and collect clean, trustworthy datasets
Characterize response behavior including latency, deadband, hysteresis, and saturation across temperature, load, and wear conditions
Compare real machine data against simulation output and quantify divergences
Provide findings to controls and simulation teams as concrete model improvements
Automate test execution and reporting
Work on autonomous systems for heavy construction equipment, improving job-site safety and accelerating infrastructure project schedules

Requirements

What you’ll need

Currently pursuing a BS, MS, or PhD in mechanical, computer science, electrical, aerospace, or robotics engineering — or bringing equivalent hands-on experience
Working understanding of controls or system identification fundamentals
Python for analysis and automation
Hands-on experience with sensors, DAQ, or test benches
Willingness to spend real time on machines in the field, in PPE
Exposure to hydraulics or heavy equipment (preferred)
Experience with a robotics simulator such as Isaac, MuJoCo, Gazebo, or similar (preferred)
Familiarity with ROS or comparable robotics middleware (preferred)
Legally authorized to work in the United States
Ability to commute to the San Francisco office 3–4 days a week

Benefits

Comp & perks

Equal Opportunity Employer commitment
Reasonable accommodations during the hiring process