Engineering

Bedrock Robotics

. Own the fleet system of record, including data models and services for machines, hardware, worksites and deployments throughout their lifecycle .

Posted 10/14/2026full-timeNew York City • New York • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and shipping production software, with a strong focus on backend development, data modeling, and full-stack application design. Proficient in managing fleets of physical assets and leveraging AI for operational efficiency.

Highest-signal resume keywords

Backend DevelopmentData ModelingFull-Stack Application DevelopmentAWS Services ManagementPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Software DevelopmentSchema DesignService ArchitectureMachine Learning IntegrationAPI DesignData Transfer ManagementIoT Device ManagementRobotics EngineeringEdge Systems DevelopmentTypeScript Programming

Soft Skills

Clear CommunicationCross-Functional Problem SolvingProduct Sense

Tools & Technologies

AWSPostgresSensor Data ManagementFleet Management Systems

Industry Keywords

ManufacturingLogisticsSupply ChainField ServiceConstruction

Tech Stack

Tools & technologies

AWSIoTPostgresPythonRustTypeScript

About the role

Key responsibilities & impact

Own the fleet system of record, including data models and services for machines, hardware, worksites and deployments throughout their lifecycle
Build applications for technicians, dispatchers and operations teams to vet machines, schedule installs, track inventory and maintain fleet health
Build services that deliver identity, credentials, calibrations and configuration to machines in the field
Track what software is running on each machine
Move petabytes of sensor data from remote job sites for machine-learning and operational use
Work with users in the office and field to convert real-world workflows into durable software
Design and safely evolve foundational APIs for engineering teams and external partners
Apply AI and agents to development workflows, fleet triage and operations
Collaborate with technicians, operators and multidisciplinary hardware, ML and robotics engineers

Requirements

What you’ll need

5+ years building and shipping production software, owning systems from design through operation
Strong backend and data-modeling skills
Experience designing schemas and services that many other systems depend on
Ability to build full-stack applications
Product sense and ability to prioritize useful solutions
Comfort defining and completing ambiguous cross-functional problems
Clear communication with teams outside engineering
Legally authorized to work in the United States
Ability to commute to the New York office 3–4 days per week
Preferred: experience managing fleets of physical assets, IoT devices or robots
Preferred: experience with edge systems, intermittent connectivity, device provisioning and large data transfers
Preferred: experience in manufacturing, logistics, supply chain, field service or construction
Preferred: experience running high-uptime services on AWS with strong observability
Preferred: experience with Python, TypeScript, Rust or Postgres

Benefits

Comp & perks

Equal opportunity employer
Reasonable accommodations during the application and interview process
Hybrid work arrangement with office attendance 3–4 days per week