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New York, New York, United States
Onsite
At Bedrock, we're moving AI out of the lab and into the real world. Our team includes 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 equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
As Bedrock scales deployments nationwide, every machine we bring autonomy to has to be vetted, provisioned, calibrated, deployed, monitored, updated and serviced. Fleet Engineering builds the platform behind that lifecycle: the system of record, services and applications that teams across Bedrock use to run a fleet growing to thousands of machines. Many of these systems will be used by external partners as well.
The work crosses disciplines. One week you're architecting how we track sensor calibrations across every machine. The next, you're making a fault on an operator's tablet readable at a glance. You'll own problems end to end, working closely with technicians and operators in the field as well as multidisciplinary engineers across hardware, ML and robotics.
Also, you get to drive 100,000 lb excavators.
Own the fleet system of record: the data model and services for machines, their hardware, worksites and deployments, and how each moves through its lifecycle
Build the applications that technicians, dispatchers and operations teams use every day to vet machines, schedule installs, track inventory and keep the fleet healthy
Build the services every robot phones home to: delivering identity, credentials, calibrations and configuration to machines in the field, and always knowing what's running where
Move petabytes of sensor data off remote job sites across the country, bringing home the real-world data that powers our ML and learning flywheel
Spend real time with the people who use what you build, in the office and in the field, and turn messy real-world workflows into simple, durable software
Design foundational APIs that other engineering teams and external partners build on, and evolve them safely as the business changes
Lean into AI and agents, from automating development workflows to fleet triage and operations
5+ years building and shipping production software, owning systems from design through operation
Strong backend and data-modeling skills: you've designed schemas and services that many other systems depend on
Ability to build full-stack applications, including interfaces people actually want to use
Product sense: you start from the user's problem and would rather ship the useful version than the elegant one
Comfort with ambiguity: you can take a vague cross-functional problem, define it, and drive it to done
Clear communication with teams outside engineering. Your users may operate excavators, repair hardware in the field, or work directly with customers.
Experience managing fleets of physical assets, IoT devices or robots
Experience with edge systems: intermittent connectivity, device provisioning, large data transfers
Experience in operations-heavy domains such as manufacturing, logistics, supply chain, field service or construction
Experience running high-uptime services on AWS with strong observability
Experience with Python, TypeScript, Rust or Postgres
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
