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New York, New York, United States
Hybrid
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.
The Role:
Take on a lead role in designing and building the core services and infrastructure that will power the next generation of autonomous construction equipment. From fleet management to autonomous task orchestration and machine coordination- you’ll work with a world class engineering team to build and design the core infrastructure that powers our machine interfaces, workflows, and services.
Also, you get to drive 100,000 lb excavators.
What You'll Do:
Own the design, architecture, implementation and iteration of 0-to-1 services and infrastructure to support autonomous operations and distributed fleet management
Develop data intensive services for machine operators to visualize and monitor robotics systems
Partner closely with a full stack team (from Frontend, to ML and Robotics) to design technical solutions efficiently, be comfortable with rapid prototyping and experimentation
Build tooling to streamline processes such as autonomous testing, model deployments, and in-the-field fleet management
Establish our core backend frameworks, patterns, and infrastructure
Required Qualifications:
6+ years of professional experience owning the design, architecture and implementation of backends to highly complex, business critical applications
Expertise in running and maintaining high-uptime services: observability, monitoring, and performance tuning
Small startup experience: rapid prototyping and building from the ground up
Capability to design and implement application architectures from first principles with modern cloud technologies
Preferred Qualifications:
Some experience building with complex geospatial tooling (e.g. GIS, robotics, construction tech, command & control interfaces)
Experience dealing with infra at the edge: low latency SLAs in dynamic bandwidth environments (LTE, IoT, mobile)
Experience working in AWS
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.