Software Engineer

Bedrock Robotics; San Francisco (CA); On-site; USD 170,000 - 210,000; Full time

Job summary

Bedrock Robotics is hiring a Lead Backend Engineer to design and build core services and infrastructure powering autonomous construction equipment. You will own backend architecture, ensure high-uptime operations, and collaborate with a multi-disciplinary team including Frontend, ML, and Robotics engineers.

You will work on data-intensive services for operators, fleet management, and autonomous task orchestration, with opportunities to influence core infrastructure and tooling.

Qualifications

• 6+ years owning backend design, architecture and implementation of critical apps.
• Expertise running high-uptime services: observability, monitoring, performance tuning.
• Experience with rapid prototyping in a small startup environment.
• Ability to design architectures from first principles using modern cloud tech.

Responsibilities

• Own design, architecture, and implementation of 0-to-1 backend services for autonomous ops.
• Develop data-intensive services for operators to visualize robotics systems.
• Collaborate with Frontend, ML, and Robotics teams to craft efficient technical solutions.
• Build tooling for autonomous testing, model deployments, and fleet management.
• Establish core backend frameworks, patterns, and infrastructure.

Skills

Backend design

High uptime services

Startup rapid prototyping

Cloud architectures

Job description

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.

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