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Bedrock Robotics Inc

Software Engineer

New York, United States

Location
New York, United States
Work
Hybrid
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
Not stated
Posted
4 months ago

About the role

Join the team bringing autonomy to the built world

At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.

In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic

In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.

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

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.

Source

Posted by Bedrock Robotics Inc on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 05:03 UTC; the original is the reference.

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