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Bedrock Robotics

Software Engineer

New York, NY (Remote)fulltimemidAdded 1 month ago

About this role

Bedrock is seeking an experienced Cloud Software Engineer to design and build core backend infrastructure powering autonomous construction equipment. You'll lead the development of fleet management systems, data services, and operational tools while collaborating with robotics and ML teams to deploy AI-driven solutions on heavy machinery across the country.

What you'll do

  • Design and implement 0-to-1 backend services for autonomous operations and distributed fleet management
  • Develop data-intensive visualization and monitoring systems for robotics operators
  • Partner with frontend, ML, and robotics teams to architect technical solutions
  • Build tooling for autonomous testing, model deployments, and field fleet management
  • Establish core backend frameworks, patterns, and infrastructure standards
  • Ensure high-uptime service reliability through observability and performance optimization

What they're looking for

  • Backend architecture and system design
  • Cloud infrastructure (AWS preferred)
  • High-availability service design and monitoring
  • Geospatial tooling and GIS systems
  • Edge computing and low-latency networking
  • Rapid prototyping and startup development
  • Data-intensive service development
  • Distributed systems

Benefits

  • Equity and $350M in funding backing
  • Hands-on experience with autonomous heavy machinery
  • Collaboration with industry veterans from Waymo, Segment, and Uber Freight
  • Opportunity to impact billion-dollar infrastructure projects
  • Flexible remote work options (offices in SF and NY)
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Bedrock Robotics

Bedrock Robotics develops autonomous construction machinery powered by AI and robotics technology. The company is hiring for roles spanning developer infrastructure, simulation systems, hardware engineering, field robotics application, and frontend engineering to support the development and deployment of autonomous excavators and heavy equipment.

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Likely interview questions

  • Walk us through a backend system you designed from scratch at a startup. What were the key architectural decisions you made, and how did you handle rapid iteration?
  • Describe your experience building and maintaining high-uptime services. What observability and monitoring practices have you found most effective?
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