Bedrock Robotics Logo

Bedrock Robotics

Don't fit another role but want us to consider you? Apply here...

Posted 14 Days Ago
Remote or Hybrid
Hiring Remotely in San Francisco, CA, USA
Entry level
Remote or Hybrid
Hiring Remotely in San Francisco, CA, USA
Entry level
Join a cutting-edge team deploying autonomous systems on construction machinery, enhancing safety and project efficiency in infrastructure projects.
The summary above was generated by AI

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.

We welcome applications from passionate candidates who may not already fit an existing role.

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.

Top Skills

AI
Algorithms
HQ

Bedrock Robotics San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

An Hour Ago
Easy Apply
Remote
United States
Easy Apply
114K-147K Annually
Senior level
114K-147K Annually
Senior level
Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Software • Manufacturing
The Project Operations Manager will lead complex project deployments, improving operational excellence and ensuring timely execution while managing stakeholder communication and risks.
Top Skills: Salesforce
An Hour Ago
Easy Apply
Remote
United States
Easy Apply
130K-158K Annually
Senior level
130K-158K Annually
Senior level
Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Software • Manufacturing
Lead, mentor, and scale a team of Field Engineers to deploy AI-driven predictive maintenance solutions, ensuring operational excellence and financial accountability.
Top Skills: AIDigital ToolsPredictive Maintenance
An Hour Ago
Easy Apply
Remote
United States
Easy Apply
232K-310K Annually
Senior level
232K-310K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.
Top Skills: AirflowCatboostKubeflowLightgbmMachine LearningMlflowPythonPyTorchSparkXgboost

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account