Bedrock Robotics Logo

Bedrock Robotics

Internship 2027 Hardware Engineer

Posted Yesterday
Be an Early Applicant
Hybrid
San Francisco, CA, USA
Internship
Hybrid
San Francisco, CA, USA
Internship
Support the design, integration, characterization, testing, and validation of autonomous hardware systems for construction equipment. Evaluate components, write Python, C++, C, or Rust scripts for sensor data analysis and test automation, run tests, collect data, and document results. The intern will work with embedded compute platforms, autonomous sensors, communication protocols, and hardware integration under senior engineer guidance.
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 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.

About the Role & Team

Bedrock is bringing autonomy to the construction industry! We're a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. We're growing our sizable fleet of retrofitted autonomous construction machines and we're looking for a motivated hardware engineering intern to support system testing and integration. You will work alongside senior engineers who design these systems, and you will help deliver robust and capable autonomous HW systems to the field.

What You'll Do
  • Support the design, characterization, integration, and validation of Bedrock autonomy hardware and related systems, under the guidance of senior engineers.

  • Assist with component evaluations for our autonomous HW platforms

  • Write sensor data analysis and test automation scripts (Python and/or C++/C/Rust)

  • Run tests, collect data, and document results clearly for the engineering team

What We're Looking ForRequired
  • Currently pursuing a Bachelor's degree in Electrical Engineering, Mechatronics, or a related field at the University of Waterloo

  • Solid foundational knowledge in HW engineering subjects such as mechanical, electrical, and embedded SW

  • Coursework or project experience with some or all of the following:

    • Embedded compute platforms, including single-board computers or edge compute modules

    • Common autonomous sensing technologies such as lidar, camera, radar, GNSS, or IMUs

    • Packaging and integration of HW systems, including basic mechanical or thermal considerations

    • Basic signaling and communication protocols such as CAN, UART, SPI, or Ethernet

  • Proficiency in one or more of Python, C/C++, or Rust, with the ability to write scripts for tests, data collection, or analysis

  • Strong fundamentals in circuits, signals, and basic mechanical design

  • Comfortable working in a lab environment with tools such as a multimeter, oscilloscope, function generator, soldering iron, or hammer when necessary :)

Preferred
  • Prior co-op terms, personal projects, or club experience (e.g. UW Robotics, Formula Electric, WATonomous) in hardware or embedded systems

  • Expertise with camera, lidar, radar, IMU, or GNSS

  • Embedded compute platforms, in particular the Nvidia Jetson lineup

  • Communication protocols (CAN, UART, SPI, RS232/422/485, Ethernet, etc.)

  • Curiosity about autonomy and prior work in this area

  • Basic PCB design or schematic capture tools (KiCad, Eagle, Altium, Cadence, etc.)

  • Experience with version control (git) and collaborative engineering workflows

  • Familiarity with construction, off-road, or heavy equipment

  • A portfolio of personal or academic hardware projects (robotics, embedded systems, etc.)

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.

HQ

Bedrock Robotics San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

2 Days Ago
Hybrid
San Francisco, CA, USA
Internship
Internship
Robotics
Test and validate camera, lidar, and supporting sensor hardware for autonomous excavators. Responsibilities include building test fixtures, integrating wiring and DAQ systems, running lab and field test campaigns, automating data collection with Python, processing sensor logs, debugging electrical and mechanical hardware, selecting test equipment, documenting results, and presenting conclusions that guide sensor and system design.
Top Skills: CadCamerasDaq SystemsGitLidarMultimetersOscilloscopesPythonRadar
61K-113K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles moderately complex to complex workers compensation claims from investigation through resolution. Responsibilities include determining coverage, liability, compensability, reserves, and damages; negotiating settlements; coordinating litigation; engaging experts; referring claims for subrogation or investigation; and attending legal proceedings. Provides technical guidance, mentorship, quality review participation, and support with caseload management and claim team activities.
An Hour Ago
Hybrid
San Francisco, CA, USA
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead core banking modernization and business application transformation projects for clients. Analyze client needs, implement tailored software solutions, guide integrations, and improve operational efficiency. Coach teams, solve complex problems using systems thinking, validate project outcomes, manage stakeholders, and provide strategic advice. Promote innovative technologies and practices while ensuring deliverables align with client objectives and industry standards.
Top Skills: Business ApplicationsBusiness Data AnalyticsCore Banking Platforms

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