Bedrock Robotics Logo

Bedrock Robotics

Internship 2027 Sensor Hardware Test Engineer

Reposted 2 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
Internship
Hybrid
San Francisco, CA, USA
Internship
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.
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

As a Sensor Hardware Test intern, you'll work alongside our test engineering team to characterize and validate the sensors - cameras, lidar, and supporting hardware - that power Bedrock's autonomous excavators. You'll help build test fixtures, run structured lab test campaigns, and turn raw sensor data into clear conclusions that guide how we select and integrate hardware. You'll also get out to our field site to see how bench results hold up on a live construction machine. You’ll own a hands-on project involving sensor hardware testing end-to-end, and your results will directly shape what hardware ends up on the next generation of machines.

What You'll Do
  • Build and iterate on test fixtures and benchtop setups - mechanical mounts, wiring harnesses, DAQ integration - used to characterize camera, lidar, and other sensor hardware

  • Run structured sensor test campaigns in the lab, following defined test procedures and capturing repeatable, well-documented data

  • Help safely deploy test setups and instrumentation out at our field site, and support live field test campaigns on active construction equipment

  • Develop tools to automate data collection, process raw sensor logs, and summarize results against pass/fail criteria

  • Help scope and select test equipment (light meters, targets, DAQ hardware, valves and actuators for environmental or fluid test rigs) for new test setups

  • Support electrical and mechanical debugging of test hardware, including wiring, sensor interfacing, and basic CAD work for fixture design

  • Document test methods, results, and findings, and present conclusions to the test engineering team to inform sensor selection and system design decisions

What We're Looking ForRequired
  • Currently pursuing a Bachelor's degree in Electrical Engineering, Mechanical Engineering, Physics, Optics, Mechatronics, or a related field

  • Hands-on experience building or testing hardware through coursework, personal projects, or a prior internship

  • Working proficiency in Python for data processing, scripting, or automation

  • Comfortable with basic lab equipment and electrical debugging (multimeters, oscilloscopes, DAQ systems)

  • Comfortable working outdoors and around active construction equipment, and willing to spend time on-site at our field test location for deployment and field testing

  • Strong written and verbal communication skills, with the ability to document technical work clearly for a team

Preferred
  • Exposure to cameras, lidar, radar, or other sensing hardware through coursework, internship experience, or personal projects

  • Experience with CAD tools for mechanical fixture design

  • Familiarity with Git and working within a shared codebase

  • Prior coursework, internship, or project experience in robotics, autonomous systems, or controls

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

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
An Hour Ago
Hybrid
San Francisco, CA, USA
54K-142K Annually
Entry level
54K-142K Annually
Entry level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Supports entrepreneurial and privately owned business clients with corporate and multistate tax compliance, tax research, international tax planning, partnership and direct tax consulting, tax provisions, modeling, and audit-related activities. The Associate collaborates on client engagements, prepares tax documents, uses data analytics and AI-enabled tools, and develops technical knowledge while building client relationships. Business-level Japanese and English fluency is required, along with an accounting degree and CPA exam eligibility.
Top Skills: Artificial IntelligenceData Analytics

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