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.
The Role:
As a Sensors Test and Verification Engineer at Bedrock Robotics, you will play a critical role in ensuring the performance, reliability, and safety of the sensing systems that power our autonomous platforms. Working across lab, controlled, and live operational construction environments, you will design and execute tests that uncover real-world failure modes, drive system improvements, and enable confident deployment of autonomy in complex construction settings. Your work will directly impact the robustness and readiness of Bedrock’s autonomy stack.
What you’ll do:
Design, develop, plan and execute comprehensive sensor test plans across laboratory, structured, and live field test environments
Characterize and verify performance of sensing systems including lidar, cameras, radar, and supporting sensor cleaning systems
Define and scale test methodologies, including selection and development of test equipment and internal lab infrastructure
Build reusable sensor data analysis, test automation, and performance evaluation software tools.
Develop and execute adversarial and edge-case scenarios to stress system performance and identify failure modes
Analyze test data, track key performance indicators (KPIs), and document results against system requirements
Collaborate cross-functionally with systems, software, hardware, and perception teams to improve system performance and validation coverage
Required Qualifications:
Bachelor’s degree in Electrical Engineering, Mechatronics, Optics, Physics, or a related field
5+ years of experience in robotics, autonomous systems, aerospace, or a related industry
Hands-on experience with testing and validation of autonomy sensors (e.g., lidar, radar, cameras, GNSS, IMUs)
Familiarity with sensor-specific test methodologies (e.g., MTF, stray light analysis, radiometric calibration, color characterization)
Proficiency in Python or similar scripting languages for test automation and data analysis
Experience designing and building test fixtures, along with hands-on hardware debugging
Experience with systems engineering verification and validation (V&V) practices
Strong cross-functional collaboration skills across distributed teams
Excellent technical writing and communication skills
Willingness to spend 1–3 days per week at a field site in the San Francisco East Bay (Vallejo)
Bonus:
Experience with perception systems, machine learning, or autonomy stacks
Background in construction, mining, or heavy industrial equipment
Experience with test automation in production or deployment environments
Familiarity with Git and working within large codebases
Experience with sensor manufacturing and high-volume production environments
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.
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