Internship 2027 Sensor Systems Engineer

1 мес. назад

СШАTraineeHybrid

sensor integrationdata analysissystems engineering

Internship role focused on sensor selection and placement analysis for autonomous construction equipment.

Every new machine type we bring into the fleet raises the same question from scratch: which sensors, where do they go and what are they used for? The Systems / Sensors team answers it with analysis rather than guesswork, trading off coverage, cost, durability, and what will actually survive on a jobsite. As our Sensor Systems intern, you'll own sensor selection and placement analysis for a new machine platform, from first trade study to validation on real steel.
Work at the intersection between sensor physics, autonomy systems architecture, mechanical integration and design.
Analyze sensor coverage, occlusion, and blind spots for candidate sensor suites on new machine types
Build or extend tooling that models field of view, range, and coverage geometry
Run trade studies weighing performance against cost, durability, and mounting constraints
Prototype mounting concepts and validate coverage assumptions on actual machines
Turn your analysis into sensor requirements and specs the hardware team can build to
Work across perception, hardware, and safety to make sure the suite serves everyone downstream

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.
Currently pursuing a BS, MS, or PhD in an engineering or engineering-adjacent discipline such as mechanical, electrical, physics, mechatronics, robotics, or computer science (or bringing equivalent hands-on experience)
Solid grasp of 3D geometry, coordinate frames, and transforms
Python for analysis and tooling
CAD fluency - enough to reason about where hardware physically goes
Willingness to go to mock construction sites and test sensor configurations