Computer Vision Camera Systems Internship

Computer Vision Camera Systems Internship (Alphacore - Tempe, AZ - Onsite)We're looking for an intern who's equally at home on the optical bench and in a Pythonnotebook, eager to turn raw sensor data into real-time insight.Qualifications• Working toward or holding a degree in Optical Engineering, Electrical Engineering, Robotics, Computer Science, or a closely related field.• Hands-on experience with camera hardware and basic lab instrumentation.• Understanding of intrinsic & extrinsic calibration, camera-pose estimation, and radiometric calibration.• Proficiency in Python or C++; experience deploying code on embedded/edge platforms is a plus. Interest in applying machine-learning frameworks (e.g., TensorFlow, PyTorch) to imaging problems.• Strong problem-solving skills and the curiosity to dig deep into both hardware and software.What You'll Do• Calibrate advanced cameras - derive lens intrinsics, sensor extrinsic, and radiometric response curves.• Integrate multi-sensor rigs - time-align cameras with IMUs, range finders, and custom electronics, then capture synchronized datasets.• Build edge pipelines - deploy calibration-informed perception algorithms on embedded CPUs/GPUs for live testing.• Prototype rapidly in the lab - design fixtures, script data collection, and iterate on hardware-software interactions for next-generation imaging systems.Other Job RequirementsDue to U.S. export-control (ITAR) regulations, this position is open to U.S. persons only (citizens or lawful permanent residents).How to ApplyEmail your resume, to [email protected] with the subject line "Computer Vision Camera Systems Internship"About UsAlphacore designs image sensors from the transistor level up. We craft pixel architectures, tape them out, and turn them into complete camera chips-giving you a front-row seat to semiconductor design flows, optical test benches, and the way manufacturing decisions ripple into imaging performance. Join our tight-knit Tempe team and help push camera technology to its next breakthrough.Learn more about us