AI Perception Intern (PICO) - 2027 Start (PhD)

We build cameras for AI perception, not for human eyes. This internship contributes to the perception pipeline — data, models, deployment, and test — for low-power camera/sensing systems on wearable devices, working alongside an engineer/researcher.

Responsibilities

• Contribute to power- and compute-efficient machine vision perception pipelines: data preparation, model training, quantization/optimization, and edge deployment.
• Help build and run test platforms and benchmarks for camera/perception performance (latency, power, accuracy).
• Support camera/sensor experiments: ISP-to-perception data flows, capture, calibration, and evaluation.
• Prototype and iterate on scoped components with guidance.

Qualifications

Minimum Qualifications

• Currently enrolled in a PhD (or exceptional undergraduate) in EE, ECE, CS, Physics, or a related technical discipline.
• Solid programming in Python and/or C/C++; PyTorch or equivalent.
• Hands-on experience in at least one of: computer vision / ML, embedded/edge systems, or camera/image-sensor/imaging pipelines — with genuine exposure to cameras, images, or visual perception (adjacent-only modalities such as MRI/ultrasound/biosignals do not count).
• Able to execute a scoped project with guidance in a fast-paced, multidisciplinary team; good communication.

Preferred Qualifications

• Efficient/edge model deployment: quantization, pruning, ONNX/TensorRT, NPU/DSP.
• Image/video CV, 3D vision, or event/depth sensing experience.
• Embedded/hardware exposure: sensor bring-up, FPGA, PCB, or camera-pipeline work.
• Comfort leveraging modern ML tools (VLM/LLM) in the workflow.

Benefits

• Day one access to health insurance, life insurance, and wellbeing benefits.
• 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half).
• Housing allowance for interns not working 100% remote.

Pay

The hourly rate for this position is $55.