Senior Android Camera Framework Engineer

atFresh ConsultingRemoteUS flagFloridaFull-timeAndroid EngineerSenior$140k – $160k/year

Posted 14 hours ago

This is a fully remote position, open to applicants in Florida.

📋 Description

• Take charge of the camera HAL3 implementation and ensure its reliability through platform updates.

• Integrate the vendor ISP pipeline, which includes node graphs, use cases, and managing capture requests.

• Address the concurrent-stream challenge for preview, still images, video, and ML inference using a single sensor.

• Develop zero-copy buffer pathways to the encoder and display, aiming to reduce CPU usage and power consumption.

• Manage camera metadata, including the requirements for a vision-language model to accurately interpret a frame.

• Configure stabilization for continuous head motion using hardware timestamps provided by the kernel team.

• Design a system to communicate thermal limits to applications and users proactively, avoiding silent failures.

• Oversee the privacy pathway, which includes capture indicators, permissions, and SELinux policies.

• Deliver the Camera2 and CameraX surfaces that first-party and third-party applications will utilize.


⛳️ Requirements

• Over 5 years of experience with the Android camera framework.

• Practical experience in HAL3 / AIDL camera development; has either implemented or significantly rewritten a HAL, rather than just configuring it.

• More than 3 years of experience in C++ programming.

• Proficient in the camera metadata model.

• Familiarity with stream configuration and buffer management for concurrent use cases.

• Knowledgeable in Camera2 and CameraX.

• Experience with the AOSP build system, SELinux, and SEPolicy.

• Comfortable working on both sides of the HAL boundary, adept in logcat and kernel traces.

• Experience with Qualcomm CamX / Chi-CDK.

• Knowledge of zero-copy media pipelines (MediaCodec, Gralloc, DRM).

• Experience with camera applications beyond the traditional phone form factor, particularly without a standard viewfinder.

• Skilled in feeding ML inference from a live camera pipeline.

• Experience with capture devices developed under privacy regulations (GDPR, EU AI Act).

• Familiarity with CTS / VTS camera compliance.


🏝️ Benefits

• Unlimited Paid Time Off (PTO).

• 401(k) matching.

• Bonus percentage linked to role performance.

• Complete reimbursement for travel and expenses.

• Unlimited access to e-learning through Coursera.

• Assistance with relocation.

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