Senior Camera Tuning Engineer

Fresh Consulting•Plantation, FL

1d•$140,000 - $160,000•Hybrid

About The Position

Fresh Consulting is seeking a Senior Camera Tuning Engineer to own camera tuning for a wearable platform. The role covers the full tuning chain, including black level, lens shading, defect correction, demosaic, noise reduction, sharpening, color matrices, gamma, tone mapping, and overall image look. The engineer will tune exposure, white balance, and flicker behavior, with particular attention to convergence during rapid lighting transitions. The position also focuses on low-light performance without optical stabilization, motion-related ghosting and fusion artifacts, and strict power constraints. The engineer will develop a measurement methodology for model-facing image quality, assess tuning using downstream task accuracy, and determine whether one or two tunings should be shipped. They will define production calibration requirements, establish objective and subjective validation, and maintain regression tracking aligned with the release schedule. This is a full-time direct-hire role based in Plantation, Florida, with a hybrid or remote work arrangement. The listed annual salary range is $140,000 to $160,000; compensation depends on factors including location, level, job-related knowledge, skills, and experience.

Requirements

At least 5 years of camera tuning experience, including at least two products tuned end to end and shipped.
Deep hands-on experience with a vendor tuning toolchain.
Fluency across the full ISP pipeline and ability to identify the responsible block from an image.
Hands-on 3A tuning experience, beyond 3A configuration.
Knowledge of objective image-quality methodology and standards, including ISO 12233, ISO 15739, ISO 14524, and CPIQ.
Lab experience with controlled illuminants, chart-based measurement, uniform sources, and reflectance targets.
Proficiency in Python or MATLAB.
Ability to support tuning decisions with data and change decisions when the data changes.

Nice To Haves

Experience with Qualcomm Spectra and Chromatix.
Experience tuning or evaluating imagery for machine-learning consumption.
Low-light and multi-frame tuning experience without optical stabilization.
Wearable, action-camera, automotive, or other non-handset tuning experience.
Experience with Imatest, DXO Analyzer, or Image Engineering toolchains.
Experience establishing a tuning lab from scratch.

Responsibilities

Own the full camera tuning chain, including black level, lens shading, defect correction, demosaic, noise reduction, sharpening, color matrices, gamma, tone mapping, and overall image look.
Tune exposure, white balance, and flicker on a wearable platform, emphasizing convergence during rapid lighting transitions.
Develop low-light performance without optical stabilization using multi-frame techniques that respect a strict power budget.
Address motion, ghosting, and fusion artifacts from an always-moving head-mounted camera.
Build a measurement methodology for model-facing image quality and score tuning based on downstream task accuracy.
Determine whether to ship one tuning or two.
Define which parameters are calibrated on every production unit versus shipped as a single golden tuning.
Establish objective and subjective validation with regression tracking that supports the release schedule.
Defend tuning decisions with data and revise them when the data changes.