Senior Camera Tuning Engineer

Fresh Consulting

. Own the full tuning chain: black level, lens shading, defect correction, demosaic, noise reduction, sharpening, color matrices, gamma, tone mapping, and overall look .

Posted 11/10/2026full-timeRemote • Florida • United StatesSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in camera tuning, including hands-on experience with 3A tuning and a deep understanding of image quality methodologies. Proficient in utilizing vendor tuning toolchains and capable of establishing measurement methodologies for image quality validation.

Highest-signal resume keywords

Camera Tuning Experience3A Tuning ExpertiseFluency In ISP BlockchainObjective IQ Methodology KnowledgeProficiency In Python Or MATLAB

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Camera Tuning3A TuningImage Quality MethodologyMulti-Frame TechniquesData-Driven Decision MakingLow-Light TuningDefect CorrectionNoise ReductionSharpeningColor Matrices

Soft Skills

Analytical ThinkingProblem SolvingAttention To Detail

Tools & Technologies

Qualcomm SpectraChromatixImatestDXO AnalyzerImage Engineering Toolchains

Certifications & Qualifications

ISO 12233ISO 15739ISO 14524CPIQ

Industry Keywords

Wearable CameraAction CameraAutomotive TuningMachine Learning Imagery EvaluationTuning Lab Setup

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own the full tuning chain: black level, lens shading, defect correction, demosaic, noise reduction, sharpening, color matrices, gamma, tone mapping, and overall look
Tune 3A (exposure, white balance, flicker) on a wearable platform where convergence behavior during rapid lighting transitions matters more than steady-state accuracy
Make low light work without optical stabilization, using multi-frame techniques that respect a strict power budget
Handle motion, including ghosting and fusion artifacts from a head-mounted camera that is always moving
Build the measurement methodology for model-facing image quality, scoring tuning on downstream task accuracy, and determine whether to ship one tuning or two
Define what gets calibrated on every unit in production versus what ships as a single golden tuning
Stand up objective and subjective validation, with regression tracking that holds up against a release schedule

Requirements

What you’ll need

5+ years of camera tuning experience, including at least two shipped products tuned end to end
Deep hands-on experience with a vendor tuning toolchain
Fluency across the full ISP blockchain, able to look at an image and name the block responsible
Hands-on 3A tuning experience, not only 3A configuration
Knowledge of objective IQ 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 defend a tuning decision with data, and change it when the data changes
Experience with Qualcomm Spectra and Chromatix (preferred)
Experience tuning or evaluating imagery for machine-learning consumption (preferred)
Low-light and multi-frame tuning without optical stabilization (preferred)
Wearable, action camera, automotive, or other non-handset tuning experience (preferred)
Experience with Imatest, DXO Analyzer, or Image Engineering toolchains (preferred)
Experience standing up a tuning lab from scratch (preferred)

Benefits

Comp & perks

unlimited PTO
401(k) match
a bonus percentage tied to role
fully reimbursed travel and expenses
unlimited e-learning through Coursera
relocation assistance