Senior Camera Tuning Engineer

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

📋 Description

• Take ownership of the entire tuning process: black level, lens shading, defect correction, demosaic, noise reduction, sharpening, color matrices, gamma, tone mapping, and overall aesthetic.

• Adjust 3A (exposure, white balance, flicker) on a wearable platform where the convergence behavior during quick lighting transitions is crucial, rather than just steady-state accuracy.

• Enable low light performance without optical stabilization, utilizing multi-frame techniques that adhere to a strict power budget.

• Manage motion challenges, including ghosting and fusion artifacts from a constantly moving head-mounted camera.

• Develop the measurement methodology for model-facing image quality, evaluate tuning based on downstream task accuracy, and decide whether to implement a single tuning or dual tunings.

• Specify what will be calibrated for each unit during production versus what will be shipped as a unified golden tuning.

• Establish objective and subjective validation processes, with regression tracking that aligns with the release timeline.

⛳️ Requirements

• Over 5 years of experience in camera tuning, including at least two products that have been fully tuned and shipped.

• Extensive hands-on experience with vendor tuning toolchains.

• Proficiency across the complete ISP blockchain, capable of identifying the block responsible for image quality.

• Practical experience in 3A tuning, beyond just 3A configuration.

• Understanding of objective image quality methodologies and standards, such as ISO 12233, ISO 15739, ISO 14524, and CPIQ.

• Laboratory experience with controlled lighting conditions, chart-based measurements, uniform light sources, and reflectance targets.

• Competency in Python or MATLAB.

• Ability to justify tuning decisions with data and adjust them as necessary based on new information.

• Experience with Qualcomm Spectra and Chromatix is preferred.

• Background in tuning or assessing imagery for machine-learning applications is preferred.

• Experience in low-light and multi-frame tuning without optical stabilization is preferred.

• Experience with wearable devices, action cameras, automotive applications, or other non-handset tuning is preferred.

• Familiarity with Imatest, DXO Analyzer, or Image Engineering toolchains is preferred.

• Experience in establishing a tuning lab from the ground up is preferred.

🏝️ Benefits

• Unlimited PTO

• 401(k) match

• A bonus percentage linked to the role

• Fully reimbursed travel and expenses

• Unlimited e-learning opportunities through Coursera

• Relocation assistance