ISP Tuning Engineer

Job Description: ISP Tuning Engineer (Jetson Orin / Edge AI Cameras)

About the Role

We are looking for an ISP Tuning Engineer to support image quality optimization and camera

performance tuning on edge AI platforms, particularly NVIDIA Jetson Orin.

This role is ideal for engineers with hands-on experience in ISP tuning, image quality

evaluation, and camera validation, who can work closely with senior experts to deliver

production-ready camera performance across real-world deployments.

Key Responsibilities

ISP Tuning & Image Quality Optimization

Assist in tuning ISP pipelines (AE, AWB, noise reduction, sharpness, contrast, color) for

camera systems deployed on edge devices

Work with senior experts to adapt and optimize ISP tuning for Jetson Orin-based platforms

Debug ISP pipelines and identify image artifacts (noise, color shifts, distortion, HDR

issues)

Support calibration of camera modules across varied lighting and environmental

conditions

Image Quality Evaluation

Perform subjective and objective image quality (IQ) evaluation across use cases

(daylight, low-light, IR)

Use tools like Imatest to analyze:

o Color accuracy, dynamic range, SNR

o Sharpness, distortion, uniformity

o Lens artifacts (flare, chromatic aberration)

Execute benchmarking against reference devices and competitors Testing & Validation

Design and execute IQ validation workflows for different camera systems

Generate detailed IQ reports with findings, root cause analysis, and recommendations

Support lab-based and real-world testing using controlled lighting setups

Cross-Functional Collaboration

Work with:

o Hardware teams (sensor/lens selection, IR filters, optics)

o Software teams (camera pipeline integration)

o ML teams (camera performance impact on downstream models)

Track issues and improvements using tools like Jira

Required Qualifications

25 years of experience in:

o ISP tuning / image quality engineering

o Camera validation and testing

Hands-on experience with:

o ISP parameter tuning (AE, AWB, LSC, noise reduction, etc.)

o Image quality tools (e.g., Imatest, ImageJ, similar)

Familiarity with:

o Image quality test charts (ISO 12233, Macbeth Color Checker, etc.)

o Camera lab setups and lighting environments

Strong debugging and root-cause analysis skills

Preferred Qualifications

Experience with Ambarella or similar ISP platforms

Exposure to:

o Automotive cameras (ADAS/DMS)

o Surveillance or consumer camera systems

Familiarity with Jetson Orin or NVIDIA camera stack (nice to have, not required)

Understanding of HDR pipelines (e.g., DOL-HDR)

Experience working with multi-camera or edge AI systems What Success Looks Like

Ability to independently execute ISP tuning tasks with expert guidance

Improved image quality across diverse real-world conditions

Reliable camera performance for downstream AI/ML systems

High-quality validation reports and clear communication with stakeholders