Job Description : ISP Tuning Engineer (Jetson Orin / Edge AI 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 qualityevaluation, and camera validation, who can work closely with senior experts to deliver production-ready camera performance across real-world Responsibilities : 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 Quality Evaluation :
Perform subjective and objective image quality (IQ) evaluation across use cases (daylight, low-light, IR)
Use tools like Imatest to analyze :
Color accuracy, dynamic range, SNR
Sharpness, distortion, uniformity
Lens artifacts (flare, chromatic aberration)
Execute benchmarking against reference devices and & 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 Collaboration :
Work with :
Hardware teams (sensor/lens selection, IR filters, optics)
Software teams (camera pipeline integration)
ML teams (camera performance impact on downstream models)
Track issues and improvements using tools like Qualifications :
2 to 5 years of experience in :
ISP tuning / image quality engineering
Camera validation and testing
Hands-on experience with :
ISP parameter tuning (AE, AWB, LSC, noise reduction, etc.)
Image quality tools (e.g., Imatest, ImageJ, similar)
Familiarity with :
Image quality test charts (ISO 12233, Macbeth Color Checker, etc.)
Camera lab setups and lighting environments
Strong debugging and root-cause analysis Qualifications :
Experience with Ambarella or similar ISP platforms
Exposure to :
Automotive cameras (ADAS/DMS)
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 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

(ref:hirist.tech)