Job Title: Computer Vision Engineer V — Imaging Simulation Engineer

Location: Onsite in Sunnyvale, CA

Duration: 12 Months (Extension Possible)

Rate: $127/hr, W2

Benefits: Medical, Dental, Vision and Weekly Pay

Role Summary

Client Reality Labs is a leader in designing virtual and augmented reality systems. This role supports the Cameras Architecture Team as an Imaging Simulation Engineer, responsible for developing, validating, and executing end-to-end camera system simulations—including optics, sensors, algorithms, and software pipelines—to impact future camera architectures.

The position collaborates with researchers, imaging scientists, algorithm engineers, optics teams, and camera architects to enable high-fidelity simulations and accelerate camera technology development for next-generation AR/VR products.

Key Responsibilities

Develop, validate, and execute state-of-the-art imaging simulation software tools to support Client camera hardware exploration, ML dataset generation, and product architecture studies.
Investigate simulation methods such as ISET, ZEMAX, and non-sequential ray tracing to model realistic camera behavior.
Experiment and data collection to validate simulator accuracy and to improve simulator modeling capability and efficiency
Build and bring up lab setups for image data acquisition of camera prototypes to support camera design studies. Operate, calibrate, and perform routine maintenance of lab equipment.
Develop and document camera test methodologies to support 2D/3D camera system performance analysis.
Develop and debug test scripts for image data collection automation
Processing, analysis and organizing measurement data; presentation of initial analysis
Drive supplier interaction and management to deliver camera prototypes in support of concept demonstrations

Qualifications:(10+ Years)

Minimum Qualifications: Advanced degree (M.S.) or equivalent acquired experience in a discipline such as Imaging Science, Image Processing, Computer Vision, or related fields
Knowledge of image formation process (spectrum, optics/aberrations, PSF, sensor noise, Fourier theory, sampling/aliasing) needed to successfully model and simulate complex imaging phenomena
Experience and knowledge in developing and tuning Image Signal Processing (ISP) algorithms and pipeline.
Experience coding in languages such as MATLAB, Python, C/C++, preferably CUDA, design code for efficiency, and target different platforms such as GPU, Cloud, and other
Experiences in image quality testing of camera systems and familiar with image quality metrics and analysis
• Hands on experience in the development of lab setups for camera system performance study
Experiences in camera calibration and modeling of imaging systems
Familiar with image sensor, imaging optics, and image processing algorithms
Ability to work with minimal direction and managing a project independently from start to finish

Must Have Skills:

Understanding of image formation, capturing, and processing pipeline and techniques
Python/Matlab programming, shell scripting skills
Understanding of subjective and objective image quality evaluation metric and testing procedure

Nice-to-Have Skills

Hands-on experience developing lab setups for camera system studies.
Experience with camera calibration and modeling.
Experience at top-tier imaging companies.

Degrees / Certifications Required:

Bachelor's degree required.
Master's or PhD preferred.

Interview Process

Minimum 2 rounds:
Initial hiring manager screen
Technical interview with the engineering team
Topics: imaging simulation, ISP pipelines, image formation, camera modeling, past project deep dives.
Timing:
Manager screen: 30 minutes
Technical interview: 1 hour

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some job duties such as adhering to company policies, exercising sound judgment, managing stress, working respectfully with others, meeting client expectations, and safeguarding business operations and reputation.

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