Simulation CV/ML Engineer

Job Title: Simulation CV/ML Engineer

Location: Sunnyvale, CA (Hybrid, 3 days onsite)

Duration: 12 -Month Contract (Potential for Extension)

We are seeking a Simulation CV/ML Engineer to help develop and operate advanced camera and sensor simulation pipelines that generate high-quality synthetic datasets for machine learning applications. This role sits at the intersection of computer vision, machine learning, imaging systems, and software engineering.

The ideal candidate will have experience working with camera or sensor simulation environments, building ML pipelines, and supporting model training and evaluation efforts using synthetic data. You will collaborate closely with imaging, computer vision, and machine learning teams to improve model performance through data-driven iteration.

Top Skills

Camera & Sensor Simulation

Python & C++ Development

Machine Learning Training & Evaluation

Required Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.

5+ years of software engineering experience.

Strong programming experience in Python and C++.

Experience building and maintaining machine learning infrastructure, pipelines, or data workflows.

Experience running machine learning training and evaluation workflows using frameworks such as PyTorch.

Strong understanding of computer vision and image-based machine learning systems.

Knowledge of camera and sensor simulation concepts, including:

Camera calibration and parameter modeling

Intrinsic and extrinsic camera systems

Sensor noise modeling

Image formation fundamentals

Imaging pipeline concepts

Experience working with large-scale datasets and data lifecycle management.

Strong Linux development experience and familiarity with version control systems.

Preferred Qualification s

Experience with simulation or rendering platforms such as Blender, Unreal Engine, Unity, or similar environments.

Background in imaging, optics, or sensor technologies.

Experience with perception systems, camera tuning, or computer vision model development.

Understanding of optical performance concepts such as image quality characterization and sensor performance analysis.

Experience developing end-to-end AI or machine learning solutions.