We have an urgent, brand-new requirement for a **Simulation CV/ML Engineer** supporting an exciting engagement with Meta in **Sunnyvale, CA** (3 days onsite per week).
**Position Details:**
* **Role:** Simulation CV/ML Engineer
* **Location:** Sunnyvale, CA (3 days onsite / hybrid)
* **Employment Type:** Contract via **Infosys W2 (Mandatory Infy W2 payroll from Day 1)**
* **Work Authorization:** Visa independent candidates are welcome (**OPT, , and s** are all eligible).
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### **Key Responsibilities:**
* Run and iterate on camera/sensor simulation pipelines to generate synthetic datasets on demand.
* Deliver training and evaluation data to camera architects and ML teams under tight timelines.
* Support ML algorithm training and evaluation using generated synthetic data—run training jobs, produce metrics, and iterate on dataset composition based on model performance.
* Configure simulation scenes and sensor parameters to match customer and architect specifications.
* Validate and quality-check generated data before hand-off, while maintaining and improving simulation tooling and dataset generation scripts.
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### **Required Qualifications:**
* **Education & Experience:** Bachelor’s degree in Computer Science or a related field, with 5+ years of software engineering experience focusing on ML infrastructure design.
* **Programming:** 5+ years of hands-on development experience in **Python and C++**.
* **Camera & Sensor Simulation:** Solid fundamentals in camera intrinsic/extrinsic setup and calibration, sensor modeling (noise sources, conversion gain, quantum efficiency, read/shot noise), and ISP/image formation.
* **ML Training & Evaluation:** Proven experience running ML training/evaluation workflows (**PyTorch preferred**) and interpreting model metrics to drive dataset improvements.
* **Data & Environment:** Comfortable with large-scale dataset generation, storage, and versioning, operating within Linux development environments and source control.
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### **Preferred Qualifications:**
* Experience with rendering engines (Blender, Unreal, Unity) or in-house simulation frameworks.
* Optical/imaging background (radiometry, PSF, MTF).
* Prior experience with camera/ISP tuning or perception model development.
