Camera Embedded Engineer
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-02-16
Listing for:
Intelliswift - An LTTS Company
Full Time
position Listed on 2026-02-16
Job specializations:
-
Engineering
AI Engineer, Computer Science, Embedded Software Engineer, Robotics
Job Description & How to Apply Below
Overview
Employment Type:
Full-Time with L&T Technology Services (LTTS).
We are seeking a Camera & ISP Engineer to design, develop, and optimize end‑to‑end camera and image signal processing pipelines that power next‑generation AI systems. This role sits at the intersection of hardware, low‑level software, and machine learning, and plays a critical part in enabling high‑quality visual inputs for advanced perception and multimodal models.
You will work closely with AI researchers, systems engineers, and product teams to translate raw sensor data into high‑fidelity images and features that are robust, efficient, and scaled for real‑world deployment.
Key Responsibilities- Design, develop, and tune ISP pipelines including demosaicing, noise reduction, HDR, tone mapping, color correction, sharpening, and scaling
- Bring up and integrate camera sensors (CMOS, global/rolling shutter) into embedded or compute platforms
- Optimize image quality (IQ) across diverse lighting, motion, and environmental conditions
- Collaborate with ML teams to ensure camera/ISP outputs are optimized for computer vision and foundation models
- Bachelor’s or master’s degree in electrical engineering, Computer Engineering, Computer Science, or a related field
- Strong hands-on experience with camera systems and ISP pipelines
- Solid understanding of:
Image sensors, optics, exposure control, HDR - Color science and image quality metrics
- Experience with C/C++ and low-level development on embedded or Linux-based systems
- Familiarity with camera frameworks and standards (e.g., V4L2, Android Camera HAL, GStreamer)
- Strong debugging and problem-solving skills across hardware and software boundaries
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