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Bachelor
Shape the future of imaging for millions of Ring cameras worldwide. As a System Development Engineer focused on ISP tuning and Image Quality, you will optimize the imaging pipeline—from raw sensor data to final output—to deliver consistent, high-quality images across diverse real-world conditions. You’ll work at the intersection of camera hardware, ISP algorithms, and system validation, improving how users experience Ring devices every day. This role goes beyond parameter tuning—you’ll analyze complex image quality challenges, explore trade-offs in computational photography, and contribute to solutions that scale across products. Why this role stands apart:
Key job responsibilities As a System Development Engineer focused on Image Quality and tuning, you'll operate as a strong technical contributor driving execution: Execute Technical Initiatives
A day in the life You're working on ISP tuning for a new Ring camera launching in six months. Morning starts analyzing overnight automated test results—the validation framework flagged unexpected color shifts in mixed lighting conditions that weren't caught by standard protocols. You dive deep: pulling raw sensor data, examining ISP parameter interactions, running statistical analysis to isolate the root cause. It's a complex interplay between auto white balance and color correction matrices under specific CCT ranges. You design targeted experiments, optimize the parameters, and validate improvements through both objective metrics and subjective assessment. Mid-morning, you join an architecture review with the camera team. A firmware engineer proposes changes to the noise reduction pipeline that could impact tuning work. You ask clarifying questions about the trade-offs, identify potential risks to edge-case performance, and contribute your perspective on maintaining IQ standards. Your analysis helps inform the team discussion. After lunch, you notice that low-light validation coverage has gaps—certain real-world scenarios aren't adequately tested. You develop a new automated test suite that improves coverage for challenging lighting conditions, documenting the approach so it can be reviewed and potentially adopted for future products. You spend time mentoring a junior engineer struggling with exposure control tuning, walking through a systematic approach: understanding the problem space, identifying key parameters, designing experiments, analyzing results, and iterating. You're helping build the team's capabilities. Late afternoon brings a manufacturing call with your offshore partner. Yield data shows unexpected variation in one parameter. You contribute to the troubleshooting discussion, suggesting testable hypotheses and helping guide the team toward corrective actions that address root causes rather than symptoms. You wrap up documenting your tuning work and preparing an update for the team on progress toward launch targets. Your work today moved the product forward, supported team capabilities, and contributed to approaches that will benefit the portfolio.
About the team The Camera and Imaging Team in Amazon is Ring's center of excellence for imaging technology—where we define what makes Ring cameras capture exceptional imagery. Our 50+ person team spans Camera Architects, IR/WLED and ALS Designers, IQ TPMs, Image Quality Engineers, and IQ Firmware Engineers, with additional members in Cambridge. What makes this team special:
Deep expertise: Accumulated knowledge from junior to principal-level engineers covering the full imaging stack
Collaborative environment: Experts sit together—sketch an idea, get immediate feedback from specialists in optics, sensors, ISP, or AI
Strategic importance: Your work directly shapes the user experience for millions of Ring devices worldwide
Growth trajectory: Expanding team with opportunities to develop your skills and increase your influence on Ring's imaging future We balance hands-on technical work with strategic thinking, delivering today's products while contributing to tomorrow's innovations.
MSc, BSc, or equivalent in relevant technical field
Strong understanding of ISP algorithms and image processing pipelines
Experience with ISP tuning for camera systems (exposure control, white balance, color correction, noise reduction, sharpening)
Working experience in image quality validation and testing methodologies
Demonstrated ability to solve difficult technical problems at team level autonomously
Strong analytical skills using Python or MATLAB for data analysis and visualization
Experience with automated image quality testing frameworks and tools
Knowledge of camera control algorithms (AE, AWB, AF)
Familiarity with industry-standard IQ test charts and measurement equipment (e.g., Imatest)
Experience working with factory manufacturing and production validation
Hardware validation and debugging experience
Experience integrating AI-based approaches into traditional ISP pipelines is a plus
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