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Overview

Are you passionate about building cool devices and technologies? The Surface team is lighting up Microsoft experiences with the next generation of devices. A fundamental part of our strategy is transforming innovative ideas and technologies into platforms and products that enable Microsoft to deliver the most productive devices on the planet. Creating these devices involves a close partnership between hardware and software engineers, designers, and manufacturing. We are currently building the next generation and Surface needs you!

Microsoft Surface camera team is looking for a camera system engineer/architect with excellent leadership skills to join our team. As **Senior Camera System Architect** you will own delivery of imaging systems at a product level and contribute to our technology roadmap for the future. You will work closely with internal and external camera partners to deliver hardware and software designs to enhance the camera experience for Surface products.

The camera system engineer is a member of the camera subsystem team delivering end-to-end camera pipelines that include image capture, image processing, and image signal processing (ISP) pipeline tuning. You will work on a broader multi-function product development team where you will define the customer’s camera experiences, work with internal and external partners for their development, and deliver them on future Surface products. The ideal camera system engineering candidate is an electrical engineer with formal training in image processing and with knowledge of competitive camera features, Complementary Metal-Oxide-Semiconductor (CMOS) image sensors, lenses, camera software stack, and imaging AI.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

+ Own delivery of camera solutions as a product’s lead camera system engineer. Responsibilities include sensor recommendations; proposing new ISP algorithms and features based on hardware and software capabilities; collaborating with internal application partners to understand requirements and enhance the user experience; working with ISP partners to develop camera system drivers; and partnering with image quality and algorithm engineers to evaluate processing architectures for optimal power and performance and image quality.

+ Design and develop end-to-end camera systems, integrating sensors, optics, ISP pipelines, and AI-based imaging algorithms.

+ Collaborate with cross-functional teams (hardware, software, product) to define camera system requirements and performance targets.

+ Work with silicon partners to understand ISP capability of selected platforms and to influence and define ISP roadmaps.

+ Contribute to the camera team’s development of a multi-year camera roadmap for sensors and customer experiences that spans the business roadmap.

+ Stay up-to-date with the latest advancements in imaging AI, camera hardware, and power-efficient computing.

Qualifications

Required Qualifications:

+ Master's Degree in Electrical Engineering, Computer Engineering, or related field AND 3+ years technical engineering experience

+ OR Bachelor's Degree in Electrical Engineering, Computer Engineering, or related field AND 5+ years technical engineering experience

+ OR equivalent experience.

+ Experience with PC or mobile camera systems.

+ Expert knowledge of image capture and image signal processing design (ISP).

+ Knowledge of Complementary Metal-Oxide-Semiconductor(CMOS) image sensors and lenses.

+ Experience delivering high performance imaging systems in a high-volume consumer product.

+ Excellent interpersonal skills and cross-group collaboration.

Preferred Qualifications:

+ Master's Degree in Electrical Engineering, Computer Engineering, or related field AND 6+ years technical engineering experience

+ OR Bachelor's Degree in Electrical Engineering, Computer Engineering, or related field AND 8+ years technical engineering experience

+ OR equivalent experience.

+ Experience developing and integrating imaging AI solutions that augment the capabilities of the ISP.

+ Knowledge of hardware acceleration (e.g., NPUs) and familiarity with power profiling tools.

\#CameraSystemArchitect, #CameraSystemEngineer, #ImagingSystems, #ImageProcessing, #CMOSImageSensors, #ISPPipeline, #ImagingAI, #OpticsEngineering, #SurfaceDevices, #ProductDevelopment

Electrical Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (https://careers.microsoft.com/v2/global/en/accessibility.html)