Product Lead Engineer – Camera

Job Description

• Collect, structure, and communicate Camera product-specific market requirements, OEM needs, end-customer expectations, market trends, and competitor signals from the assigned region into the segment camera.
• Build technical customer intimacy and influence customer requirements before and during RFI/RFQ to improve product fit, acquisition readiness, and customer-specific positioning. Maintain a customer approach strategy for each customer that contains current status, next steps, competitor positioning, Architecture directions
• Translate the voice of market into product definition input, Device Key Requirements (DKR) proposals, roadmap feedback, product family strategy challenges.Understand local competition and entry vectors of competitors and create strategies to win customer over. Maintain SW-Stack, SoC and camera specification within the market
• Support pre-sales and quote handover by providing market context, product-specific customer insights, and competitive positioning to Technical Quote Management together with Sales/PDS.
• Execute camera product marketing activities for the assigned product scope, including demos, technical storytelling, product promotion, and preparation of customer-facing product material.
• Share regional learnings globally, support reuse of requirement and acquisition information, and contribute to common PLE methods, templates, and governance across regions.

Qualifications

Education 教育程度

• Bachelor's degree and above in Optics/Opto-Electrics, Mechatronics, Electronic Engineering, Automobile engineering, or a related field.

Professional Experience & skills 工作经验及技能

• At least 3 years’ working experience in camera relevant industry (or comparable experience), ADAS system experiecne is plus
• Good knowledge of camera lens, sensor, ISP Image processing software, Serializer. Can define one camera product in system level quickly. And Familar with Camera manufacturing process.
• Familiar with the camera spec of mainstream ADAS system provider, and have good network with computer vision, image sensoe and lens ecosystem
• Strong business mindset
• Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
• Excellent communication and interpersonal skills to collaborate effectively across teams.
• Good speaking English and able to with global team smoothly

Additional Information

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