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- Tasks: Tune Apple camera systems for top-notch image quality and user experience.
- Company: Join a cutting-edge tech company pushing the boundaries of hardware and software.
- Benefits: Enjoy a collaborative environment with opportunities for growth and innovation.
- Why this job: Be part of a dynamic team working on exciting technologies like Deep Fusion and HDR.
- Qualifications: 2+ years in image quality testing; skills in C, C++, or Python preferred.
- Other info: Ideal for photography enthusiasts with a passion for technology and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Cambridge, England, United Kingdom Software and Services
Description
Our products have a considerable complexity and rich feature set that push our hardware and software to the edge. We are looking for a great teammate who will be responsible for the image quality tuning of Apple camera systems. This role requires an understanding of different ISP and framework components and their impact on image quality, a clear vision of what constitutes a phenomenal camera, and a strong dedication to drive features into a better camera user experience. You will contribute directly to a variety of cutting-edge technologies, such as Deep Fusion, HDR, Portrait mode, and various algorithm development. You will participate in quality evaluations for new features and algorithms through experimental studies, and provide direct feedback to the engineering teams. In this role, you\’ll be a critical part of a fast-paced, collaborative team who thrive in a high-energy, time-constrained, multitasking environment.
Minimum Qualifications
- Minimum of 2 years of experience as an image quality testing, tuning, or image processing algorithms engineer.
- Understanding and hands-on experience of 3A, de-noising, fusion, tone-mapping algorithms.
- Experience in research, design, and development of automation and tools, metrics, and methodologies to improve camera tuning processes.
- Experience in at least one of the following: C, C++, Objective-C, Swift, Python, or shell programming.
Preferred Qualifications
- Excellent written and verbal communication skills. Experience in cross-functional collaboration.
- Some understanding of machine learning and image processing technologies.
- Excellent sense of photography, videography, cinematography.
- Experience with software and hardware on consumer devices and cell phone cameras is a plus.
- Experience with iOS / macOS app development is a plus.
- Working knowledge or research of human vision and psychophysics is a plus.
- Strong track record in cross-functional collaboration and communications.
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Camera Tuning Engineer employer: Apple Inc.
Contact Detail:
Apple Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Camera Tuning Engineer
✨Tip Number 1
Familiarise yourself with the latest camera technologies and features, especially those related to Apple products. Understanding innovations like Deep Fusion and HDR will not only enhance your knowledge but also show your passion for the role during discussions.
✨Tip Number 2
Engage with online communities or forums focused on image processing and camera tuning. Networking with professionals in the field can provide insights into industry trends and may even lead to referrals for positions at StudySmarter.
✨Tip Number 3
Consider creating a portfolio showcasing your previous work in image quality testing or algorithm development. This tangible evidence of your skills can set you apart from other candidates and demonstrate your hands-on experience.
✨Tip Number 4
Prepare to discuss your experience with cross-functional collaboration. Be ready to share specific examples of how you've worked with different teams to achieve common goals, as this is crucial for the collaborative environment at StudySmarter.
We think you need these skills to ace Camera Tuning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in image quality testing, tuning, and image processing algorithms. Emphasise any hands-on experience with 3A, de-noising, and fusion algorithms, as well as your programming skills in C, C++, Objective-C, Swift, Python, or shell.
Craft a Compelling Cover Letter: In your cover letter, express your passion for camera technology and your understanding of what makes a phenomenal camera. Mention specific projects or experiences that demonstrate your ability to improve camera user experience and your collaborative skills.
Showcase Relevant Projects: If you have worked on any projects related to camera tuning or image processing, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved to illustrate your expertise.
Highlight Communication Skills: Since excellent communication is crucial for this role, provide examples of how you've successfully collaborated with cross-functional teams in the past. This could include specific instances where your communication skills led to successful project outcomes.
How to prepare for a job interview at Apple Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with image quality testing and tuning. Highlight specific projects where you applied algorithms like 3A, de-noising, or tone-mapping, and be ready to explain the impact of your work on image quality.
✨Demonstrate Your Understanding of Camera Systems
Familiarise yourself with the latest camera technologies and features such as Deep Fusion and HDR. During the interview, express your vision of what makes a phenomenal camera and how you can contribute to enhancing user experience.
✨Prepare for Cross-Functional Collaboration
Since this role involves working closely with engineering teams, be ready to discuss your experience in cross-functional collaboration. Share examples of how you've effectively communicated technical concepts to non-technical team members.
✨Exhibit Your Passion for Photography
Your sense of photography and videography can set you apart. Bring examples of your work or discuss your favourite techniques and how they relate to camera tuning. This will show your genuine interest in the field and your understanding of user needs.
