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Senior Staff/Staff Engineer/Senior Lead - Camera Image Quality
Hyderabad, Telangana, India
·
On-site
·
Full-time
·
1mo ago
Company:
Qualcomm India Private Limited:
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
The Camera Image Quality Engineer will be responsible for the design and development of image quality evaluation systems to measure Image Quality (IQ) metrics for Mobile, Automotive, IoT, XR, and Compute Cameras. The role involves both objective and subjective IQ evaluations, including aspects such as color, white balance, texture, noise, details, bokeh, tone/exposure, resolution, and subjective artifacts.
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Design and development of camera image processing pipeline for Mobile/Automotive/XR /AR/Compute use cases
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Implementing algorithms on the target hardware and provide optimization to meet requirements in terms of Image quality , power, latency
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Evaluating ISP hardware and software modules, finding the best-optimized tuning interfaces
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Deeper investigation into existing modules and coming up with interfaces that could simplify the tuning.
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Identify and improve existing algorithms for better user experience
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Image Quality metric development for mobile/XR/AR devices.
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Strong understanding of Camera fundamentals, 3A Algorithms, ISP modules, Optics, and Color Science.
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3A + ISP image quality tuning to achieve desired Image Quality.
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Debugging and troubleshooting existing software and Image Quality issues.
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Partnering with global development teams and external customers
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Development of Computer Vision ( CV ) and Machine Learning (ML) features
Minimum Qualifications:
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6 -15 years of experience in multimedia/embedded technologies
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Solid knowledge of Digital/image processing.
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Working experience with image processing algorithms. Background in color science and image signal processor pipelines is a plus.
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Working experience in Image or Video Quality metrics development, Algorithm optimizations.
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Knowledge/working experience in computer vision algorithms
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Exposure or working experience in Camera, Video or Multimedia accelerators
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Background in machine learning and working experience with machine learning framework/packages (e.g, Tensor Flow, Keras, Py Torch etc.)
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Experienced working with real time/embedded systems is a plus
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Experienced in development of driver and frameworks for multimedia systems including camera, audio, video, display and graphics is a plus
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Programming skills in C/C++, MATLAB, Python
Preferred Qualifications:
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Strong knowledge of and experience in Camera Image Quality tuning.
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Experience in Linux camera sensor driver bring-up.
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Knowledge/Experience of 3A algorithms and Image Signal Processor (Camera Hardware) tuning experience.
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Experience with Objective Image Quality evaluation metric using tools like IMATEST, IQ Analyzer, etc. is a plus.
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Experience working in an Imaging Lab with various Test charts and lighting setups.
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Working experience with image/camera/Signal processing algorithms.
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Working experience with Android/Linux Camera/Embedded systems.
Education Requirements:
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Required: Bachelor degree in Computer Engineering, Computer Science, or Electrical Engineering.
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Preferred: Master degree/PhD in Computer Engineering, Computer Science, or Electrical Engineering /Electronics.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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About Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
Employees
San Diego
Headquarters
Reviews
3.6
5 reviews
Work Life Balance
4.0
Compensation
4.0
Culture
2.5
Career
3.0
Management
2.5
Pros
Good work-life balance
Real engineering work with technical challenges
Good compensation
Cons
Slow processes and bureaucracy
Poor management and planning
Cross-team dependencies and alignment issues
Salary Ranges
1 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$215,000
total / year
Base
$170,000
Stock
$30,000
Bonus
$15,000
$182,750
$247,250
Interview Experience
8 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview/Onsite
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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