Camera Systems Modelling Engineer, Senior/Lead

Qualcomm Incorporated; Dadri; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Qualcomm India Private Limited seeks experienced system engineers for embedded camera and imaging solutions, including image signal processor (ISP) development and image processing algorithms. You will join a systems and R&D team delivering high-performance multimedia capabilities with low power consumption.

Responsibilities include developing fixed-point implementations and C/C++ models for image processing modules, supporting HW verification and SW development via behavioral vectors, and

Qualifications

• Bachelor's + 3 years in Electrical or Computer Engineering or related field.
• Experience in algorithm design and fixed-point implementation.
• Strong knowledge of data structures and C/C++ programming.
• Unix/Win/Linux familiarity.

Responsibilities

• Develop fixed-point implementations and C/C++ models for the image processing and associated infrastructure modules (to be ported in HW)
• Supporting HW verification & SW development via behavioral model test vectors
• Image/Video processing algorithm complexity optimization and quality trade-offs

Skills

C/C++ programming

Data structures

Unix/Linux

Fixed-point arithmetic

Image processing algorithms

Python

Education

Bachelor's in Computer Science or Electrical & Computer Engineering

Master's in Computer Science or Electrical & Computer Engineering

Job description

Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Systems Engineering

General Summary

Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices.

We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and

enabling advanced multimedia capabilities. Join Qualcomm India and become part of the growing multimedia systems

team that innovates to bring the higher performance on mobile multimedia capabilities at the lowest power consumption and device cost,

while providing the strongest feature differentiation.

We are seeking experienced system engineers for our cutting-edge efforts in areas related to image processing and computer vision.

Successful candidates will be part of a systems and R&D team that develops embedded camera and imaging solutions,

image signal processor (ISP) as well as advanced algorithms for image processing.

Responsibilities

The job responsibilities may include a subset of the following:

• Developing fixed-point implementations and C/C++ models for the image processing and associated infrastructure modules (to be ported in HW)
• Supporting HW verification & SW development via behavioral model test vectors
• Image/Video processing algorithm complexity optimization and quality trade-offs

Minimum qualifications

• Bachelors + 3yrs relevant experience, Master's + 2yrs relevant experience in Electrical Engineering, Computer Science, and/or closely related field
• Working experience in algorithm design and fixed-point implementation.
• Strong knowledge in data structures and working experience with C/C++ programming
• Familiarity with UNIX/Win/Linux computing platforms

Preferred qualifications

• Background in digital signal processing, statistics and data analysis
• Working experience with image processing algorithms. Background in colour science and image signal processor pipelines is a plus.
• Programming skills MATLAB, Python

Educational requirements

• Required: Bachelor’s in Computer science or Electrical & Computer Engineering
• Preferred: Master’s in Computer science or Electrical & Computer Engineering

Primary Location

Noida

Secondary Location

Bengaluru

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
• OR
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
• OR
• PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

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