Computer Vision Engineer

Overview

On Site
USD 159,100.00 - 238,700.00 per year
Full Time

Skills

Embedded Systems
Smartphones
IoT
Analytical Skill
Systems Architecture
Android
Microsoft Windows
Linux
Research
Artificial Intelligence
Research and Development
Multimedia
LVM
Video
Semantics
Analytics
Biometrics
Generative Artificial Intelligence (AI)
3D Computer Graphics
Editing
PyTorch
TensorFlow
Software Development
Digital Signal Processing
Computer Graphics
Mathematics
C
Python
C++
Object-Oriented Programming
Transformer
Deep Learning
Data Compression
Communication
Computer Vision
Algorithms
Computer Hardware
Software Engineering
Systems Engineering
Computer Engineering
Computer Science
Electrical Engineering
Machine Learning (ML)
Recruiting
Policies and Procedures
Law
Sales

Job Details

Company:
Qualcomm Technologies, Inc.

Job Area:
Engineering Group, Engineering Group > Machine Learning Researcher

General Summary:

Qualcomm's Multimedia R&D computer vision Group is seeking passionate candidates with expertise in Computer Vision and Computer Graphics. The team is developing advanced AI and deep learning algorithms, architectures, and systems for multimedia applications enriching the embedded systems for Smartphone, IOT, Compute and Extended Reality.

The candidate should have a deep understanding in digital signal processing, and data-driven approaches in computer vision or computer graphics, exhibiting excellent analytical and algorithm development skills and proficiency in Python and C/C++ programming. The selected candidate will have responsibilities in the following areas:

  • System architecture design and development of computer vision applications on Android/windows/Linux platforms. Research and develop efficient deep learning architectures and models for AI-enabled camera, video analytics, biometrics, and extended reality.
  • Research and development of multimedia applications by generative AI, including LLM, VLM, LVM, and other multi-modal models.
  • This includes but not limited to video semantic analytics, human face and body 3D analysis, biometrics with forgery detection, face and body synthesis and editing with GenAI, and 3D body/face reconstruction/editing from 2D images.

Must have Qualifications
  • Master's or PhD degree in Electrical Engineering, Computer Science, and/or closely related field.
  • 3+ years of professional experience in computer deep learning software development for applications like Computer Vision or Computer Graphics.
  • 2+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks.
  • Solid Background in software development, digital signal processing, computer vision or computer graphics.
  • Solid background in machine/deep learning fundamental knowledges and mathematics.
  • Proficiency in C/C++ and Python programming.

Preferred Qualifications
  • Excellent knowledge of C++ and object-oriented programming, capability to design and implement robust, high-performance, and flexible system software.
  • Expertise in various networks architectures such as VAE, GAN, diffusion, transformer, Gaussian Splatting, NeRF, U-Nets, and ResNets models.
  • Experience of deep learning model pruning, compression, and quantization for executing on edge device without performance decreasing.
  • Excellent written and verbal communication skills.
  • Track record of driving ideas from design through commercialization.
  • Experience in computer vision algorithm design development and integrating machine learning algorithm into camera systems.
  • Self-motivated and strong desire to learn new technologies, design novel techniques and propose them for technology commercialization.
  • Team Player.

Minimum Qualifications:
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.

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 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).

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.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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.

Pay range and Other Compensation & Benefits:
$159,100.00 - $238,700.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.