Machine Learning Systems Engineer, Staff - XR Labs

San Diego, CA, US • Posted 2 days ago • Updated 6 hours ago
Full Time
On-site
USD $158,400.00 - 237,600.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Computer Vision
  • Audiovisual
  • Systems Design
  • Art
  • Algorithms
  • Migration
  • IT Management
  • Prototyping
  • Concurrent Computing
  • Network
  • Communication
  • Use Cases
  • Deep Learning
  • PyTorch
  • TensorFlow
  • Machine Learning (ML)
  • Video
  • Python
  • Optimization
  • Testing
  • Debugging
  • C++
  • OOD
  • Real-time
  • Computer Graphics
  • Research
  • Artificial Intelligence
  • Embedded Systems
  • Augmented Reality
  • Virtual Reality
  • Smartphones
  • Robotics
  • Immigration
  • Mentorship
  • Training
  • Computer Science
  • Information Systems
  • Computer Hardware
  • Software Engineering
  • Systems Engineering
  • Recruiting
  • Policies and Procedures
  • Law
  • Sales

Summary

Company:
Qualcomm Technologies, Inc.

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

General Summary:

Qualcomm XR Labs in San Diego is expanding our perception team focusing on Smartglasses and XR (AR/VR/MR) solutions and driving low-power SoCs for personal AI and XR devices. We develop integrated, multi-modal DL systems to deliver ultra-optimized, power-efficient software and hardware to enable the intelligent perception of the world around us.

Candidates bring a deep understanding of engineering pipelines and solutions of computer vision and machine learning algorithms and technologies that are necessary for interactive, real-time, and immersive systems, including state-of-the-art Multimodal Deep-learning methods combining Audio, Video, User Interaction & Personalization. They preferably have experience in systems design and implementations for real-time embedded and mobile platforms.

Job description / responsibilities

As an individual contributor you will have the following responsibilities.

  • Quickly understand latest academic and state-of-the-art algorithms on Multimodal LLMs, VLMs and related systems, prototyping on desktop and migrating to Qualcomm SoCs.

  • Technical leadership in designing, prototyping, and optimizing systems for Smartglasses and XR devices.

  • Understand Smartglasses and XR use-cases and concurrency constraints to drive multi-modal network architectures for combined processing to achieve minimal power consumption.

  • Communication with use-case stakeholders, customers, tech teams, and HW design teams to ensure optimal architectures for low-power features.

Key Experience Areas

  • Hands-on development of deep learning models (PyTorch/TensorFlow) and practical ML pipelines.

  • Hands-on experience with Multimodal LLMs and VLM systems, including data curation, training, deployment, and optimization.

  • Experience in Multimodal ML including Audio, Speech, Video, User Input, and Personalization.

  • Strong coding skills in Python and C++ for production and on-device implementation.

  • Experience with on-device optimization (quantization, acceleration, profiling) on mobile or embedded platforms.

Preferred Experience

  • Experience with Smartglasses and Augmented/Virtual Reality devices and applications

  • Experience in development, incl. testing and debugging on XR devices, mobile platforms or other embedded systems

  • Strong C++ skills with solid object-oriented design principles

  • Real-time computer graphics

What we offer

  • Be part of a world-class Smart Glasses & XR team researching and developing Personal AI and Augmented Reality devices.

  • Understand and analyze requirements for perception systems for XR platforms

  • See your contributions on industry-leading chips embedded in the next generation of Smart Glasses, AR and VR devices, smartphones, and robotics

  • Salary, stock and performance related bonus

  • Employee Stock Purchase Program

  • Relocation and immigration support (if needed)

  • Mentor program for intensive induction and further training opportunities

Minimum Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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:
$158,400.00 - $237,600.00

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.
  • Dice Id: RTX171842
  • Position Id: 31da69dc097b7aa5332241289e8679b8
  • Posted 2 days ago
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