Machine Learning Engineer - College Graduate

Latitude

San Diego, Northern (CA, KY)

Hybrid

USD 123,000 - 184,000

Full time

14 days+
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Job summary

Qualcomm Technologies, Inc. is seeking a skilled engineer to architect and build on-device AI software. You will work in a dynamic research environment with a multidisciplinary team, applying modern ML frameworks and software practices to deploy AI use cases on edge devices.

The role emphasizes strong Python and OO design, experience with PyTorch, and knowledge of GenAI tech, with opportunities to work on NPUs/accelerators and Android-related work.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • Strong Python and object-oriented SW design and implementation skills.
  • Knowledge of deep learning and ML frameworks (i.e. PyTorch).
  • Strong software design skills with a focus on usability.
  • Strong analytical, debugging and problem-solving skills.

Responsibilities

  • Architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases.
  • Collaborate with a multi-disciplinary team of researchers and software engineers working with state-of-the-art AI frameworks.
  • Apply modern software engineering best practices to enable on-device AI deployment.

Skills

Python
PyTorch
OO design
Analytical thinking
Debugging
Problem solving
GenAI knowledge
Neural network optimization
Android knowledge
C/C++

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

C/C++
Android programming
Embedded software

Job description

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge.

We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.

In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases.

The successful applicant should have a strong theoretical background and first hands-on experience with enabling on-device AI using modern software engineering best practices.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Must Have Experience And Skills
  • Strong Python and object-oriented SW design and implementation skills.
  • Knowledge of deep learning and ML frameworks ( i.e. PyTorch ).
  • Strong software design skills with a focus on usability.
  • Strong analytical, debugging and problem-solving skills.
Preferred Extra Experience And Skills
  • Knowledge of Generative AI ( GenAI ) technologies.
  • Knowledge of neural network model optimization and on-target deployment is a plus.
  • Knowledge of NPUs / ML accelerators.
  • Knowledge of Android programming is plus.
  • Optimization of algebraic operations in algorithms for HW cores is a plus.
  • Knowledge of C/C++ and embedded software.

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.

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.

Pay Range And Other Compensation & Benefits

$122,800.00 - $184,200.00

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.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Machine Learning Engineer - College Graduate
Machine Learning Engineer - College Graduate

Qualcomm • San Diego (CA)

On-site
USD 122,000 - 185,000
Competitive annual bonus
RSU grants
Comprehensive benefits package
Sr Engineer, Machine Learning Engineering (ML Apps)
Sr Engineer, Machine Learning Engineering (ML Apps)

Qualcomm • San Diego (CA)

On-site
USD 140,800 - 211,200
Competitive annual discretionary bonus
Annual RSU grants
Comprehensive benefits package
Machine Learning Engineer, Staff (Model Optimization)
Machine Learning Engineer, Staff (Model Optimization)

Qualcomm • San Diego (CA)

On-site
USD 158,000 - 238,000
Machine Learning Engineer, Staff (Model Optimization)
Machine Learning Engineer, Staff (Model Optimization)

Nutanix • San Diego (CA)

On-site
USD 158,000 - 238,000
Machine Learning Engineer, Staff (Model Optimization) San Diego, California, United States of America Machine Learning Engineering
Machine Learning Engineer, Staff (Model Optimization) San Diego, California, United States of America Machine Learning Engineering

Qualcomm • San Diego (CA)

On-site
USD 158,000 - 238,000
Sr Engineer, Machine Learning Engineering (ML Apps) San Diego, California, United States of Ame[...]
Sr Engineer, Machine Learning Engineering (ML Apps) San Diego, California, United States of Ame[...]

Qualcomm • San Diego (CA)

On-site
USD 140,000 - 212,000
Machine Learning Researcher
Machine Learning Researcher

Qualcomm • San Diego (CA)

On-site
USD 159,000 - 239,000
Entry Level & Senior Software Engineer, AI Software Platform (Onsite)
Entry Level & Senior Software Engineer, AI Software Platform (Onsite)

Qualcomm • San Diego (CA)

On-site
USD 141,000 - 211,000
Yearly bonus
RSU grants
Comprehensive benefits
Staff & Senior Staff Software Engineer, Core AI Software (Onsite)
Staff & Senior Staff Software Engineer, Core AI Software (Onsite)

Qualcomm • San Diego (CA)

On-site
USD 158,000 - 238,000
Competitive annual discretionary bonus
Annual RSU grants
Comprehensive benefits package
Senior Systems Engineer, Data Center AI
Senior Systems Engineer, Data Center AI

Qualcomm • San Diego (CA)

On-site
USD 111,000 - 167,000