Staff Engineer, Machine Learning Engineering

1 Month ago • 2-4 Years • Research Development • $158,400 PA - $237,600 PA

Job Summary

Job Description

As a Staff Engineer, Machine Learning Engineering, you will be part of a multi-disciplinary team focusing on advancing Generative AI Technology for the Edge. You will architect, design, develop, test, and deploy on- and off-device frameworks to enable optimization. You will be working in a dynamic research environment with cutting edge AI frameworks and tools. You will be responsible for building LLM stacks to solve real-world problems. The role involves collaborating with teams across time zones and contributing to a high-quality software delivery process.
Must have:
  • Strong background in AI and ML techniques
  • Experience in evaluating and optimizing Generative AI workflows
  • Experience in building LLM stacks
  • Strong Python and modern C++ skills
  • Experience with Machine Learning training frameworks (PyTorch)
  • Experience with software delivery process
  • Strong Linux command line skills
  • Strong analytical and debugging skills
  • Experience working in agile environments
  • Experience collaborating with multi-disciplinary teams
  • Strong team player and communicator
Good to have:
  • Experience developing software for heterogeneous platforms with OpenCL
  • Experience developing solutions that target a variety of hardware (CPU, GPU, NSP...)
  • Experience with model quantization, profiling, and running models on edge devices
  • Experience developing SDKs/libraries targeting multiple platforms
  • Experience with Docker and Git
Perks:
  • Competitive annual discretionary bonus program
  • Opportunity for annual RSU grants
  • Highly competitive benefits package

Job Details


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, 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- and off-device frameworks enabling optimization.

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.

Must have experience and skills:

  • Strong theoretical background in AI and general ML techniques
  • Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics
  • Proven hands-on experience building LLM stacks to solve real-world problems
  • Strong Python and modern C++ design and implementation skills.
  • Strong command of Machine Learning training frameworks (i.e. PyTorch )
  • Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.)
  • Strong Linux command line skills.
  • Strong general analytical and debugging skills.
  • Prior experience working in agile environments.
  • Prior experience in collaborating with multi-disciplinary teams across time zones.
  • Strong team player, communicator, presenter, mentor, and teacher.

Preferred extra experience and skills:

  • Hands-on experience developing software for heterogenous platforms with OpenCL.
  • Experience developing solutions that target a variety of hardware ( CPU, GPU, NSP …) along with their respective SW development environments.
  • Prior experience with model quantization, profiling and running models on edge devices.
  • Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows)
  • Previous experience with Docker and Git.

Preferred qualifications:

  • Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related.

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).

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.

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About The Company

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

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