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Qualcomm Senior Machine Learning Firmware Engineer in Austin, Texas

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > DSP Architecture and Design

General Summary:

Qualcomm is a global leader in wireless technology and semiconductor solutions. Our Neural Signal Processor is at the forefront of cutting-edge AI research, and we’re looking for a talented engineer to join our team.

We are looking for an experienced software engineer with a deep knowledge of advanced C++. You will play a crucial role in developing the machine learning compiler and runtime firmware for Qualcomm’s best-in-class accelerator, as well as contributing to the development of virtual prototypes used to test this firmware before actual products are available. You’ll work closely with a geographically distributed team to develop new features at the cutting edge of on-device machine learning execution.

Responsibilities:

  • Collaborate with software architects and machine learning researchers to design and implement new features for the machine learning compiler and runtime firmware.

  • Optimize code for performance, memory usage, and power efficiency.

  • Debug and troubleshoot issues related to the runtime firmware.

  • Contribute to the development of a modern C++ project which uses extensive template metaprogramming techniques.

  • Contribute to the development of virtual prototypes to enable the testing of new Neural Signal Processing hardware features.

  • Work independently and in a self-directed manner, while also collaborating effectively with remote team members.

Qualifications:

  • At least 5 years of experience in software development

  • Strong knowledge of advanced C++ (C++17 or later), including concurrent programming and template metaprogramming.

  • Experience developing for embedded systems.

  • Experience with virtual prototype frameworks such as QEMU or SystemC

  • Excellent problem-solving skills and ability to work in a fast-paced environment.

  • Strong communication skills for collaborating with remote team members.

  • Knowledge of machine learning frameworks and compiler development is a plus.

Why Join Us:

  • Be part of a dynamic team working on cutting-edge AI technology.

  • Opportunity to contribute to the future of a key growth area for one of the world's largest semiconductor companies.

  • Competitive compensation and benefits package.

  • Flexible hybrid work arrangements.

Minimum Qualifications:

• Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 6+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.

OR

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

OR

PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.

• 2+ years of experience with high-performance microprocessor design.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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:

$174,000.00 - $261,000.00

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!

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

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

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