Job description

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Multimedia Systems General Summary: Sensors-based technology has a wide range of applications including navigation, gaming, smart user interface, multimedia, virtual reality , and augmented reality. This challenging position offers the opportunity to work with leading edge sensor technologies embedded in smartphones, automotive, IOT, smartwatches as well as other consumer electronics devices. Job activities span the whole product life cycle from early R&D to commercial deployment. The successful candidate will work with systems, software, and integration/test engineers in the QCT sensors group . The successful candidate will work on the development of software tools and user interfaces that support sensor technology research, development, and validation of workflows. The role involves designing intuitive and robust software interfaces, managing application state, and integrating frontend components with backend data processing services. The candidate will work with systems, software, and integration and test engineers in the QCT Sensors team, and will have the opportunity to contribute across a broad range of software and systems engineering activities. Job responsibilities include: • Implement sensor signal processing and machine learning algorithms across various embedded SOCs. • Debug, verify, optimize, and tune C code for MATLAB/Python signal processing and machine learning algorithms. Critical to this role is: • proficiency in C , Python and MATLAB • the a bility to implement MATLAB-coded algorithms in C • familiarity with RTOS and m ulti-threaded programming environment s . • DSP fixed point algorithm implementations and quantization for ML models. • Balance engineering considerations such as performance, memory, power, and complexity. • Assist other development and testing teams with algorithm deployment. • Architecting and implementing software frameworks and tools following established software design patterns including Model-View-Controller, event-driven programming, and component-based architectures on a variety of platforms • Prototype on reference hardware platforms. • Document implementation flows and SW architecture design . Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. Preferred Qualifications: • At least 4 years of embedded software development, with experience in implementing digital signal processing, machine learning algorithms in C/C++ . • Hands-on experience on ML frameworks such as PyTorch and TensorFlow , • Experience with fixed point implementation and the use of quantization for ML models. • An understanding of the operation of accelerometers, gyroscopes, magnetometers, etc. • Detail oriented, taking a thorough and analytical approach, producing complete documentation. • Excellent written, verbal, and presentation skills. 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 : $167,000.00 - $250,600.00 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 .

Requirements

Must-haves

Qualcomm Technologies, Inc.
Engineering Group, Engineering Group > Multimedia Systems
Implement sensor signal processing and machine learning algorithms across various embedded SOCs.
Debug, verify, optimize, and tune C code for MATLAB/Python signal processing and machine learning algorithms. Critical to this role is:
proficiency in C , Python and MATLAB
the a bility to implement MATLAB-coded algorithms in C
familiarity with RTOS and m ulti-threaded programming environment s .
DSP fixed point algorithm implementations and quantization for ML models.
Balance engineering considerations such as performance, memory, power, and complexity.
Assist other development and testing teams with algorithm deployment.
Prototype on reference hardware platforms.
Document implementation flows and SW architecture design .
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
At least 4 years of embedded software development, with experience in implementing digital signal processing, machine learning algorithms in C/C++ .

Nice-to-haves

Hands-on experience on ML frameworks such as PyTorch and TensorFlow ,
Experience with fixed point implementation and the use of quantization for ML models.
An understanding of the operation of accelerometers, gyroscopes, magnetometers, etc.
Detail oriented, taking a thorough and analytical approach, producing complete documentation.
Excellent written, verbal, and presentation skills.
$167,000.00 - $250,600.00
If you would like more information about this role, please contact Qualcomm Careers .

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonmlrest

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