Senior Machine Learning Software Engineer

Nutanix; San Diego (CA); On-site; USD 141,000 - 211,000; Full time

Job summary

Qualcomm Technologies, Inc. in San Diego, CA, is seeking an engineer to design, implement and verify embedded software for ARM and other HW, enabling audio, camera, graphics, sensors, and wireless functionality across OSes.

You will optimize performance, integrate ML kernels, and collaborate with HW teams to ensure deliverables meet requirements on mobile, edge, auto and IoT devices.

Qualifications

• Master's degree in Electrical Engineering, Computer Engineering, CS or related field.
• Experience designing, implementing and verifying embedded software for ARM and DSP/GPU HW.
• Experience optimizing ML kernels and using ML frameworks on HW.

Responsibilities

• Design, implement and verify embedded software for ARM and other HW.
• Integrate, test and optimize performance of embedded subsystems.
• Develop ML kernels and tools to leverage hardware features.
• Collaborate with HW teams to co-develop solutions and verify deliverables.
• Optimize ML frameworks like TensorFlow or PyTorch on target hardware.

Skills

C

C++

Python

Embedded systems

ML

Education

Master's degree in Electrical Engineering or Computer Science

Tools

TensorFlow

PyTorch

Compiler tools

Job description

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:This individual independently plans, performs the moderately-defined responsibility for the designing, implementing and verification of software, typically C or C++ or Python, to enable audio, camera, graphics, video, sensors, wireless and other functionality for various operating systems running on ARM processors and other embedded HW like DSP processors, or GPU processors that are embedded into mobile, edge, auto and IOT products. Responsibilities include integration, testing and performance optimization for embedded software subsystems, as well as the implementation of new tools. Other responsibilities include developing optimized software, such as ML kernels or tools like compilers, to make use of specific HW features; and/or working closely with HW teams for joint design/development. This individual may need to work with and/or optimize ML software frameworks like TensorFlow or PyTorch to efficiently run ML algorithms on HW. Coordinates dependencies with other teams, developing tools to improve the process, and assisting with the verification of the deliverables. Acts as a strong contributor at design reviews and project meetings.Will accept a Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field.Pay Range: $140,800.00 - $211,200.00/yearApplicants : 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 [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.If you would like more information about this role, please contact Qualcomm Careers .