Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
SW Engineer, Constrained AI Software
Job
Qualcomm
San Diego, CA (In Person)
$153,500 Salary, Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
View All Jobs SW Engineer, Constrained AI Software San Diego, California, United States of America Apply Now Add to Job Cart Find out how well you match with this job Upload your resume Job description Company and benefits Job
ID 3087924
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group >Machine Learning Engineering General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As a Qualcomm AI Software Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals. In the AI Software team, we build the Qualcomm AI Engine to enable OEMs and developers to run their Machine Learning workloads on Qualcomm's low-power AI accelerators in a Constrained Operating Environment. In this position, you will be responsible for assisting with the software design and development of the Qualcomm AI engine that enables OEMs and developers to run their Machine Learning workloads on Qualcomm's low-power AI accelerators. Your work will directly impact the runtime efficiency, latency, and power consumption of AI applications running on Qualcomm hardware deployed on cars, notebook computers, phones, and wearables. Come join us to work on bleeding edge AI technology.Responsibilities:
Design and implement core components of the ML runtime framework for inference on Constrained AI systems, operating in low power, small memory footprint platforms Develop and maintain C/C++ code for runtime kernels and system-level integration Development of model analyzing tools for internal and external customers Development and profiling of performance KPIs and footprint across AI workloads for platforms such as Android/Aluminum, Linux, QNX, Windows and future platforms Track and adopt leading 3rd party AI toolchains across Qualcomm AI platforms/SoCs Address issues found in existing and past Qualcomm AI products Debug customer machine learning use cases executing on Qualcomm AI Stack Communication across globally diverse team Participate in software quality process improvementsMinimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Preferred Qualifications:
Master's degree in Computer Science, Computer Engineering, or Electrical Engineering Familiarity with various generative AI model architectures such as LLMs. Strong understanding of hardware acceleration and deployment of generative AI inference at the connected edge. Experience with Hexagon DSP SDK or cross compiler toolchains for embedded systems Familiarity with TensorFlow, PyTorch or ONNX Experience using/integrating Qualcomm AI Stack products (e.g. QAIRT, QNN, Genie). Experience with development in various platforms such as Linux, Android, or Windows. Knowledge of low-level interactions between operating systems (e.g., Linux, Android, Windows) and hardware. Experience with CMake-based build environments. Experience with agile software development practices and git-based SCM. Ability to collaborate across a globally diverse team and manage multiple interests. 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 allStaffing 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 andOther Compensation & Benefits :
$122,800.00- $184,200.
- 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 . Insights from previous hires Years of experience 2-4 4-8 8+ Less than 2 years 2
- 4 years 4
- 8 years 8+ years Top skills Algorithms Android C (Programming Language) API C++ Architecture Agile Methodologies Previously worked at Previously worked as 1.
Multiple Leveling:
Sr. & Staff) San Diego, California, United States of America Machine Learning Engineering Posted 3 months ago Staff/Sr. Staff Software Engineer, AI Software Tools (Onsite) San Diego, California, United States of America Machine Learning Engineering Posted 16 days ago AI Software Platform Engineer Hsinchu City, Hsinchu City, Taiwan + 1 more Machine Learning Engineering Posted 5 months ago Staff AI Software Engineer (C++) Markham, Ontario, Canada Machine Learning Engineering Posted a month ago Engineer/ Senior Engineer- Modem Software Framework (5G & AI) San Diego, California, United States of America Modem Software Engineering Posted 15 days ago Staff Embedded Software Engineer
- Edge AI/GenAI & Multimedia San Diego, California, United States of America Software Engineering Posted 13 days ago AI/ML Platform Architect
- Engineer, Principal San Diego, California, United States of America Machine Learning Engineering Posted 3 months ago