Computer Engineering Entry Level Jobs in California

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 this position, you will be responsible for assisting with the software design and development of the Qualcomm AI Stack features within Qualcomm AI Runtime (QAIRT) SDK, specifically Core software including Generative AI Inference Extensions (Genie). You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures. You will also be responsible for supporting AI stack that optimizes runtime efficiency, latency and power consumption of AI applications running Machine Learning workloads on Qualcomm's low-power AI accelerators.
You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.
Minimum Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
Responsibilities

• Develop software for the Qualcomm AI Stack SDKs, specifically QAIRT and Genie, to support the execution of the latest generative AI models on Snapdragon platforms.

• Design and implement core components of Qualcomm AI Stack runtime framework for inference on resource constrained AI systems, operating in low power, small memory footprint platforms

• Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases.

• Debug complex issues, perform root cause analysis, and ensure high system reliability

• Collaborate with cross-functional teams to deliver robust, scalable AI software solutions.

• Assist in feature development and application of machine learning techniques into products and AI solutions, enabling customers to do the same.

• Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.

• Participate in design and code reviews.

• Work independently with minimal supervision.

Minimum Qualifications (Must Have)

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

• Projects or Internships experience (Entry level) / 2+ years (Senior) of general software development experience.

• Proficiency in software development using C/C++.

• Experience with development in a Linux environment.

• Strong software development skills, including data structure and algorithm design, object-oriented or other software design paradigms, software debugging, and testing.

• Excellent communication skills (verbal, presentation, and writing).

Preferred Qualifications (Desired)

• Master's degree in Computer Science, Computer Engineering, or Electrical Engineering.

• 1+ years of experience building embedded software applications.

• 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 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 using/integrating Qualcomm AI Stack products (e.g. QNN, Genie).

• 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 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).
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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:
$140,800.00 - $211,200.00
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.