Senior Engineer, System Engineering (AI/ML) Full-time

Company:
Qualcomm Technologies, Inc.

Job Area:
Engineering Group, Engineering Group > Systems Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.

As a Qualcomm Systems Engineer, you will research, design, develop, optimize, and validate systems-level software, hardware, architecture, algorithms, and machine learning solutions that enables the development of cutting-edge technology, specifically in the AI/ML field.

Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm high-performance AI inference accelerators for cloud, edge and hybrid AI applications.

https://www.qualcomm.com/products/technology/processors/cloud-artificial-intelligence/cloud-ai-100

https://github.com/quic/cloud-ai-sdk

Minimum Qualifications:
• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master’s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

Required Skills:

• 2+ years of experience with Python, C++
• 2+ years of experience with PyTorch, TensorFlow or other ML framework
• 2+ years of experience in ML development, deployment and applications

Preferred Qualifications:

• Master’s or PhD Degree in Engineering, Information Systems, Computer Science, Physics or related field
• 4+ years of Systems Engineering or related work experience
• 2+ years of Machine Learning systems based on CV, NLP and LLM architectures
• Familiarity with architectural patterns for large-scale software applications
• Experience with MLOps for AI application development and deployments
• Experience with automation tools like GitOps, containerization technologies (Docker, Kubernetes), ML lifecycle management tools is a plus
• Working knowledge of Rust is a plus
• Experience with fine-tuning GenAI models and Reinforcement Learning is a plus
• Problem solution experience and customer focus
• 2+ years of experience working in a large matrixed organization

Principal Duties and Responsibilities:

• Develop AI/ML solutions that bring together Qualcomm AI hardware products, technologies, software, and ecosystem and provide best-in-class AI inference performance, power efficiency and scalability
• Assist in the design, development, and implementation of Gen AI and LLM applications
• Contribute towards implementing fine tuning and distillation techniques
• Apply Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and AI solutions while ensuring system-level requirements and standards are met
• Perform ML model benchmarking and functional analysis to drive requirements and specifications
• Support customer engagement with AI model/workload optimization and deployment
• Build ML systems/solutions and develop and analyzes system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system
• Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems
• Keep abreast with the latest advancements in the AI/ML space (models, HW/SW) and drive innovative solutions.
• Develops new and innovative ideas for a product or feature area.
• Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.

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).

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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:
$111,300.00 – $166,900.00

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.