Systems Engineer
1 week ago
As a Senior Systems Engineer at Qualcomm Technologies, you will play a key role in researching, designing, developing, and optimizing systems-level software, hardware, architecture, algorithms, and machine learning solutions that enable the development of cutting-edge technology in the AI/ML field.
This is an exciting opportunity to collaborate with cross-functional teams to meet and exceed system-level requirements and standards. You will have the chance 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.
Key Responsibilities:
- Develop AI/ML solutions that bring together Qualcomm AI hardware products, technologies, software, and ecosystem to provide best-in-class AI inference performance, power efficiency, and scalability.
- Apply systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and machine learning solutions while ensuring system-level requirements and standards are met.
- Support customer engagement with AI model/workload optimization and deployment.
- Perform ML model benchmarking and functional analysis to drive requirements and specifications.
- Build ML systems/solutions and develop and analyze system-level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system.
- Collaborate 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.
- Develop new and innovative ideas (e.g. IDFs) for a product or feature area.
- Drive triage of problems at the system level to determine root cause and present results of testing and debugging to team members.
Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
- 2+ years with Python and C/C++.
- 2+ years with PyTorch, TensorFlow, or other ML framework.
- 2+ years of 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.
- Experience with MLOps, especially for GenAI applications.
- Problem solution experience and customer focus.
- 2+ years of experience working in a large matrixed organization.
- 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Sr. Staff level and above).
Equal Employment Opportunity: 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.
Pay Range and Other Compensation & Benefits: $90,400.00 - $135,600.00
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. 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. In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.
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