Senior Systems Engineer, Data Center AI

QUALCOMM, Inc.; San Diego (CA); On-site; USD 118,000 - 177,000; Full time

Benefits offered by this job

Annual discretionary bonus

RSU grants

Competitive benefits package

Job summary

Qualcomm Technologies, Inc. seeks a Datacenter AI Systems Engineer to research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacenter technology.

Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards, delivering best-in-class AI inference accelerators for data center and hybrid AI applications.

Qualifications

• Bachelor's degree with 2+ years in Systems Engineering or related work.
• Master's or PhD preferred in a relevant field with experience.
• Strong ML/AI hardware and software integration background.

Responsibilities

• Develop AI/ML solutions that integrate Qualcomm AI hardware, software, and ecosystem.
• Assist design, development, deployment of Gen AI and LLM applications.
• Contribute to fine tuning and distillation techniques for models.
• Apply systems knowledge to research, design, validate AI systems and software.
• Benchmark AI models and analyze performance to drive requirements.
• Propose deployment strategies and workload optimization for AI models.
• Build and analyze system-level designs and interfaces for new or updated systems.
• Collaborate across teams to implement features and test AI systems.
• Stay updated on AI/ML advances and drive innovation.

Skills

Python

PyTorch

TensorFlow

System performance profiling

Parallel computing

GenAI architectures

AI model fine-tuning

Education

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

Master's degree in Engineering, Information Systems, Computer Science, or related field

PhD in Engineering, Information Systems, Computer Science, or related field

Tools

Git

Gerrit

GitHub

GitLab

Docker

Kubernetes

Job description

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Systems EngineeringGeneral 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 Datacenter AI Systems Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacenter technology.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 AI inference accelerators for data center, and hybrid AI applications.Minimum Qualifications:• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.ORPhD in Engineering, Information Systems, Computer Science, or related field.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 scalabilityAssist in the design, development, implementation and deployment of Gen AI and LLM applicationsContribute towards implementing fine tuning and distillation techniquesApply 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 metPerform AI model benchmarking and functional analysis to drive requirements and specificationsPropose deployment strategies with AI model/workload optimization and deploymentBuild AI 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 systemCollaborate with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of AI systemsKeep 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 areaDrives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.Required Skills:Strong proficiency in Python, and ML frameworks (PyTorch, TensorFlow).Deep understanding of ML development, deployment and applications.Deep understanding of system performance profiling and parallel computing.Preferred Qualifications:Master's or PhD Degree in Engineering, Information Systems, Computer Science, Physics or related fieldGood understanding of GenAI architectures from transformers, diffusion, hybrid - LLMs, LVMs, embeddingsWorking experience with fine-tuning GenAI models and Reinforcement LearningBackground in compiler optimizations for ML workloads is a plusExperience with architectural Patterns for Large-Scale AI Systems: Knowledge of microservices, and distributed systemsOptimize inference performance across heterogenous nodes CPUs, GPUs, and specialized acceleratorsExperience in implementing caching, batching, and parallelization strategies for high-throughput systems.Familiarity with hardware accelerationProficiency with version control systems (Git) and code review tools (Gerrit, GitHub, GitLab) and collaborative development workflowsWell versed with open-source development practicesUnderstanding of MLOps for AI application development and deployments is a plusExperience with automation tools like GitOps, containerization technologies (Docker, Kubernetes), ML lifecycle management tools is a plusExperience with rack-level orchestration tools and data center automation is a plusExperience working in a large matrixed organizationQualcomm 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.Pay range and Other Compensation & Benefits :$117,800.00 - $176,600.00The 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 .