Datacenter AI Systems Engineer: GenAI & ML Solutions

Qualcomm; San Diego (CA); On-site; USD 111,300 - 166,900; Full time

Job summary

Qualcomm Technologies, Inc. engineering teams seek a Datacenter AI Systems Engineer to research, develop, optimize, and validate software, hardware, architecture, and ML solutions enabling cutting-edge AI datacenter tech.

You will collaborate across teams to meet system-level requirements and advance AI inference performance, power efficiency, and scalability in data center and hybrid AI workloads.

Qualifications

• Bachelor's degree + 2+ years Systems Engineering or related work experience.
• Master's degree + 1+ year of related work experience.
• PhD in Engineering, Information Systems, CS, or related field.

Responsibilities

• Develop AI/ML solutions integrating Qualcomm AI hardware, software and ecosystem for best-in-class inference.
• Assist design, development, implementation and deployment of Gen AI and LLM apps.
• Contribute to fine tuning and distillation techniques.
• Research, design, simulate and validate system-level software, AI hardware, DL algorithms and solutions.
• Benchmark AI models and drive requirements and specifications.
• Collaborate across teams to implement and test features and verify AI systems.

Skills

Python

PyTorch

TensorFlow

ML deployment

Performance profiling

Parallel computing

Education

Bachelor's degree in Engineering/CS/IS or related field

Master's degree in Engineering/CS/IS or related field

PhD in Engineering/CS or related field

Tools

Git

Gerrit

GitHub

GitLab

Docker

Kubernetes

Job description

Qualcomm Technologies, Inc. engineering teams seek a Datacenter AI Systems Engineer to research, develop, optimize, and validate software, hardware, architecture, and ML solutions enabling cutting-edge AI datacenter tech.

You will collaborate across teams to meet system-level requirements and advance AI inference performance, power efficiency, and scalability in data center and hybrid AI workloads.