Senior Systems Engineer, Data Center AI

What you'll do

• Develop and optimize AI/ML solutions for inference performance, power efficiency, and scalability across Qualcomm hardware and software.
• Design, deploy, fine-tune, and evaluate Gen AI and LLM applications, including benchmarking models and optimizing workloads for deployment.
• Research, design, and validate system-level software, hardware, architecture, and algorithms; troubleshoot system-level issues and verify AI system features.

What they ask for

• 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 those fields and 1+ year of related experience; OR PhD in those fields.
• 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.

Nice to have

• Experience with fine-tuning GenAI models and Reinforcement Learning.
• Background in compiler optimizations for ML workloads.

Pay

$117,800.00 - $176,600.00 USD base salary

Tools

Python, PyTorch, TensorFlow, Git, Gerrit, GitHub, GitLab, Docker

AI focus

Develops and deploys AI/ML solutions for data center inference, including Gen AI and LLM applications, fine-tuning and distillation, model benchmarking, and workload optimization.