Senior Systems Engineer, Data Center AI
Core
Research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions for cutting-edge AI datacenter technology and hybrid AI applications.
Role type
Senior Systems Engineer (Data Center AI)
Builds
Best-in-class Qualcomm AI inference accelerators for data center and hybrid AI applications
Domain
Data Center AI / Machine Learning / Hardware-Software Co-design
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, ML development and deployment, system performance profiling, parallel computing
Preferred skills
GenAI architectures (transformers, diffusion, LLMs, LVMs), fine-tuning and distillation, Reinforcement Learning, compiler optimizations for ML, microservices and distributed systems, heterogeneous node optimization (CPU/GPU/accelerators), caching and batching strategies, hardware acceleration, MLOps, containerization (Docker, Kubernetes), data center automation
Technologies
PyTorch, TensorFlow, Docker, Kubernetes, Git, Gerrit, GitHub, GitLab
Responsibilities
Develop AI/ML solutions integrating Qualcomm AI hardware, software, and ecosystem; Assist in design and deployment of Gen AI and LLM applications; Implement fine-tuning and distillation techniques; Research, design, and validate systems-level software, AI hardware, and deep learning algorithms; Perform AI model benchmarking and functional analysis; Propose deployment strategies with model/workload optimization; Build AI solutions and develop system-level design including requirements and interface definition; Collaborate on project work, testing, and verification; Drive triage of system-level problems to determine root cause.
Seniority
Senior, hands-on IC
