Qualcomm
Senior Systems Engineer, Data Center AI
$118K–$177K
San Diego, California · On-site · Senior · Full-time · Posted Oct 8, 2026
- Experience
- Bachelor's degree plus 2+ years of Systems Engineering or related work experience; or master's degree plus 1+ year; or PhD.
- Education
- Bachelor's, master's, or PhD in Engineering, Information Systems, Computer Science, or related field.
About the job
Researches, develops, optimizes, and validates systems and AI solutions for Qualcomm data center inference accelerators and hybrid AI applications.
What you'll do
- Develop and optimize AI/ML solutions for inference performance, power efficiency, and scalability; benchmark models and propose deployment strategies.
- Design, implement, and deploy Gen AI and LLM applications, including fine-tuning and distillation techniques.
- Research, develop, simulate, and validate system-level software, hardware, architecture, and algorithms; troubleshoot system-level issues.
What they ask for
- 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 fine-tuning GenAI models and Reinforcement Learning.
- Background in compiler optimizations for ML workloads, large-scale AI systems, or MLOps.
Pay
$117,800.00 - $176,600.00 USD base salary
Tools
Python, PyTorch, TensorFlow, Git, Gerrit, GitHub, GitLab, Docker
AI focus
Develops and deploys data center AI/ML solutions, Gen AI and LLM applications; works on inference optimization, model benchmarking, fine-tuning, and distillation.
Model-written summary · the original posting is authoritative