Qualcomm
Senior Engineer - Machine Learning
$141K–$211K
San Diego, California · On-site · Senior · Full-time · Posted Sep 30, 2026
- Experience
- 2+ years with a bachelor's degree; 1+ year with a master's degree; no experience duration stated for PhD.
- Education
- Bachelor’s, master’s, or PhD in Computer Science, Engineering, Information Systems, or a related field.
About the job
Designs and optimizes production machine-learning systems, including models, inference, deployment infrastructure, and data pipelines for AI platforms and applications.
What you'll do
- Build production ML models, pipelines, and scalable training, evaluation, and deployment workflows.
- Optimize inference performance and build or maintain model-serving infrastructure.
- Design data pipelines and collaborate across product, platform, and hardware teams on end-to-end ML solutions.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of related work experience; OR master’s degree in a related field and 1+ year of related work experience; OR PhD in a related field.
Nice to have
- Python and at least one of C++, Rust, or Go; experience with PyTorch or TensorFlow and model deployment or serving.
- Experience with LLMs, generative or multimodal AI, RAG, distributed computing, GPUs/accelerators, Kubernetes, Docker, CI/CD, or agentic AI workflows.
Pay
$140,800.00 - $211,200.00 (USD, base salary)
Tools
Python, C++, Rust, Go, PyTorch, TensorFlow, vLLM, ONNX
AI focus
Develop and deploy ML and LLM systems, optimize model inference, and support generative, multimodal, retrieval-augmented, and agentic AI workflows.
Model-written summary · the original posting is authoritative