Senior ML Systems Engineer — Scale Production AI

QUALCOMM, Inc.; San Diego (CA); On-site; USD 141,000 - 211,000; Full time

Job summary

Qualcomm Incorporated in San Diego, CA seeks a Core ML Engineer to design, develop, and optimize machine learning systems powering next-gen AI platforms and applications. You will build scalable ML pipelines, optimize inference, and deploy models across APIs and microservices in production environments.

The ideal candidate combines strong software engineering with deep ML expertise, capable of delivering robust, high-performance systems at scale in a collaborative, hardware-aware setting.

Qualifications

• Bachelor's degree in CS/EE or related field with 2+ years in hardware/ software/ systems engineering.
• Master's degree with 1+ year experience or PhD in related field.

Responsibilities

• Design and implement production ML models and pipelines.
• Optimize model inference for low latency, high throughput, and cost.
• Integrate ML/LLM models into APIs, microservices and apps.
• Build scalable model-serving infrastructure and data pipelines.

Skills

Python

C++

ML fundamentals

Transformer architectures/LLMs

Model evaluation & debugging

Education

Bachelor's degree with 2+ years exp

Master's degree with 1+ year exp

PhD in relevant field

Tools

PyTorch

TensorFlow

ONNX

vLLM

OpenSearch / Qdrant

Docker

Kubernetes

Job description

Qualcomm Incorporated in San Diego, CA seeks a Core ML Engineer to design, develop, and optimize machine learning systems powering next-gen AI platforms and applications. You will build scalable ML pipelines, optimize inference, and deploy models across APIs and microservices in production environments.

The ideal candidate combines strong software engineering with deep ML expertise, capable of delivering robust, high-performance systems at scale in a collaborative, hardware-aware setting.