Senior ML Systems Engineer — Production AI & Infra

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

Job summary

Qualcomm Incorporated seeks a high‑skilled Core ML Engineer to design, develop, and optimize ML systems powering AI platforms and applications. Focus areas include model development, inference optimization, and scalable ML infrastructure for production‑grade capabilities across enterprise systems.

The ideal candidate combines strong software engineering with deep ML expertise and thrives in building robust, high‑performance systems at scale.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field.

Responsibilities

• Design and implement machine learning models and pipelines for production use.
• Build scalable training to evaluation to deployment workflows.
• Develop reusable ML components, libraries, and frameworks.
• Optimize model inference for latency, throughput, and cost.
• Implement techniques such as caching, quantization, batching, and routing.
• Benchmark and profile models across workloads and hardware environments.
• Integrate ML/LLM models into APIs, microservices, and applications.
• Build and maintain model-serving infrastructure (e.g., vLLM, ONNX, custom runtimes).
• Collaborate with platform and infrastructure teams for scalable deployment.
• Design data pipelines for ingestion, preprocessing, feature engineering, and validation.
• Improve data quality and model reliability through evaluation.
• Partner with product, platform, and hardware teams to deliver end-to-end ML solutions.
• Participate in design reviews and contribute to system architecture decisions.

Skills

Python

Systems programming

ML fundamentals

Transformer architectures/LLMs

Model evaluation & debugging

PyTorch

TensorFlow

ONNX

Kubernetes

Docker

Education

Bachelor's degree in CS/Engineering/IS

Master's degree in CS/Engineering/IS

PhD in CS/Engineering/IS

Tools

vLLM

OpenAI/LLM toolchains

Job description

Qualcomm Incorporated seeks a high‑skilled Core ML Engineer to design, develop, and optimize ML systems powering AI platforms and applications. Focus areas include model development, inference optimization, and scalable ML infrastructure for production‑grade capabilities across enterprise systems.

The ideal candidate combines strong software engineering with deep ML expertise and thrives in building robust, high‑performance systems at scale.