Production ML Systems Engineer

QUALCOMM, Inc.; San Diego (CA); On-site; USD 123,000 - 184,000; Full time

Job summary

Qualcomm Incorporated in San Diego, CA seeks a Core ML Engineer to design, deploy, and optimize ML systems powering next-generation AI platforms. You will develop production ML models, pipelines, and scalable inference engines while collaborating with platform and hardware teams.

The role emphasizes software engineering fundamentals, ML expertise, and building robust, high-performance systems at scale. Onsite work in San Diego is required.

Qualifications

• Bachelor's degree in CS, Engineering, Information Systems, or related field.
• Strong programming skills in Python and at least one systems language (C++/Rust/Go).
• Solid understanding of machine learning fundamentals (supervised, unsupervised, deep learning).
• Experience with ML frameworks (PyTorch, TensorFlow).
• Model deployment and serving systems experience.

Responsibilities

• Design and implement machine learning models and pipelines for production use.
• Optimize model inference for latency, throughput, and cost.
• Integrate ML models into APIs, microservices, and applications.
• Build and maintain model-serving infrastructure (e.g., ONNX, custom runtimes).
• Collaborate with platform and infrastructure teams for scalable deployment.

Skills

Python

C++

ML fundamentals

PyTorch

Transformers/LLMs

GPUs

Tools

ONNX

vLLM

Docker

Job description

Qualcomm Incorporated in San Diego, CA seeks a Core ML Engineer to design, deploy, and optimize ML systems powering next-generation AI platforms. You will develop production ML models, pipelines, and scalable inference engines while collaborating with platform and hardware teams.

The role emphasizes software engineering fundamentals, ML expertise, and building robust, high-performance systems at scale. Onsite work in San Diego is required.