Qualcomm

Senior Engineer - Machine Learning

Qualcomm
US San Diego, CA, US
Onsite 2026-07-02
Announced salary
$140,800 - $211,200
Low
$91K
Median
$120K
High
$159K
Market in San Diego · BLS OEWS 2025
Estimated net pay
$8,228 - $11,822
/month · 30% withheld
after tax & contributions · Single, no dependents

Job description

**Company:** ------------ Qualcomm Incorporated **Job Area:** ------------- Engineering Group, Engineering Group \> Machine Learning Engineering **General Summary:** We are seeking a highly skilled ***Core ML Engineer*** to design, develop, and optimize machine learning systems that power next\-generation AI platforms and applications. This role focuses on model development, inference optimization, and scalable ML infrastructure, enabling production\-grade AI capabilities across enterprise systems. The ideal candidate combines strong software engineering fundamentals with deep ML expertise, and thrives in building robust, high\-performance systems at scale. **Key Responsibilities** ------------------------ **Core ML System Development** * Design and implement machine learning models and pipelines for production use Build scalable training evaluation* deployment workflows * Develop reusable ML components, libraries, and frameworks **Inference \& Performance Optimization** * Optimize model inference for latency, throughput, and cost * Implement advanced techniques such as caching, quantization, batching, and routing * Benchmark and profile models across diverse workloads and hardware environments **Model Integration \& Deployment** * 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 **Data \& Pipeline Engineering** * Design data pipelines for ingestion, preprocessing, feature engineering, and validation * Improve data quality and model reliability through systematic evaluation **Cross\-functional Collaboration** * Partner with product, platform, and hardware teams to deliver end\-to\-end ML solutions * Participate in design reviews and contribute to system architecture decisions **Minimum Qualifications:** * Bachelor's degree in Computer Science, Engineering, Information

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