Senior Engineer - Machine Learning
Qualcomm
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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