Senior Engineer - Machine Learning
qualcommAbout the role
Company:
Qualcomm IncorporatedJob Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral 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 Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR
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.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
Preferred Qualifications
Strong programming skills in Python and at least one systems language (C++/Rust/Go)
Solid understanding of:
- Machine learning fundamentals (supervised, unsupervised, deep learning)
- Transformer architectures / LLMs
- Model evaluation and debugging
Experience with:
- ML frameworks (PyTorch, TensorFlow)
- Model deployment and serving systems
- Building scalable software and APIs
Experience with:
- Large Language Models (LLMs), multimodal models, or generative AI
- Retrieval systems and RAG pipelines
- Distributed computing and GPU/accelerator environments including model serving and efficient cache/state management (e.g. KV cache, embeddings) across disaggregated systems
- Kubernetes, Docker, and CI/CD pipelines
- Agentic and multi-step AI workflows, tool integration, orchestration, and multi-component pipelines
Knowledge of:
- Model optimization techniques (quantization, distillation, caching)
- Vector databases and search systems (OpenSearch, Qdrant, etc.)
- Cost-aware system design – model routing (small vs. large models), dynamic batching, and caching strategies
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for
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