1 day ago
Base Salary
$123k - $184k/yr
Responsibilities
- Design and implement production machine learning models, pipelines, reusable components, libraries, and frameworks.
- Build scalable training, evaluation, and deployment workflows.
- Optimize model inference for latency, throughput, and cost using caching, quantization, batching, routing, benchmarking, and profiling.
- Integrate ML and LLM models into APIs, microservices, and applications.
- Build and maintain model-serving infrastructure using systems such as vLLM, ONNX, and custom runtimes.
- Design data pipelines for ingestion, preprocessing, feature engineering, validation, and systematic model evaluation.
- Collaborate with product, platform, infrastructure, and hardware teams on end-to-end ML solutions and system architecture.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- Strong programming skills in Python and at least one systems language: C++, Rust, or Go.
- Solid understanding of supervised and unsupervised machine learning, deep learning, transformer architectures, LLMs, model evaluation, and debugging.
- Experience with ML frameworks such as PyTorch and TensorFlow, model deployment and serving systems, scalable software, and APIs.
- Experience with LLMs, multimodal models, generative AI, retrieval systems, RAG pipelines, distributed computing, and GPU or accelerator environments.
- Experience with Kubernetes, Docker, CI/CD pipelines, agentic and multi-step AI workflows, tool integration, orchestration, and multi-component pipelines.
- Knowledge of model optimization, vector databases, search systems, cost-aware model routing, dynamic batching, caching, and related techniques.
Benefits
- Office-based position in San Diego, California, complying with Qualcomm's onsite work policy.
- Competitive annual discretionary bonus program and opportunity for annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
Categories
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.