1 day ago
Base Salary
$141k - $211k/yr
Responsibilities
- Design and implement production machine learning models and pipelines.
- Build scalable training, evaluation, and deployment workflows.
- Develop reusable ML components, libraries, frameworks, and model-serving infrastructure.
- Optimize model inference for latency, throughput, and cost through caching, quantization, batching, routing, benchmarking, and profiling.
- Integrate ML and LLM models into APIs, microservices, and applications.
- Design data pipelines for ingestion, preprocessing, feature engineering, validation, and reliability improvement.
- 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 plus 2+ years of relevant engineering experience; alternatively, a master’s degree plus 1+ year of experience or a PhD in a related field.
- Strong Python programming skills and proficiency in at least one systems language such as C++, Rust, or Go.
- Understanding of supervised and unsupervised 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 AI workflows, tool integration, orchestration, and multi-component pipelines.
- Knowledge of quantization, distillation, caching, vector databases, search systems, model routing, dynamic batching, and cost-aware system design.
Benefits
- Annual base pay range of $140,800.00-$211,200.00, plus a discretionary bonus program and potential annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
- Office-based position in San Diego, California, subject to the company’s onsite work policy.
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.