2 hours ago
Singapore, SingaporeSenior
Responsibilities
- Design and build production-ready architecture blueprints and reference codebases for enterprise AI use cases.
- Package repeatable and extensible architectures as open-source AI Quickstarts.
- Collaborate with semiconductor partners, regional AI programs, software vendors, and customers to validate joint architectures and integrations.
- Integrate automated testing, evaluation harnesses, and system telemetry to measure latency, throughput, cost, and model quality.
- Incorporate data privacy, secure network perimeters, localized hosting, and compliance requirements into solution blueprints.
- Develop solutions involving distributed computing, workflow orchestration, LLM and agentic architectures, model serving, and runtime optimization.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, or a related quantitative field.
- Hands-on proficiency in Python for machine learning and systems programming.
- Strong familiarity with PyTorch, Hugging Face Transformers, datasets, tokenizers, and core NLP or computer vision ecosystems.
- Practical experience deploying containerized applications on Kubernetes or comparable enterprise container platforms.
- Conceptual and hands-on understanding of model-serving lifecycles, data ingestion, and automated packaging.
- Understanding of software engineering fundamentals, clean code, test-driven development, CI/CD automation, and Git workflows.
- Clear verbal and written English communication skills for explaining complex technical architectures.
- Familiarity with Go or C/C++ is preferred.
- Experience with Ray, MLflow, Kubeflow, Docling, vector databases, LangChain, LlamaIndex, LangGraph, AgentOps, Model Context Protocol, PEFT/SFT, or vLLM is advantageous.
- Understanding of CUDA, ROCm, GPU/NPU architectures, model-serving optimization, and benchmarking across diverse hardware is advantageous.
- Industry experience in financial services, public sector, healthcare, telecommunications, or manufacturing is advantageous.
Benefits
- Work in a strategic Singapore-based AI Center of Excellence whose open-source blueprints and Quickstarts contribute to the wider community.
- Follow a dedicated technical career track focused on architectural depth and software contribution without administrative management or project coordination responsibilities.
- Gain hands-on exposure to emerging hardware platforms, agentic runtimes, and localized enterprise software stacks.
- Red Hat supports flexible work environments ranging from in-office and office-flex to fully remote, depending on role requirements.
Categories
About Red Hat
Red Hat is the world’s leading provider of enterprise open source solutions, using a community-powered approach to deliver high-performing Linux, hybrid cloud, edge, and Kubernetes technologies. We hire creative, passionate people who are ready to contribute their ideas, help solve complex problems, and make an impact. Opportunities are open. Join us.