3 months 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 builds enterprise open-source software, including Red Hat Enterprise Linux, OpenShift for Kubernetes, and Ansible automation, sold via subscriptions with support, training, and consulting. It serves large enterprises and public-sector organizations running hybrid and multi-cloud infrastructure and modern application platforms. Founded in 1993 and headquartered in Raleigh, North Carolina, Red Hat operates as an independent subsidiary of IBM.