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.
- Co-develop and validate joint architecture blueprints with customers, semiconductor partners, regional AI programs, and software vendors.
- Integrate automated testing, evaluation harnesses, telemetry, and benchmarking for latency, throughput, cost, and model quality.
- Incorporate data privacy, secure network perimeters, localized hosting, isolated networks, and compliance requirements into solution designs.
- Work with distributed computing, workflow orchestration, model serving, generative AI, agentic architectures, and runtime optimization technologies.
Requirements
- Bachelor’s or master’s degree in computer science, computer engineering, or a related quantitative field.
- Exceptional hands-on Python proficiency for machine learning and systems programming.
- Solid familiarity with Go or C/C++ is highly preferred.
- Strong familiarity with PyTorch, Hugging Face Transformers, datasets, and tokenizers.
- Practical experience deploying containerized applications on Kubernetes or enterprise container orchestration platforms.
- Conceptual and hands-on understanding of model-serving lifecycles, data ingestion, and automated packaging.
- Experience or interest in distributed computing, cluster scheduling, workflow orchestration, unstructured data parsing, vector databases, LLM orchestration, agentic workflows, model fine-tuning, model-serving runtimes, and hardware optimization.
- Strong software engineering foundations, including clean code, version control with Git, testing, and CI/CD automation.
- Clear English communication skills and the ability to explain complex architectures to technical stakeholders.
- Experience in regulated industries, secure data handling, edge AI, streaming pipelines, or low-latency architectures is advantageous.
Benefits
- Dedicated technical career track with progression based on engineering impact, architectural depth, and software contribution rather than people management.
- Opportunity to contribute to open-source AI Quickstarts and enterprise solution blueprints used by the wider community.
- Hands-on exposure to emerging hardware platforms, agentic runtimes, and localized enterprise software stacks.
- The role is based in Singapore and Red Hat supports flexible work environments ranging from in-office and office-flex to fully remote depending on role requirements.
- Red Hat provides reasonable accommodations for applicants with disabilities and maintains an inclusive equal-opportunity workplace.
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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.