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.
- 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.
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.