2 hours ago
Singapore, SingaporeSenior
Responsibilities
- Design and build comprehensive, production-ready AI architecture blueprints and reference codebases.
- Package repeatable and extensible architectures as open-source AI Quickstarts.
- Collaborate with semiconductor partners, regional AI programs, software vendors, and other external engineering teams to validate joint architectures and integrations.
- Develop automated testing, evaluation harnesses, and system telemetry to measure latency, throughput, cost, and model quality.
- Incorporate data privacy, secure network perimeters, localized hosting, compliance, and risk-management requirements into solution designs.
- Work across distributed computing, workflow orchestration, generative AI, agentic architectures, model serving, runtime optimization, and regulated deployments.
Requirements
- Bachelor’s or master’s degree in computer science, computer engineering, or a related quantitative field.
- Exceptional hands-on proficiency in Python for machine learning and systems programming.
- Familiarity with Go or C/C++ is highly preferred.
- Strong familiarity with PyTorch and NLP/vision ecosystems including 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.
- Understanding of distributed computing, cluster schedulers, workflow orchestration, vector databases, LLM orchestration, agentic workflows, model fine-tuning, model-serving runtimes, and hardware optimization.
- Ability to communicate complex technical architectures clearly in English to engineers and technical stakeholders.
- Experience in regulated industries such as financial services, public sector, healthcare, telecommunications, or manufacturing is advantageous.
Benefits
- Technical career progression is based on engineering impact, architectural depth, and autonomous delivery rather than people management.
- Opportunity to contribute to open-source solution blueprints and AI Quickstarts used by the broader community.
- 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.
- Red Hat provides reasonable accommodations and maintains an open, 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.