Principal Forward Deployed Engineer - AI PlatformPrincipal Forward Deployed Engineer - AI Platform/Kubernetes/Pytorch
Red Hat17 days ago
Singapore, SingaporeStaff+
Responsibilities
- Embed with strategic customers and partners to resolve identity, SSO, legacy data pipeline, network isolation, and air-gapped deployment challenges.
- Architect and develop secure, scalable platform integrations, distributed inference systems, RAG pipelines, agent architectures, and production AI platforms.
- Harden proofs of concept and MVPs into reliable production architectures using robust testing, architectural, and operational practices.
- Contribute production code upstream to cloud-native AI, model-serving, distributed computing, container orchestration, and MLOps open-source projects.
- Bridge APAC customer requirements with global product and engineering teams and drive field innovations into core enterprise AI products.
- Collect and use performance telemetry, operational edge cases, and security evaluation data to improve product guardrails and engine designs.
- Lead technical initiatives, evolve software delivery practices, mentor engineers, and drive strategic AI automation and business impact.
- Develop hardware-optimized inference plugins and drivers or optimize distributed inference, data pipelines, AgentOps, and workload identity systems depending on specialization track.
Requirements
- At least 8 years of experience in systems engineering, distributed computing, platform engineering, or AI/ML software development.
- Exceptional proficiency in C/C++, Go, and Python with a record of shipping optimized, production-ready, robustly tested code.
- Active upstream contributor or maintainer in relevant deep learning, distributed computing, scheduling, or container orchestration communities.
- Hands-on experience with deep learning frameworks, model fine-tuning including LoRA, QLoRA, and SFT, model serving, and LLM orchestration.
- Strong Kubernetes or enterprise container platform architecture experience, including Custom Resource Definitions, custom operators, and multi-subsystem integrations.
- Familiarity with hardware optimization, CUDA, ROCm, driver compilation, and GPU/NPU operator configuration.
- Experience providing technical strategy leadership, mentoring senior technical staff, and driving SDLC, CI/CD, and testing practices.
- Strong communication and consultative skills for working with enterprise architects and C-suite technologists, along with customer privacy, compliance, and regulatory awareness.
- Ability to work effectively in ambiguous, fast-moving enterprise environments and demonstrate deep capability in either hardware heterogeneity and sovereign AI or AI platform primitives and distributed systems.
Benefits
- Work with a founding APAC AI Center of Excellence engineering squad backed by the Singapore Economic Development Board.
- Global influence through contributions to product strategy, enterprise AI products, and open-source ecosystems.
- Flexible work environments ranging from in-office and office-flex to fully remote depending on role requirements.
- Inclusive, open-source-oriented culture with equal opportunity, reasonable accommodations, and support for applicants with disabilities.
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.