System Architect-AI platform
Core
Lead end-to-end hardware architecture design for Philips' unified edge and on-prem AI platform supporting multi-modal medical imaging (CT, MR, DSA, Ultrasound) and containerized/virtualized AI workloads.
Role type
Senior Hardware Architect (AI Platform)
Builds
Hardware reference designs, BOMs, and upgrade roadmaps for medical-grade edge and server clusters.
Domain
Medical Imaging / Edge AI / Hardware Systems
Deliverable
production ML models
Required skills
x86 architecture, PCIe, GPU architecture (NVIDIA), high-speed storage (NVMe), low-latency networking, Linux systems, virtualization (KVM), containerized workload planning, system-level performance benchmarking, thermal/power analysis
Preferred skills
Medical device industry experience, IEC 60601/62304/NMPA standards, Kubernetes/K3s/KubeVirt, hybrid edge-server design, long-lifecycle industrial platform design
Technologies
SUSE Linux, K3s, KubeVirt, KVM, TensorRT, ONNX, NVIDIA accelerators, OpenTelemetry, Zarf, FRP
Responsibilities
Develop hardware reference architecture for edge/on-prem deployments; Co-design hardware with software for virtualization and GPU acceleration; Define compute/GPU/memory/storage/network specs; Address air-gapped deployment and EMI/EMC constraints; Support regulatory alignment (IEC 62304, IEC 60601); Lead performance benchmarking for AI inference; Evaluate supply chain and define BOMs; Collaborate on clinical pilot validation; Create architecture documentation.
Seniority
Senior, hands-on IC
