We are seeking a System Architect to join our team and play a key role in shaping the architecture of Neu Reality's AI inference appliance. As a System Architect, you will be integral in driving the company's architectural roadmap, working closely with the product team, CTO, and development teams. Together, you’ll analyze new market demands and define the product architecture for our Server-on-Chip system, which caters to a wide range of AI verticals. Responsibilities:
Collaborate closely with the product team and CTO to assess new requirements and define the company’s architectural roadmap and Plan of Record (POR).
Design system flows and deployment models for Neu Reality’s AI inference appliance in advanced cloud environments.
Establish architecture guidelines, requirements, and the division of labor between software toolchain components, firmware, and hardware elements of the So C.
Lead performance estimations, measurements, and optimizations, as well as system-level integration efforts.
Engage directly with end customers to shape use cases and system solutions, including demos and Proofs of Concept (Po Cs).
Requirements:
BSc/MSc in Electrical Engineering, Computer Science, or a related field
10+ years of proven experience working with complex systems that integrate hardware, firmware, and software
Familiarity with deep learning frameworks such as Py Torch and Tensor Flow
Strong background in software architecture, particularly in HW/SW APIs, CPU and memory subsystems, system performance, scaling, and optimization
Hands-on approach with practical experience in software development
Excellent communication skills and a collaborative team player
Advantages:
Familiarity with AI systems and hardware acceleration engines for AI workloads
Experience in compiler development, particularly with MLIR/LLVM frameworks
Knowledge of Kubernetes orchestration, load balancing, and data-center architecture
Familiarity with high-speed I/O subsystems like PCIe, CXL.io, CXL.mem, as well as storage technologies including NVMe, NVMe OF, Object, and Block storage