Principal Camera & Vision System Architect

Описание

Own the Camera and Vision subsystem architecture for next-generation high-end MPU platforms, translating product use cases, customer requirements, workloads, and Camera/Vision technologies into scalable and implementable HW/SW architectures. Act as the architectural bridge between Product, Camera/Vision Core Technology, SoC Architecture, and HW/SW development teams.

Responsibilities

• Own the end-to-end Camera and Vision subsystem architecture for next-generation MPU platforms and derived products
• Translate product use cases, customer requirements, workloads, and Camera/Vision technologies into an end-to-end subsystem architecture, including processing and control flows, HW/SW/FW partitioning, blocks and accelerators, interfaces, buffering, memory usage, software components, and verification requirements
• Work with Product and Camera/Vision Core Technology teams to translate algorithmic requirements into practical architectures supporting machine-vision effectiveness and, where applicable, human-viewing image quality
• Define subsystem performance and resource requirements and collaborate with SoC and subsystem architects on workload modeling, resource allocation, interfaces, system-level performance analysis, and architecture trade-offs under realistic concurrent workloads
• Define a scalable architecture across product tiers and generations, evaluating internal and third-party technologies and IP based on technical fit, differentiation, reuse, implementation risk, and roadmap needs
• Drive the architecture definition through implementation, integration, silicon bring-up, performance characterization, and product validation, ensuring alignment with use cases, requirements, and architectural intent
• Work with Product and customer-facing teams to understand emerging use cases, customer requirements, competitive developments, and market trends, and help shape the MPU product and technology roadmap
• Drive technical alignment and decision making across global Product, Core Technology, SoC architecture, HW and SW teams
• Develop and present architecture proposals, investment and implementation alternatives, technical and product tradeoffs, and clear recommendations to Product Line and Engineering leaders, including Director and Vice President level stakeholders
• Build alignment, address concerns, and drive timely decisions on product architecture, technology selection, roadmap direction, and major implementation choices

Requirements

• Extensive experience in Camera, Imaging, or Computer Vision systems, with deep knowledge of modern Camera and ISP pipelines and a proven track record of owning subsystem architecture for production SoCs or similarly complex embedded platforms
• Strong understanding of image sensors, sensor interfaces, image-processing flows, multi-camera systems, and the architectural implications of traditional and AI/ML-based Vision algorithms
• Demonstrated ability to translate use cases, workloads, and algorithms into HW/SW/FW architecture, interfaces, performance budgets, specifications, and validation requirements, including complex partitioning and design trade-offs
• Strong understanding of Camera/Vision software and SoC integration, including sensor and ISP control, buffer and memory management, runtime orchestration, DMA, bandwidth, latency, synchronization, interconnect behavior, and interfaces to Vision and AI runtimes
• Experience defining subsystem KPIs, resource budgets, workload models, and validation methods, and guiding an architecture from concept through silicon and product validation
• Ability to structure incomplete requirements, establish sound assumptions, evaluate alternatives objectively, and drive complex technical decisions to closure
• Strong technical leadership and communication skills, with demonstrated ability to develop a technically rigorous proposal, communicate complex architecture and business tradeoffs clearly, respond effectively to challenge, and drive alignment across global cross-functional teams and senior technical and business stakeholders
• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Imaging Science, or a related technical discipline
• Extensive professional experience in embedded systems, semiconductor products, Camera/Imaging, Computer Vision, or SoC architecture
• Demonstrated experience defining and delivering Camera/Vision subsystem architecture for production products

Nice to have

• Experience with high-performance or multi-camera SoCs and Camera pipelines feeding AI/NPU or heterogeneous-compute workloads
• Experience with industrial, robotics, automotive, surveillance, or other real-time Vision systems
• Experience with Camera/Vision workload modeling, architecture simulation, or quantitative performance analysis
• Experience with custom image-processing or Vision accelerators and heterogeneous SoCs combining ISP, CPU, GPU, NPU, memory, and display
• Experience with imaging science, machine-vision image quality, or third-party Camera/ISP/Vision IP integration
• Customer-facing architecture experience and familiarity with relevant safety, security, reliability, or diagnostic requirements

We offer

• Competitive benefits package alongside salary