Sr. Imaging & Computer Vision Architect
Role details
Job location
Tech stack
Job description
We're seeking a Senior Imaging & Computer Vision Architect to help define the future of camera, imaging, video, and AI capabilities across Ambiq's next-generation SoC platforms.
What You'll Do
As a key member of our architecture team, you'll drive the definition and development of advanced imaging and computer vision architectures optimized for ultra-low-power operation. You'll work across hardware, software, AI, applications, and product teams to transform concepts into market-leading solutions.
Responsibilities include:
- Define imaging, ISP, video, and computer vision architectures for future Ambiq products
- Develop architecture specifications, power/performance models, system flows, and use-case definitions
- Drive camera image quality and imaging pipeline strategy
- Evaluate and integrate external and internal imaging, video, and AI IP
- Partner with software teams to define APIs, hardware abstraction layers, and imaging frameworks
- Collaborate with FPGA, design, verification, and physical design teams through implementation
- Support customer engagements to understand requirements and align product capabilities with market needs
- Contribute to product roadmaps and next-generation imaging technology strategy
Requirements
Do you have experience in Cross-functional communication?, We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency., * BS in Electrical Engineering, Computer Engineering, Computer Science, or related field
- 8+ years of imaging, ISP, video, computer vision, AI accelerator, or related architecture experience
- Proven experience creating architecture specifications for complex SoCs or hardware platforms
- Expertise in one or more of the following:
- Image Signal Processing (ISP)
- Camera Systems
- Computer Vision
- Video Encode/Decode
- Neural Network Acceleration
- Embedded AI
- Experience delivering products from concept through silicon validation
- Strong understanding of low-power mobile, wearable, or IoT systems
- Excellent communication and cross-functional collaboration skills
Preferred:
- MS or PhD
- Advanced process node experience
- Team leadership or technical leadership experience