Imaging & Computer Vision Architect
Ambiq Micro, Inc
Austin, TX, United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Artificial Neural Networks
Computer Vision
Encodings
Computer Engineering
Imaging Technology
Signal Processing
Information Technology
Decoding
Job description
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., * 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
- 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
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