Sr. Imaging & Computer Vision Architect

Ambiq Micro, Inc
Austin, TX, United States
2 months 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

Abstraction Layers Application Programming Interfaces (APIs) Artificial Intelligence Artificial Neural Networks Computer Vision Encodings Computer Engineering Field-Programmable Gate Array (FPGA) Image Quality Imaging Technology Signal Processing Information Technology
+2 more
Physical Design Decoding

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

About the company

Ambiq is on a mission to enable intelligence everywhere - powering the AI edge revolution with the world’s lowest-power semiconductor solutions.

Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we’ve shipped over 300 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications.

Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology., Why Ambiq?

At Ambiq, you’ll help create the world’s most power-efficient semiconductor solutions, enabling a future where AI is everywhere. You’ll work alongside exceptional engineers solving some of the industry’s most challenging architecture problems while influencing products that reach millions of users worldwide.

Please note: Candidates must be authorized to work in the United States without current or future sponsorship requirements. This position is based in Austin, Texas and requires onsite attendance five days per week.

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