Sr. Imaging & Computer Vision Architect

Posted 2 Hours Ago
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Austin, TX, USA
In-Office
Senior level
Hardware • Internet of Things • Software • Wearables • Semiconductor
Join the Team Powering the Future of Edge AI
The Role
Define and develop ultra-low-power imaging, ISP, video, and computer vision architectures for Ambiq SoCs. Create architecture specs, power/performance models, and system flows; drive camera image quality strategy; evaluate/integrate imaging and AI IP; define APIs and HALs; collaborate across FPGA, design, verification, and product teams; support customer engagements and contribute to product roadmaps.
Summary Generated by Built In

Company Overview

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.

We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency.

At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve.

If that's you, join us — the intelligence everywhere revolution starts here.


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

What We're Looking For
  • 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

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.

Skills Required

  • 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: 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
  • Authorized to work in the United States without current or future sponsorship
  • Onsite attendance in Austin, Texas five days per week
  • MS or PhD
  • Advanced process node experience
  • Team leadership or technical leadership experience
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The Company
HQ: Austin, Texas
220 Employees
Year Founded: 2010

What We Do

Ambiq® enables intelligence (AI and beyond) everywhere by delivering the lowest-power semiconductor solutions for battery-powered edge devices. As a pioneer in ultra-low power SoCs, Ambiq empowers wearables, IoT, smart home, healthcare, and industrial products with always-on, energy-efficient intelligence. Backed by our SPOT® technology and global innovation leadership, Ambiq is shaping the future of edge AI.

Why Work With Us

Direct influence on silicon architecture Smaller, high-impact teams Hardware/software co-design in real time Faster technical decision cycles Visible ownership at Staff & Director level Austin-based collaboration culture

Ambiq Offices

OnSite Workspace

Building silicon and embedded AI systems requires tight collaboration across firmware, hardware, validation, and architecture teams. We believe the hardest engineering problems are solved through direct, daily collaboration.

Typical time on-site:
HQAustin, Texas
Taiwan
China
Singapore
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