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Sr. Imaging & Computer Vision SOC Architect

Austin, Texas, United States

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.

 

As the Sr Imaging and Computer Vision Architect at Ambiq, you will drive the architectural definition of various aspects of Ambiq’s low-power SoCs, with a specific focus on ISP, Video, camera image quality, and AI at the edge for computer vision. This is a critical function at Ambiq that supports the delivery of the world’s lowest-power electronic devices, enabling ubiquitous AI at the edge. This is a cross-functional position working with software and hardware engineering teams, applications engineering, and field teams to ensure alignment to product requirements, logical and physical design constraints, power and performance targets, and overall system architecture. This role will encompass high-level architectural specification, ISP/image quality process definition and optimizations, video encoding/decoding, power/performance modeling, and computer vision use-case definition.

Responsibilities include:

  • Define and develop architecture specifications, including flow diagrams/sequences, power/performance models, and pseudocode 
  • Customer interaction is needed to ensure alignment on key camera and computer vision features and competitive product positioning  • Support for use case and test case development 
  • Integration specifications to support system interfaces and external power management requirements/interfaces 
  • Work with the FPGA team to bring up critical imaging features 
  • Work with software architecture to define imaging flows, APIs, and hardware abstraction layers 
  • Work with the physical design team to ensure robust/optimal implementation 
  • Work with the design team to debug issues using RTL and gate-level simulation

Expectations for a successful candidate are as follows: 

  • Work with Ambiq’s Marketing, Advanced Development, architecture, and engineering teams to drive development of new ultra-low power Computer Vision, Camera and Imaging architectures on Ambiq Micro’s technology and product roadmaps 
  • Develop high-level specifications and drive power/performance modeling and analysis
  • Analyze low-power imaging technology and applications to identify opportunities for extending Ambiq’s low-power leadership 
  • Define Ambiq’s imaging and AI technology roadmap, including external and internal IP assessment, definition, and integration • Work with the engineering teams to transition the architecture specification into Ambiq Micro’s products 
  • Work with systems, solutions, and software teams to ensure robust interfaces and support key product use cases • Support post-silicon analysis and efficient delivery of multimedia functionality to customers for mass production

Requirements:

  • BS in Electrical Engineering, Computer Engineering, Computer Science, or related field

  • 12+ 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 Requirements:

  • MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field

  • Advanced process node experience

  • Team leadership or technical leadership experience

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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