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Embedded Software Architect – Edge AI MCU

Join Ambiq as a Principal Embedded Software Architect to define the software architecture for next-generation low-power Edge AI MCUs.

Location
Austin, Texas, United States
Compensation
Not disclosed
Level
principal
Type
full time · On-site

Posted by employer 6 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Ambiq → Save job Scanned from ambiq.com

Skills & Technologies

Role intensity

30% coding — mostly leadership/strategy

Requirements

Experience
12+ years
Education
Master's degree

Not disclosed in this posting: compensation, visa sponsorship.

Joblaze summary

The Embedded Software Architect at Ambiq plays a crucial role in defining the software architecture for next-generation ultra-low-power Edge AI microcontrollers, focusing on how the system behaves rather than just coding. This position requires extensive experience with ARM Cortex-M platforms and a strong grasp of real-time systems, particularly in areas like memory management and power optimization. Ideal candidates are seasoned professionals with over 12 years in embedded software development, capable of driving architectural decisions and collaborating closely with cross-functional teams. Ambiq fosters a collaborative culture that emphasizes innovation and the integration of hardware and

Joblaze insights

Quick facts

Is the Embedded Software Architect – Edge AI MCU role remote?
No — this is an on-site role in Austin, Texas, United States.
How much experience is required?
At least 12 years of relevant experience for this Embedded Software Architect – Edge AI MCU role.
Where is the role based?
Ambiq is hiring for this position in Austin, Texas, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: ARM Cortex-M, C++, FPGA, OpenAMP, RPMsg, RTOS.
What seniority level is this role?
Ambiq targets principal-level candidates for this position.
Is this full-time or contract?
Full-time for this Embedded Software Architect – Edge AI MCU role at Ambiq.

From the original posting

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.

Austin, TX – Onsite (5 days/week)
U.S. Work Authorization Required (No Sponsorship Available)


Architect the Software Foundation for Ultra-Low-Power Edge AI Silicon

Ambiq designs and ships ultra-low-power Edge AI MCUs that enable real-time intelligence directly on device.

We are expanding our Austin engineering organization and hiring a Principal Embedded Software Architect to define the software architecture and requirements for our next-generation Edge AI MCU platforms.

This role sits at the hardware/software boundary — partnering directly with SoC architects, product teams, IP vendors, and embedded software leaders to shape how our silicon is exposed, controlled, optimized, and validated.

You won’t just write code.
You will define how the system behaves.


What You’ll Own

As Embedded Software Architect, you will:

  • Define the software architecture for next-generation low-power Edge AI MCUs

  • Drive early-stage functional allocation between hardware and software

  • Develop and refine Software Requirements Specifications (SRS) tied to real customer use cases

  • Lead architectural decisions across:

    • Multi-processor communication

    • Control/data plane separation

    • Data movement acceleration

    • Memory management and protection

    • Dynamic resource allocation

    • Power optimization strategies

    • Debug and visibility tooling

  • Partner with SoC architects to influence hardware/software trade-offs

  • Support software prototyping to validate architectural decisions

  • Act as architectural SME through implementation, validation, and bring-up phases

  • Review designs, test plans, and implementation details to ensure alignment with architectural intent

  • Mentor engineers and define best practices across embedded teams

This is a high-impact architectural role influencing multiple MCU generations.


Technical Environment

You will work deeply across:

  • ARM Cortex-M architectures

  • Bare metal and RTOS-based systems

  • Asymmetric multi-core systems

  • Inter-processor communication (OpenAMP, RPMsg, etc.)

  • Data movement engines and acceleration blocks

  • MMU/MPU, caches, shared memory, dual-port memory

  • Power management (DVFS, clock gating, low-power states)

  • FPGA-based emulation platforms and full reference systems

You will be embedded within engineering teams while influencing cross-functional decisions across silicon and software domains.


What We’re Looking For

Required Experience

  • BS or MS in EE, CE, or CS

  • 12+ years developing embedded software for real-time systems

  • Deep experience on ARM Cortex-M platforms

  • Strong C/C++ (assembly experience preferred)

  • Experience defining and writing Software Requirements Specifications (SRS)

  • Strong understanding of:

    • Functional allocation

    • Requirements traceability

    • Testability across pre-silicon and post-silicon platforms

  • Experience with asymmetric multicore architectures

  • Strong knowledge of memory systems, data movement, and processor interaction

  • Ability to independently drive architectural decisions


Preferred Experience

  • Power optimization strategies in embedded systems

  • TrustZone for M-class microcontrollers

  • Trusted firmware environments

  • Graphics, display, or audio/video processing

  • Experience working with IP vendors and external silicon partners


Why This Role Is Different

  • Direct architectural influence on Edge AI MCU platforms

  • Close collaboration with silicon architects and IP vendors

  • Ownership across early-stage definition through validation

  • Opportunity to shape hardware/software trade-offs that impact power, performance, and scalability

  • Austin-based collaboration culture with tight hardware/software integration

This is a principal-level role for engineers who want to define system behavior — not just implement features.


Location & Work Authorization

Austin, TX – Onsite 5 days per week
Must be authorized to work in the United States. We do not sponsor or transfer visas for this role.

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