Embedded Software Architect – Edge AI MCU

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.