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.
