- Location
- Austin, Texas, United States
- Posted
- 6 months ago
About this role
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.
As published by Ambiq. Applications are handled on their site.
Skills this posting mentions
About Ambiq
Ambiq® was founded in 2010 on the simple yet powerful notion that extremely low-power semiconductors are the key to the future of electronics. Through the use of pioneering ultra-low power technology, innovative companies around the world are developing differentiated solutions that reduce or eliminate the need for batteries, reduce overall system power and maximize industrial design flexibility. Our mission is to enable intelligence (artificial intelligence (AI) and beyond) everywhere by delivering the lowest power semiconductor solutions. We enable our customers to deliver artificial intelligence compute at the edge where power consumption challenges are the most profound. Our technology innovations, built on the patented and proprietary subthreshold power optimized technology (SPOT), fundamentally deliver a multi-fold improvement in power consumption over traditional semiconductor designs. We’ve powered over 270 million devices today. As we see the shift in devices move from “smart” to “AI,” our technology and solutions have evolved to accommodate the power requirements needed to enable feature rich devices that are always on, high performing, secure, accurate, energy efficient, and just as important practical. Our leadership in powering devices made for edge AI has helped technology innovators across wearable, smart home and buildings, industrial, healthcare, and other sectors deliver intelligent devices that can do more while consuming less. For more information, visit www.ambiq.com.
All 45 openings at AmbiqOne click, then it is written
Apply to Ambiq with a resume written for this role.
Queue Embedded Software Architect - Edge AI MCU and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Ambiq’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
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03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
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Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
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Listed from the job board Ambiq publishes. Refolk is not the employer and does not handle their hiring. Applications go to Ambiq directly.