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 Staff Applications Software Engineer at Ambiq, you will be responsible for supporting Ambiq’s Apollo and Atomiq families of SoCs.
This role will work with our hardware and software development teams, field engineering team, and customers to develop software, including example applications for Ambiq and customer evaluation hardware, device drivers, HAL updates, and Zephyr enablement. In addition, the Software Engineer will debug device level software issues, support field engineering with customer issues, and help create customer-facing documentation such as application notes and software design guidelines.
The successful candidate should have a strong understanding of embedded development on Cortex-M MCUs, bare-metal and real-time operating systems, and be familiar with debugging the same. They must possess strong written and oral communication skills.
The person in this role will be responsible for supporting Ambiq’s field engineering team and customers, coordinating with the global team to make improvements and fix customer issues, and extending Ambiq's offerings with new software examples, application notes, and software design guidelines.
Responsibilities- Design, debug, porting, and analysis of embedded microcontroller software drivers, algorithms, application code, board support packages, automated scripts, and design test cases to provide the required functionality to end customers.
- Collaborate with internal development teams to analyze and debug complex system level issues and develop software solutions.
- Create application notes, knowledgebase articles, and software design guidelines.
- Assist customers with the use of the Ambiq SDKs and hardware platforms.
- Collaborate with hardware engineering in the architecture and design of hardware evaluation platforms, provide software for test and debug of hardware evaluation platforms.
- Develop custom software functions and applications to facilitate microcontroller performance analysis and silicon issue debug.
- Bridge the communication between field and engineering teams for field issues and manage issue status tracking.
- MS in ECE or Computer Science and 6+ years of experience or BS in ECE/CS with 8+ years of experience.
- Experience developing embedded MCU code in C required.
- Experience with embedded systems in real-time environments.
- Experience with Zephyr is a plus.
- Experience with at least one MCU IDE from ARM, Keil, IAR, SEGGER, or other.
- Familiarity with MCU peripherals including SPI, I2C, UART, ADC, USB, I2S and PDM. MIPI and USB are a plus.
- Experience with Bluetooth and Bluetooth Low Energy.
- Experience with short-range technologies including Zigbee and Thread are a plus.
- Experience working hands-on in the lab.
- Familiarity with source code control systems (git) required.
- Excellent problem-solving skills dealing with complex system level issues related to HW/SW debug.
- Experience in embedded security and cryptographic algorithms is a plus.
- Experience with embedded graphics and display technologies is a plus.
- Experience with scripting languages required, and python experience is specifically desirable.
- Experience leveraging modern AI-assisted software development tools (e.g., Cursor, Codex, or similar) is desirable.
Skills Required
- MS in Electrical and Computer Engineering or Computer Science with 6 or more years of experience
- BS in Electrical and Computer Engineering or Computer Science with 8 or more years of experience
- Embedded microcontroller development in C
- Embedded systems experience in real-time environments
- Experience with at least one MCU IDE from ARM, Keil, IAR, SEGGER, or equivalent
- Familiarity with MCU peripherals including SPI, I2C, UART, ADC, USB, I2S, and PDM
- Bluetooth and Bluetooth Low Energy experience
- Hands-on laboratory experience
- Familiarity with Git or other source code control systems
- Strong problem-solving skills for complex hardware and software debugging
- Experience with scripting languages
- Strong written and oral communication skills
- Zephyr experience
- MIPI and USB experience
- Zigbee and Thread experience
- Embedded security and cryptographic algorithms experience
- Embedded graphics and display technologies experience
- Python experience
- Experience using AI-assisted software development tools such as Cursor or Codex
What We Do
Ambiq® enables intelligence (AI and beyond) everywhere by delivering the lowest-power semiconductor solutions for battery-powered edge devices. As a pioneer in ultra-low power SoCs, Ambiq empowers wearables, IoT, smart home, healthcare, and industrial products with always-on, energy-efficient intelligence. Backed by our SPOT® technology and global innovation leadership, Ambiq is shaping the future of edge AI.
Why Work With Us
Direct influence on silicon architecture Smaller, high-impact teams Hardware/software co-design in real time Faster technical decision cycles Visible ownership at Staff & Director level Austin-based collaboration culture
Ambiq Offices
OnSite Workspace
Building silicon and embedded AI systems requires tight collaboration across firmware, hardware, validation, and architecture teams. We believe the hardest engineering problems are solved through direct, daily collaboration.
