Staff Engineer - Embedded Software

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 290 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.   Scope   As the Staff Embedded Software Engineer, MCU Software at Ambiq, you will drive the development and testing of core MCU functions in AmbiqSuite SDK on Ambiq SoC devices and emulation platforms. These include features like data movement (DMA), neural processing unit (NPU), and general MCU management. You will also be contributing to defining and implementing the multicore software framework and related infrastructure.   This role will work within our global MCU software development team, closely with the architecture team and the local MCU SoC design team, focusing on MCU software development and testing.    A successful candidate should be a fast learner, results-driven, and self-motivated team player with an “always learning” mindset. They should have an inquiring spirit and be comfortable in a lab environment and in executing hands-on debugging for embedded systems.   The person in this role will be responsible for extending the hardware adaptation layer (HAL) and device drivers of the SDK to new platforms as well as enhancing its features and content, with a focus on memory management and data movement subsystems. The candidate will be involved in extending the SDK to support new MCU family members as they become available.   R