Staff Edge AI Firmware Engineer

Benefits

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Non-birth-parent leave

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Application

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About this role

Staff Edge AI Firmware Engineer Austin, Texas, United States 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 Ambiq is seeking an Edge AI Firmware Engineer to build and optimize the embedded software stack that powers real-time, battery-powered on-device AI. You will develop Ambiq's AI runtimes, performance-critical operator libraries, and profiling/debug tooling that enable customers to deploy efficient inference on resource-constrained devices. While the cloud has been the default home for AI, the next frontier is distributing intelligence everywhere-directly onto real-world devices. Edge AI enables real-time responsiveness, stronger privacy, lower bandwidth cost, and reliable operation even without connectivity. This role helps accelerate the shift to on-device intelligence

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