Staff Engineer - Embedded Graphics Software

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Learning budget

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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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Schedule

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Weekend work

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Application

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Deadline

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About this role

Staff Engineer - Embedded Graphics Software 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 As the Staff Embedded Graphics Software Engineer at Ambiq, you will drive the development and testing of AmbiqSuite SDK on Ambiq SoC devices and emulation platforms, focusing on the graphics processing unit (GPU) HAL and the graphics stack for Ambiq's mainstream and next-generation MCU. This role works within our global MCU software development team and will work closely with the architecture team and the local MCU SoC design team, focusing on MCU graphics software development and test activities. The successful candidate should be a fast-learning, result-driven, and self-motivated

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