Staff Engineer - Embedded Graphics Software

Reposted 15 Days Ago
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Austin, TX, USA
In-Office
Senior level
Hardware • Internet of Things • Software • Wearables • Semiconductor
Enabling all battery-powered mobile and portable IoT endpoint devices to be intelligent and energy-efficient.
The Role
Lead development and testing of Ambiq's embedded graphics SDK and GPU HAL for MCU platforms. Design, implement, and maintain graphics APIs, GPU and display HALs; develop example apps and tests; perform pre-silicon FPGA verification, post-silicon bring-up, system validation, and hands-on debugging; support DV, field engineers, and customers.
Summary Generated by Built In

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 team player with an “always learning” mindset. He should possess an inquiring spirit and be comfortable working in a lab environment, with the ability to execute hands-on debugging for embedded systems. 

The person in this role will be responsible for maintaining the current platform and extending the GPU hardware adaptation layer (HAL) and software stack of the graphics SDK to new platforms as well as enhancing its features and content. The candidate will be involved in the extension of the SDK to cover new MCU members of the family as they become available.    Responsibilities 
  • Collaborate with software architects to define the Hardware Abstraction Layer (HAL) and graphics API for the embedded GPU on Ambiq MCUs. 
  • Lead the design, implementation and maintenance of the graphics API and the underlying graphics software stack. 
  • Lead the design, implementation and maintenance of GPU and Display HAL layers. 
  • Develop and maintain example applications and test cases to demonstrate and validate graphics features. 
  • Play a key role in GPU-focused pre-silicon verification on FPGA platforms, as well as post-silicon bring-up, system validation, and debugging. 
  • Provide support to Design Verification (DV), system validation teams, field engineers, and key customers as needed. 
Requirements
  • MS in ECE or Computer Science and 6+ years of experience or BS ECE/CS with 8+ years of experience. 
  • Strong expertise in at least one embedded GPU IP, with a solid understanding of the full graphics pipeline and hands-on experience developing HAL and graphics software stacks. 
  • In-depth experience with OpenGL ES or other 3D graphics APIs. 
  • Experience with graphics frameworks such as LVGL. 
  • Experience with vector graphics acceleration or software libraries is preferred.
  • Experience with embedded system display interfaces, such as MIPI DSI, DBI, DPI, or Memory-In-Pixel. 
  • In-depth knowledge of ARM architecture, with a preference for M-profile (Cortex-M) cores preferred. 
  • Strong understanding of embedded RTOS concepts; experience with Zephyr and FreeRTOS is preferred. 
  • Experience with developing embedded MCU code in C and assembly language on Arm Cortex-M Processors, with at least one MCU IDE from ARM, Keil, IAR, Eclipse, O-zone, or other. 
  • Good hands-on experience with lab equipment such as oscilloscopes, logic analyzers, etc., for debugging issues.  

Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.

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The Company
Austin, Texas
220 Employees
Year Founded: 2010

What We Do

Ambiq makes unprecedented energy-efficient SoCs and ultra-low power platform solutions that enable edge AI on billions of battery-powered devices. Our mission is to put intelligence everywhere by delivering the lowest-power semiconductor solutions on the planet. With SPOT® technology and the Apollo SoC family, Ambiq empowers innovators to build smarter, longer-lasting wearables, IoT, smart home, healthcare, and industrial devices. Ambiq has helped leading manufacturers worldwide develop products that last weeks on a single charge (rather than days) while delivering a maximum feature set in compact industrial designs. Ambiq's goal is to take Artificial Intelligence (AI) where it has never gone before in mobile and portable devices, using Ambiq's advanced ultra-low power system on chip (SoC) solutions. Ambiq has shipped more than 200 million units as of March 2023. The next generation of AI will not depend on constant cloud connectivity. It will run directly on ultra-low-power silicon in wearables, sensors, and embedded systems. At Ambiq, we design and ship production silicon that enables: Real-time inference on constrained devices Models optimized to run in tens of KB Extreme power efficiency for battery-operated systems Deep hardware/software co-design This is not research. It’s deployed technology.

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

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