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Ambiq is a semiconductor company on a mission to enable intelligence everywhere by powering the AI edge revolution with the world's lowest-power semiconductor solutions. Built on proprietary sub- and near-threshold technology, Ambiq's chips deliver multi-fold improvements in energy efficiency. Since 2010, the company has shipped over 300 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications.
As Staff Embedded Graphics Software Engineer, you will drive the development, integration, and validation of graphics software on Ambiq SoC devices and emulation platforms, focusing on the graphics processing unit (GPU) hardware abstraction layer (HAL) and the graphics stack for Ambiq's mainstream and next-generation microcontroller units (MCUs). You will work within the global MCU software development team, collaborating closely with Architecture, MCU SoC design, Design Verification, and System Test teams to bring graphics capabilities from FPGA emulation platforms to production silicon.
Key responsibilities include:
- Collaborating with software architects to define and evolve the GPU HAL and graphics software, including API, middleware, and UI frameworks for embedded GPUs on Ambiq MCUs
- Leading the design, implementation, and maintenance of GPU HAL and integration of Display HAL layers
- Developing, integrating, and optimizing graphics middleware, including OpenGL ES and vector graphics implementations, and integrating with graphics UI frameworks such as LVGL
- Investigating and improving rendering performance, memory usage, and power efficiency; resolving issues across CPU, GPU, memory, and display paths
- Developing and maintaining example applications, benchmarks, and test cases to demonstrate and validate graphics features
- Playing a key role in GPU-focused pre-silicon verification on FPGA platforms, as well as post-silicon bring-up, system validation, and debugging
- Supporting Design Verification, System Test teams, field engineers, and key customers as needed
The successful candidate should be a fast learner, results-driven, and self-motivated team player with an "always learning" mindset. You should have an inquiring spirit and be comfortable in a lab environment, executing hands-on debugging for embedded systems. This role is responsible for maintaining the current platform and extending the GPU HAL and software stack of the graphics SDK to new platforms, as well as enhancing its features and content. You will help extend the SDK to cover new MCU family members as they become available.
This role is on-site 5 days a week in NW Austin.
**Requirements:**
- MS in ECE or Computer Science with 6+ years of experience, OR BS in ECE/CS with 8+ years of experience
- Strong expertise in at least one embedded GPU IP, with 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 UI frameworks such as LVGL
- Experience with embedded system display interfaces such as MIPI DSI, DBI, DPI, or Memory-In-Pixel
- In-depth knowledge of ARM architecture, with preference for M-profile (Cortex-M) cores
- Strong understanding of embedded RTOS concepts; experience with Zephyr and FreeRTOS preferred
- Experience 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
- Strong hands-on experience with lab equipment such as oscilloscopes and logic analyzers for debugging
- Scripting language experience required; Python experience desirable
- Experience with source code control systems (git) required
- Understanding of software testing and test automation principles
- Excellent problem-solving skills dealing with complex system-level HW/SW debug issues
- Strong communication and documentation skills
- Must be currently authorized to work in the United States; company does not sponsor or take over sponsorship of employment visas
Preferred qualifications:
- Experience with vector graphics acceleration or software libraries such as OpenVG
- Experience with AI tools such as Cursor or OpenAI's Codex to develop test code or debug issues
- Experience with Jira, Confluence, and collaboration tools
