The 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, executing hands-on debugging for embedded systems.
This role is 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 help extend the SDK to cover new MCU members of the family as they become available.
Responsibilities
Collaborate with software architects to define and evolve the Hardware Abstraction Layer (HAL) and graphics software, including API, middleware, and UI frameworks for the embedded GPUs on Ambiq MCUs.
Lead the design, implementation, and maintenance of GPU HAL and integration of Display HAL layers.
Develop, integrate, and optimize graphics middleware, including OpenGL ES and vector graphics implementations, and integrate with graphics UI frameworks such as LVGL.
Investigate and improve rendering performance, memory usage, and power efficiency; resolve issues across the CPU, GPU, memory, and display paths.
Develop and maintain example applications, benchmarks, 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.
Support Design Verification (DV), System Test teams, field engineers, and key customers as needed.
Qualifications
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 UI frameworks such as LVGL.
Experience with vector graphics acceleration or software libraries, such as OpenVG, 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.
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.
Strong hands-on experience with lab equipment such as oscilloscopes and logic analyzers for debugging.
Experience with using AI tools such as Cursor or OpenAI’s Codex to develop test code or debug issues is a plus
Experience with Jira, Confluence, and collaboration tools.
Experience with source code control systems (git) required.
Understanding software testing and test automation principles.
Excellent problem-solving skills dealing with complex system-level issues related to HW/SW debug.
Scripting language experience is required, and Python experience is desirable.
Strong communication and documentation skills.
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.
