Principal Edge AI Firmware Engineer
Ambiq Micro, Inc.Responsibilities
- Develop and support HeliaRT and HeliaAOT embedded AI runtimes with emphasis on portability, correctness, performance, and usability.
- Implement and optimize ML operator kernels and embedded libraries for DSP, vector, and NPU acceleration, including HeliaDSP and HeliaCore.
- Build on-device profiling and performance-analysis tools using PMU counter data.
- Optimize latency, memory footprint, bandwidth, and energy consumption through compute and memory-hierarchy analysis.
- Develop benchmark harnesses, microbenchmarks, and regression tests for numerical correctness and performance stability.
- Enable customer integration across bare-metal, FreeRTOS, and Zephyr environments and maintain documentation, guides, examples, and benchmarks.
- Improve runtime memory planning and efficiency while managing upstream and fork health.
Requirements
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, plus 12+ years of relevant experience, or equivalent practical experience.
- Strong experience designing, developing, and testing embedded software in C/C++.
- Strong debugging practices focused on correctness, reproducibility, and preventing performance regressions.
- Understanding of compute, memory, bandwidth, cache effects, deterministic latency, and energy efficiency in constrained systems.
- Ability to interpret datasheets and reference manuals; schematic experience is a plus.
- Proficiency with Git or equivalent version control.
- Experience with Arm toolchains, GDB, J-Link or SEGGER-class probes, and CMake or Make build systems.
- Python experience for profiling, analysis, automation, or developer utilities is preferred.
- Rust experience is preferred.
- Familiarity with TensorFlow Lite for Microcontrollers or similar embedded inference runtimes is preferred.
- Experience optimizing embedded DSP, vector-extension, or NPU targets is preferred.
- Familiarity with CMSIS-NN, CMSIS-DSP, Vela, quantized inference, CMSIS-Pack, or CPM.cmake is preferred.
- Lab measurement experience involving power or debugging with basic bench tools is preferred.
- Must be currently authorized to work in the United States for any employer.
About Ambiq Micro, Inc.
Ambiq® was founded in 2010 on the simple yet powerful notion that extremely low-power semiconductors are the key to the future of electronics. Through the use of pioneering ultra-low power technology, innovative companies around the world are developing differentiated solutions that reduce or eliminate the need for batteries, reduce overall system power and maximize industrial design flexibility. Our mission is to enable intelligence (artificial intelligence (AI) and beyond) everywhere by delivering the lowest power semiconductor solutions. We enable our customers to deliver artificial intelligence compute at the edge where power consumption challenges are the most profound. Our technology innovations, built on the patented and proprietary subthreshold power optimized technology (SPOT), fundamentally deliver a multi-fold improvement in power consumption over traditional semiconductor designs. We’ve powered over 270 million devices today. As we see the shift in devices move from “smart” to “AI,” our technology and solutions have evolved to accommodate the power requirements needed to enable feature rich devices that are always on, high performing, secure, accurate, energy efficient, and just as important practical. Our leadership in powering devices made for edge AI has helped technology innovators across wearable, smart home and buildings, industrial, healthcare, and other sectors deliver intelligent devices that can do more while consuming less. For more information, visit www.ambiq.com.