Ambiq Micro, Inc. Verified 16h ago
Principal Edge AI Firmware Engineer
Austin, Texas, United States On-site
Salary not listedPaySalary not listed
TypeNot specified
Work settingOn-site
Verified listing
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About the role
We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency. Ambiq is seeking an Edge AI Firmware Engineer to build and optimize the embedded software stack that powers real-time, battery-powered on-device AI. You will develop Ambiq’s AI runtimes, performance-critical operator libraries, and profiling/debug tooling that enable customers to deploy efficient inference on resource-constrained devices.
What you'll bring
- BS in Electrical/Computer Engineering, Computer Science, or related field + 12+ years relevant experience (or equivalent practical experience).
- Strong experience designing, developing, and testing embedded software in C/C++.
- Strong debugging discipline with an emphasis on correctness, reproducibility, and performance regression prevention.
- Solid understanding of compute, memory, and bandwidth/cache effects on deterministic latency and energy efficiency in constrained systems.
- Ability to interpret hardware/software documentation (datasheets, reference manuals
- Proficiency with Git (or equivalent version control).
- Efficient use of AI-assisted development tools to improve productivity while maintaining engineering rigor.
- Experience with embedded development workflows: Arm toolchains, GDB + J-Link/SEGGER-class probes, and CMake/Make build systems.
- MS is a plus, especially in embedded systems, compilers, computer architecture, or ML systems.
- Python for profiling/analysis tooling, automation, and developer utilities.
- Rust experience.
- Familiarity with TensorFlow Lite for Microcontrollers (or similar embedded inference runtimes).