EDUCATION

• A bachelor’s degree in computer science or a related field requires at least 2 years of relevant experience. A master’s degree or PhD in related topics is highly desirable

REQUIRED SKILLS/ABILITIES

• Experience writing CPU kernels leveraging vector accelerators such as Arm Helium, Arm Neon, or Intel AVX. Past work with CUDA, OpenCL, or other low-level kernel development environments is a plus.
• Experience with AI model performance profiling.
• Experience with embedded C or C++
• Experience with Keras and Tensorflow (TFLite, TFLite for Microcontrollers).

BONUS QUALIFICATIONS

• Experience with compiler development
• Experience with developing for embedded NPUs
• Past TinyML/EdgeAI involvement or experience
• Experience developing and optimizing for TFLite for Microcontrollers
• Experience with model-to-binary compilers (IREE, MicroTVM, etc)
• Experience with ONNX, TOSA, Jax, LLVM, and/or MLIR
• Experience with optimizing for heterogeneous AI compute (e.g., CPU+NPU+DSP)

• Optimize embedded AI runtimes such as Tensorflow Lite for Microcontrollers to utilize Ambiq’s hardware products efficiently.
• Develop advanced inference performance profiling tools to help customers identify optimization targets and solutions.
• Develop novel, ahead-of-time AI model inference compilers to achieve better power, latency, and memory performance incorporating state-of-the-art pruning and quantization techniques.
• Develop training-side tools and libraries to help AI developers identify neural architectures that optimally run on Ambiq’s platforms.
• Publish and maintain these tools, including documentation and other assets our customers need to bootstrap their internal AI features.
• Socialize their achievements via conferences, meetups, workshops, and publications.
  Requirements: