REQUIRED SKILLS/ABILITIES

• Experience with SOTA pruning, distillation, quantization approaches for CNNs and RNNs
• Experience with one or more of the following AI task domains: audio classification, speech, vision, and/or time series tasks, including domain-specific feature extraction related to those tasks
• Tensorflow (TFLite, TFLite for Microcontrollers, and/or PyTorch are a plus)
• Dataset creation and curation

BONUS QUALIFICATIONS

• Past “TinyML” involvement or experience
• Experience developing and optimizing for TFLite for Microcontrollers
• Experience with embedded C/C++ environments
• Experience with compression of attention-based architectures
• Experience with model-to-binary compilers (IREE, MicroTVM, etc)
• Experience with ONNX, TOSA, Jax, LLVM, and/or MLIR
• Experience with optimizing for heterogenous AI compute (e.g. CPU+NPU+DSP)

EDUCATION AND EXPERIENCE

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

Please refer the Job description for details