Senior Software Engineer, Machine Learning Inference

Syntiant Corp., a pioneering company in the AI software and semiconductor solutions space, is seeking a Senior Software Engineer specialized in Machine Learning Inference. This role presents an exciting opportunity as the company has recently entered into an agreement to acquire a large, multi-national sensor business with global revenues exceeding $250 million annually.

The position involves developing core building blocks that power computer vision, speech, and other application-specific APIs. Syntiant's unique approach to machine learning emphasizes computational and numerical efficiency, achieving significant improvements over current state-of-the-art solutions. The role requires expertise in developing and optimizing high-performance software for various hardware platforms including CPUs, DSPs, NPUs, and GPUs.

As a Senior Software Engineer, you'll be responsible for profiling and optimizing inference code for edge devices, focusing on power efficiency, latency, and throughput. You'll develop sophisticated tools for benchmarking AI models on resource-constrained platforms and implement cutting-edge ML models with a strong emphasis on computational efficiency.

Founded in 2017 and headquartered in Irvine, California, Syntiant has established itself as a leader in edge AI deployment solutions. The company's technology is being deployed globally across various consumer and industrial applications, from earbuds to automobiles. Syntiant's innovative approach combines deep learning with semiconductor design to produce ultra-low-power, high-performance neural network processors.

The ideal candidate will bring strong expertise in C/C++ programming, deep understanding of machine learning frameworks, and extensive experience with performance optimization. You'll work with a talented team, collaborating with hardware architects to co-optimize software and hardware solutions. This role offers competitive compensation, with a base salary range of $180,000 to $230,000, and the opportunity to work on cutting-edge technology that's reshaping the future of edge AI computing.