Computer Vision System Engineer

What you'll do

• Map computer vision and deep learning models to mobile AI accelerators and heterogeneous compute platforms.
• Develop deep learning engine and accelerator architectures, including compute, dataflow, memory, quantization, and HW/SW partitioning.
• Model workloads and evaluate performance, power, thermal, memory bandwidth, and silicon area trade-offs.

What they ask for

• Bachelor’s degree in a related field and 2+ years of related work experience; or a master’s degree and 1+ year; or a PhD in a related field.
• Expertise in system architecture and HW/SW partitioning for computer vision and AI workloads.
• Experience defining real-time hardware architectures and evaluating system trade-offs for computer vision and deep learning workloads.
• Strong C/C++ and Python programming skills, with hands-on algorithm prototyping and performance analysis experience.

Nice to have

• Multiple years of experience developing mobile computer vision and AI systems.
• Knowledge of modern neural network architectures, including CNNs, Transformers, Vision Transformers (ViTs), and multi-modal perception systems.

Pay

$129,500.00 - $194,300.00 USD base salary

Tools

CPUs, GPUs, DSPs, NPUs, C/C++, Python, CNNs, Transformers

AI focus

Architects and optimizes mobile AI accelerators and deep learning engines for computer vision, perception, segmentation, tracking, computational photography, and related AI workloads.