Edge AI Software Architect (Embedded)

TL;DR

Edge AI Software Architect (Embedded): Developing and optimizing embedded ML inference engines for microcontrollers with an accent on model performance and resource efficiency. Focus on training and fine-tuning models using TensorFlow and PyTorch for deployment on low-power, memory-constrained devices.

Location: Beijing

Company

hirify.global is a global leader in secure connectivity solutions for embedded applications.

What you will do

• Develop and optimize embedded ML inference engines for microcontrollers.
• Train and fine-tune machine learning models using TensorFlow and PyTorch.
• Implement techniques to improve model performance on resource-constrained devices.
• Collaborate with cross-functional teams to integrate ML solutions into embedded systems.
• Conduct research on new machine learning techniques for embedded applications.
• Optimize algorithms to meet strict performance and resource constraints.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Strong experience with TensorFlow and PyTorch for model training and deployment.
• Proficiency in C, C++, and Python.
• Extensive experience in embedded software development and machine learning.
• English proficiency required for reading technical research papers.
• Must be based in Beijing.

Nice to have

• Proven experience deploying ML models to embedded devices.
• Familiarity with embedded systems, microcontrollers, and RTOS.
• Deep understanding of software development life cycles.
• Expertise in optimization techniques for low-power and low-latency models.