Machine Learning System Hardware Architect (AI)

Location: Sunnyvale, California, United States; onsite at hirify.global’s Sunnyvale office

Company

hirify.global develops AI technologies and Kunlun machine learning SoCs for high-performance distributed AI workloads.

What you will do

• Architect and create high-performance machine learning silicon for the Kunlun AI SoC roadmap.
• Develop system-level ML architectures optimized for performance, power, and latency.
• Architect, simulate, and design solutions for distributed AI training across thousands of Kunlun Accelerators.
• Build scalable tools for architectural modeling and performance evaluation, including power, performance, and cost analysis.
• Collaborate with software, SoC design, verification, and validation engineers to optimize the complete hardware/software stack.
• Track academic and industry AI trends and drive partnerships with researchers and application developers.

Requirements

• 5+ years of experience architecting hardware solutions for machine learning, acceleration, and optimization.
• Experience with CPUs, GPUs, memory systems, accelerators, SoC interconnects, and NoCs.
• Experience with performance simulation and modeling in C++.
• Experience optimizing area, frequency, and power; familiarity with video, DSP, Ethernet, and PCIe.
• Experience with deep learning frameworks including TensorFlow, PyTorch, or PaddlePaddle.
• Excellent communication skills in both English and Chinese; MS or PhD in Electrical or Computer Engineering required.

Culture & Benefits

• Work in a highly technical AI hardware environment.
• Collaborate in small, fast-moving teams.
• Self-directed work with opportunities to learn new skills and grow.
• Contribute to a mission focused on advancing AI silicon and systems.