Machine Learning System Hardware Architect

Join our team to revolutionize AI silicon and system, architect and create high-performance machine learning silicon, and develop system-level ML architectures that push the boundaries of performance, power, and latency.

Requirements

• Knowledge of Machine Learning market, technological and business trends, software ecosystem, and emerging applications.
• Proven track record 5+ years architecting hardware solutions for Machine Learning, acceleration and optimization.
• Experience with deep learning frameworks including TensorFlow, PyTorch, PaddlePaddle, etc.
• Strong track record of outreach to ML researchers and application developers.
• Experience with CPUs, GPUs, memory systems, and accelerators.
• Experience with performance simulation and modeling in C++
• Experience with SoC interconnects and NoCs
• Experience with area, frequency, and power optimizations
• Familiarity with video, DSP, Ethernet, and PCIe
• MS or PhD in Electrical or Computer Engineering.
• Excellent communication skills in both English and Chinese.

Benefits

• Mission alignment: If you want to be part of a team to accomplish this great mission, we will provide you the best possible platform to do that.
• Self-directed: We work best with people that are driven, motivated, and aspire to greatness.
• Hungry to learn: We are eager to see you learn new skills and grow.
• Team orientation: We work in small, fast-moving teams. We watch out for each other and go after big goals together as a team.