# Machine Learning System Hardware Architect

Hiring organization: [Baidu](https://career.thegoodapps.co/organizations/baidu)

Canonical page: https://career.thegoodapps.co/jobs/5a1905b4-2576-48a2-bddd-2fc27e89b629

Listed on Baidu's own careers site. Applications go to them directly.

- Seniority: Senior
- Location: Sunnyvale, CA

## Summary

Baidu is seeking an experienced hardware architect to design machine learning acceleration systems for their Kunlun AI SoCs, optimizing performance and power across distributed training platforms. This role suits someone with deep expertise in ML hardware acceleration and a track record of bridging hardware architecture with software optimization.

_Our summary, not Baidu's wording._

## Skills named

Automotive Ethernet, C++, PaddlePaddle, PyTorch, TensorFlow

## Required

- 5+ years architecting hardware for machine learning and acceleration
- Knowledge of machine learning market trends and software ecosystem
- Experience with deep learning frameworks
- Experience with CPUs, GPUs, memory systems, and accelerators
- Performance simulation and modeling experience
- SoC interconnect and NoC experience
- Area, frequency, and power optimization experience
- MS or PhD in Electrical or Computer Engineering
- English and Chinese fluency

## Nice to have

- Track record of outreach to ML researchers and developers
- Familiarity with video, DSP, Ethernet, and PCIe technologies

Apply on Baidu's site: https://job-boards.greenhouse.io/baidu/jobs/3226162