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Listed on Baidu’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
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. The full posting is on their site.
Skills this role names
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What they ask for
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