Job Description:
Design cost effective controller with high performance, low power and small area for cellular modem. This position will work with multi-nation teams in leading-edge process node and be involved in:
- Perform CPU development and design integration for CPU subsystem.
- Micro-architecture and design of RISC based CPU.
- Explore latest technologies in processor for 5G application.
Minimum Qualifications:
- Master Degree in Electrical Engineering, Computer Science or Computer Engineering.
- At least 3 years of CPU related Architect/RTL/Verification/Implementation design experience
- Knowledge and practical experience with common RISC CPU architecture.
- Ability to bring design concept to successful silicon
Preferred Qualifications:
- PhD in Electrical Engineering, Computer Science or Computer Engineering is a PLUS.
- 5+ years of CPU related Architect/RTL/Verification/Implementation design experience
- Familiarity with CPU architecture knowledge and micro-architecture knowledge
- Familiarity with chip digital design flow, including RTL integration, simulation, STA, clock tree, or low power design
- Familiarity with Symmetric Multi-threading (SMT), ARM/MIPS CPUs, or RISC-V.
- Familiarity with Symmetric Multi-processing (SMP) and Snoop-based multi-processor architecture.
- Cross-site working experience is a PLUS.
- Experience with Foundry, Post-Silicon, FPGA, DVT, SLT debug is a PLUS.
#LI-DNI
Top Skills
Baidu Sunnyvale, California, USA Office
1195 Bordeaux Drive, Sunnyvale, CA, United States
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine