Responsibilities:
• Architect, design and implement new features, performance improvements, and ISA extensions in RISC-V CPU core generators.
• Microarchitecture development and specification. Ensure that knowledge is shared via great documentation and participation in a culture of collaborative design.
• Perform initial sandbox verification, and work with design verification team to create and execute thorough verification test plans.
• Work with physical implementation team to implement and optimize physical design to meet frequency, area, power goals.
• Collaborate with performance modelling team for performance exploration and optimization to meet performance goals.
Requirements:
• 8+ yrs of recent industry experience in high-performance, energy-efficient CPU designs.
• Expertise in CPU processor designs in one or more of the following areas: instruction fetch and decode; branch prediction; register renaming and instruction scheduling; scalar and/or vector execution units; load-store unit; cache and memory subsystems.
• Knowledge of RISC-V architecture is a plus.
• Proficiency with hardware (RTL) design in Verilog, System Verilog, or VHDL.
• Experience with Scala and/or Chisel is a plus.
• Attention to detail and a focus on high-quality design.
• Ability to work well with others and a belief that engineering is a team sport.
• Knowledge of at least one object-oriented and/or functional programming language.
• Background of successful CPU development from architecture through tapeout.
• MS/ PhD degree in EE, CE, CS or a related technical discipline, or equivalent experience.
#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