ASIC RTL lead Design Engineer - FullTime/GreenCard OR USC/Milpitas CA - Jobspro Staffing

Title: ASIC RTL Design Engineer:

US Citizen or green card/  ONSITE

Location: Milpitas, California - Onsite (Relocation Assistant available)

Requirements:

• MS with 6+ years of experience or PhD in EE with emphasis on RTL/SoC/digital design
• Understanding of the design flow. Ability to work with the backend team
• Experience in:
• • Verilog and system Verilog
  •  VCS, Verdi or other industry standard tools
  •  pre-layout simulation and post-layout simulation
• Familiar with
• • AMBA APB AXI Protocol
  •  RISC/Arm or other core architectures
• Ability to work in a startup environment, and to work both independently and as a team player with the ability to provide technical leadership to other members of the engineering team

Responsibilities:

• Lead RTL design, simulation, and verification efforts for ASIC/SoC products, ensuring robust and efficient designs
• Integrate and validate IP blocks within the larger system, ensuring seamless functionality and compatibility
• Thoroughly comprehend both internal and external requirements, conducting Power, Performance, and Area (PPA) analysis to optimize design trade-offs
• RTL design, simulation and verification for ASIC / SoC products
•  comprehend  internal and external requirements, conducting Power, Performance, and Area (PPA) analysis to optimize design trade-offs
• IP integration and validation
• Provide crucial support for Post-Si testing and validation, diagnosing and rectifying issues to ensure the overall functionality and quality of the product
• Play a mentorship role by guiding and coaching junior engineers, sharing expertise and best practices to foster their professional growth Collaborate closely with the backend team, participating in RTL coding, implementation, and synthesis stages to ensure successful tape out
• Understand internal and external requirements, PPA study, RTL coding, implementation and work with backend team
• Develop reusable internal IPs for AI and/or in-memory computing