CAD and PPA Methodology Engineer

Job Title

As a member of the Graphics team, the successful applicant will help develop new flows/methodologies and algorithms to improve power, performance and area (PPA) on state-of-the-art GPU cores while working closely with the graphics microarchitecture design and implementation teams.

The successful candidate will possess basic understanding of RTL design and ASIC design flow from RTL to GDS such as synthesis, static timing analysis, formal verification, physical design, ECO generation and verification. They will collaborate with multiple functional teams including design, technology, power, implementation, sign-off and post-silicon to drive PPA improvements into GPU cores. Knowledge and experience in the following is a definite advantage:

• Implementation and delivery of GPU cores from RTL to GDSII
• Semi-custom design flow and methodology development
• Identifying areas for flow and process improvements
• Verilog and System-Verilog languages
• RTL synthesis using physically aware tools
• Design constraint management for power, timing, clocking, interfaces
• Formal Verification for RTL-netlist and netlist-netlist checks
• Clock Tree Analysis and Optimization
• ECO methods for functional and timing fixes
• Managing design goals and tradeoffs in power, performance, and area

Preferred Qualifications:

• At-least 5-7 years of experience developing methodologies for PPA improvement
• Basic understanding of digital design and RTL development
• Hands on experience with EDA tools such as Synopsys Fusion Compiler, Synopsys RTL-Architect, Prime Power, Prime Time and Prime Closure
• Script writing experience in UNIX shell, Python, Perl and/or TCL
• Excellent interpersonal and analytical skills as well as ability to work independently
• Highly motivated, excellent team spirit, obsession with deliverable quality and customer oriented

Minimum Qualifications:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Pay range and Other Compensation & Benefits: $ - $