As a member of verification team, you will work with leading industry tools and design & verification concepts to achieve full functional, performance & power verification closure on a variety of digital design blocks which are a part of the Graphics Core IP (GFXIP).
You will work closely with architects, designers and other design verification engineers to author testplan for pre-silicon verification, planning & development of testbenches to exercise the design, write detailed testplans to cover new blocks and features, drive the development of test-cases and coverpoints or assertions to achieve verification closure.
Key Responsibilities:
Work closely with the architect, RTL designers and other verification engineers to achieve verification closure within project schedules;
Be responsible for functional, power and performance verification of a block, including verification planning, execution and DV closure;
Develop and execute test and coverage plans to ensure the functional, performance and power completeness;
Create, reuse and debug testbenches, verification components and tests for verification of the design;
Be expected to adopt the evolving verification methodologies used in the industry to functionally verify increasingly more complex SoC designs within aggressive, market-driven schedules, and work within the existing verification infrastructure on currently active projects.
Experience and Education:
Minimum 5+ years of verification experience on large ASIC development projects;
Solid understanding of Computer Architecture and Digital Design concepts;
Very strong background in Verilog, System Verilog, C/C++/OOO coding techniques;
Experience working with UVM, OVM or equivalent;
Experience with constrained random verification, functional coverage and assertions;
Experience with formal verification is an added advantage;
Familiarity with one of the scripting languages: perl/tcl/ruby/Bash/python;
Experience working with industry standards tools such Synopsys VCS, VC Formal, DVE, Verdi, GDB or equivalent;
Strong analytical skills and attention to detail;
Bachelor’s (or preferably Master’s) degree in Computer Engineering, Computer Science, Electrical Engineering or similar