R&D Engineering, Architect

• Responsible for research and development of logical synthesis, netlist partitioning, placement and routing optimizations.
• Responsible for developing, testing and tuning stable ASIC/FPGA CAD/EDA algorithms targeting high quality of results (QoR) such as area, performance, congestion, compile time and power etc.
• Designs, implements, tests, delivers and maintains highly efficient algorithms and data structures.
• Usually developing professional expertise and may apply company policies and procedures to resolve a variety of issues.
• Exercises judgment to determine appropriate action. Implementations and solutions are reviewed for accuracy and overall adequacy.
• Builds productive internal/external working relationships.
• Contacts are primarily within business unit and occasional organizational and external customer contacts on routine matters.

• PhD or master's degree in electrical and/or Computer Engineering with 2+ years or bachelor's degree with 5+ years of relevant experience.
• Solid C++ and problem-solving skills.
• Proficiency in designing data structures, algorithms, and specs for sophisticated software products.
• Solid EDA knowledge and experience in areas such logical and physical synthesis, RTL, simulation, emulation, formal verification etc.
• Experience with FPGAs is a plus.
• Background in Machine Learning/Artificial Intelligence is a plus.
• Background in netlist optimizations for area, performance, congestion, power etc.
• Digital IC design flows (ASIC and FPGA)
• Skillful in using script languages such as TCL, Python, Perl, Unix shell scripts.
• Experience with developing software into a large code bases desired
• Original research publications in the area of computer engineering / electronic design and verification field is a big plus.
• Familiarity with industrial standard SW development and quality practices.
• Results-driven, agility, integrity and teamwork. Desire to learn and explore unfamiliar concepts, tools and techniques.
• Excellent communication skills, verbal and written. Ability to coordinate discussions with other R&D teams.

Synopsys