Senior CAD Developer - Timing and Physical Design Optimization

ASIC-PD team is hiring both junior and senior engineers, whose work scope is physical design from RTL to GSDII: design quality check, synthesis, formal check, partitioning, constraint (for both design and process), async check, timing analysis/fixing/signoff, also all related flow. Join us, you will work together with expertise in all these areas; you will not only work for physical application, but also drive physical friendly design with all related teams: ASIC/P&R/DFT/SI/ARCH etc.; you will work for the most advanced process/technology, the biggest chip in the world.

What You’ll Be Doing:

• Invent and optimize new methods for increasing chip frequency while minimizing power consumption across a suite of internal optimization tools. 

• Improve algorithms (in C++) for gate-level sizing, buffering, useful clock skew, cell legalization, IR drop optimization

• As with any software engineering team, we do write a lot of code, but this is broader than a typical CAD or EDA role. Instead, we as a team own the whole process from discovery and invention of new optimization opportunities, to developing solutions and working directly inside design teams to facilitate deployment.

What We Need To See:

• BS, MS, PhD in Electrical Engineering or Computer Science or equivalent experience

• Minimum 5+ years of relevant experience in CAD software and VLSI hardware design

• Strength in both CAD software and VLSI design

• Understanding of VLSI timing optimization and related concepts, including timing constraints, corners, power, etc.

• Demonstrated ability in software development using C++

• Familiarity with design implementation tools such as PrimeTime, Tempus, ICC2, Innovus, SeaHawk, and typical design flows written in Perl, Tcl, and Python.

• Strong communication and interpersonal skills

Ways To Stand Out From The Crowd:

• C++14 or newer experience, such as lambdas and concurrency

• Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc.

• Experience in IR drop optimization, calculation