Cerebras
Physical Design Engineer
Sunnyvale, CA. Posted 5 months ago
The role
You will drive high-impact PPA strategy by shaping power, performance, and area tradeoffs. You will own all disciplines of physical design and implementation from RTL to tapeout.
What you will do
- Drive high-impact PPA strategy
- Shape power, performance, and area tradeoffs in collaboration with the RTL team
- Own all disciplines of physical design and implementation from RTL to tapeout
- Ensure blocks integrate seamlessly into full-chip architecture
- Optimize for the best power, performance, and area
- Resolve block and full-chip DRC and LVS issues
- Perform IR/EM analysis and resolution
- Work with RTL teams to optimize for physical design
Required qualifications
- 7+ years of physical design & physical verification experience
- Strong knowledge of block level and full-chip physical verification methodology
- Strong experience in block/subsystem timing closure
- Expert at optimizing for the best power/performance and area
- Experience with the complete physical design flow
- Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues
- Expert with IR/EM analysis and resolution
- Strong background in STA, constraint drafting and timing convergence at block, partition and fullchip
- Demonstrate and raise the bar for ownership and deep dive
- Strong fundamental understanding of PD concepts
- Good understanding of full chip floor planning and integration
- Strong ability in scripting languages like Tcl and Python
Nice to have
- Knowledge of high speed CPU/GPU design
- Experience with high-speed IO design and 3rd party IP integration
- Block/partition PD, PDV, IR
- Knowledge of Synopsys tool suite
Benefits
- Build a breakthrough AI platform beyond the constraints of the GPU
- Publish and open source cutting-edge AI research
- Work on one of the fastest AI supercomputers in the world
- Job stability with startup vitality
- Simple, non-corporate work culture that respects individual beliefs
About the company
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.