Description:

Cerebras Systems builds the world's largest AI chip, which is 56 times larger than GPUs.
The company's wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, simplifying programming.
Cerebras delivers industry-leading training and inference speeds, enabling users to run large-scale ML applications without managing multiple GPUs or TPUs.
Current customers include global corporations, national labs, and top-tier healthcare systems.
The company has a multi-year partnership with Mayo Clinic to transform AI applications across various fields.
Cerebras launched the fastest Generative AI inference solution, which is over 10 times faster than GPU-based hyperscale cloud inference services.
The role involves joining a physical design team to synthesize, place, and route high-speed designs, collaborating with the RTL team for full-chip architecture integration.

Requirements:

Candidates must have 10+ years of physical design and physical verification experience.
A strong knowledge of block level and full-chip physical verification methodology is required.
Candidates should have strong experience in block/subsystem timing closure.
Expertise in optimizing for the best power/performance and area is necessary.
Experience with the complete physical design flow is required, and knowledge of the Synopsys tool suite is a plus.
Candidates must be expert with ICV or Calibre tools for resolving block and full-chip DRC and LVS issues.
Expertise in IR/EM analysis and resolution is required.
A good understanding of full chip floor planning and integration is necessary.
Strong ability in scripting languages like Tcl and Python is required, along with the ability to make flow enhancements.
Demonstrated ability to work with RTL teams to optimize for physical design is essential.
Knowledge of CPU/GPU design is a plus.
Skills in Design Compiler, Fusion Compiler, ICC2, or similar physical design tools are required.
A BS or MS in Electrical Engineering is mandatory.

The salary range for this position is $150,000 – $250,000 annually, with actual compensation based on experience, skills, qualifications, and location.
Employees have the opportunity to build a breakthrough AI platform beyond the constraints of the GPU.
Team members can publish and open source their cutting-edge AI research.
Employees work on one of the fastest AI supercomputers in the world.
The company offers job stability combined with startup vitality.
Cerebras promotes a simple, non-corporate work culture that respects individual beliefs.

Skills