Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About The Role
As our team grows Cerebras is looking for a world class physical design engineer. We are looking for a robust learner who can learn how we do PD and integration of our wafer scale design.
As a member of our tight knit physical design team, you will perform a variety of physical design tasks such as synthesis, place and route, timing and block closure / sign off.



You will be involved in all aspects of physical design and implementation. You will work closely with the RTL team and with full-chip integration of these blocks.
Skills and Qualifications:
7+ years of physical design/verification experience.
Robust experience in block/subsystem timing closure.
Robust ability to learn and grow with the team.
Strong knowledge of block level and full-chip physical verification methodology.
Expert at optimizing for the best power/performance and area.
Experience with block physical design, PDV and IR.
Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues.
Expert with IR/EM analysis and resolution.
Good understanding of full chip floor-planning and integration.
Robust ability in scripting languages like Tcl and Python. Ability to make flow enhancements.
Demonstrated ability to work with RTL teams to optimize for physical design

📌 Physical Design Engineer Bengaluru
🏢 Cerebras Systems
📍 Bengaluru