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.
The Role:
In this exciting role, you will be responsible for bring up and optimizations of Cerebras’s Wafer Scale Engine (WSE). Suitable candidate will have experience delivering end to end solutions working closely with teams across chip design, system performance, software development and productization.

Responsibilities:
On Wafer Scale Engines,



develop and debug flows that embed well tested and deployable optimizations in production processes to reduce time and costs
Work on refining AI Systems across H/W-S/W design constraints such as di/dt, V-F characterization space, current and temperature limits in relation to optimizations for performance.
Develop/Enhance infrastructure to enable silicon for real world workload testing
Develop self-checking metrics, as well as instrumentation for debug and coverage
Work with the silicon architects/designers, performance engineers and software engineers to enhance performance of Wafer Scale Engines.
Work across domains such as, Software, Design, Verification, Emulation & Validation to refine and optimize performance and process.
Work with CI/CD tools, git repositories, github, git actions/Jenkins, merge and release flows to streamline test and release.
Skills & Qualifications:
BS/BE/B.Tech or MS/M.Tech in EE, ECE, CS or equivalent work

📌 Senior/Staff Engineer (Bengaluru)
🏢 Cerebras Systems
📍 Bengaluru