ML Systems Performance Engineer (Bengaluru)

ML Systems Performance Engineer (Bengaluru)

13 Aug
|
Cerebras Systems
|
Bengaluru

13 Aug

Cerebras Systems

Bengaluru

Job Description

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

Engineers on the inference performance team operate at the intersection of hardware and software, driving end-to-end model inference speed and throughput. Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation,



and the development of tooling for performance projection and diagnostics.

Responsibilities
- Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models.
- Optimize and debug our kernel micro code and compiler algorithms to elevate ML model inference speed, throughput and compute utilization on the Cerebras WSE.
- Debug and understand runtime performance on the system and cluster.
- Develop tools and infrastructure to help visualize performance data collected from the Wafer Scale Engine and our compute cluster.

Requirements
- Bachelors / Masters / PhD in Electrical Engineering or Computer Science.
- Robust background in computer architecture.
- Exposure to and understanding of low-level deep learning / LLM math.
- Strong analytical and problem-solving mindset.
- 3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC).
- Experie

📌 ML Systems Performance Engineer (Bengaluru)
🏢 Cerebras Systems
📍 Bengaluru

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