R&D Engineer, AI/ML & HPC — Wafer-Scale AI

Cerebras Systems; Binangonan; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Cerebras Systems, the world’s leader in wafer-scale AI processors, seeks an R&D Engineer to design workloads on the Wafer-Scale Engine and push performance beyond conventional GPUs.

You will collaborate with ASIC, compiler, kernel, and AI teams and partner with universities and national labs to explore new architectures and novel benchmarks. Join a small, autonomous team pushing unprecedented AI hardware performance.

Qualifications

• PhD preferred; exceptional candidates without a degree may qualify with published research or strong industry track record.
• Deep experience in computer architecture and accelerator design or HPC, numerical methods, AI/ML theory.
• Ability to model and optimize performance of complex systems and algorithms.
• Track record of published research or patents in relevant venues.
• Proficiency in C and Python; comfortable close to hardware.
• Excellent communication and collaboration across fast-paced teams.

Responsibilities

• Design and implement challenging scientific computing and AI workloads on Cerebras’ Wafer-Scale Engine.
• Lead algorithm–hardware co-design with internal and external partners to gain application-level advantages.
• Build analytical performance models to quantify bottlenecks and guide optimization.
• Contribute to the technology roadmap by identifying high-impact workloads and validating on silicon.
• Publish findings and present at top-tier conferences and journals; represent Cerebras in HPC/AI communities.

Skills

C

Python

Education

PhD in Computer Science, Engineering, Applied Mathematics, Physics, or related field

Job description

Cerebras Systems, the world’s leader in wafer-scale AI processors, seeks an R&D Engineer to design workloads on the Wafer-Scale Engine and push performance beyond conventional GPUs.

You will collaborate with ASIC, compiler, kernel, and AI teams and partner with universities and national labs to explore new architectures and novel benchmarks. Join a small, autonomous team pushing unprecedented AI hardware performance.