Model Optimization Engineer – Dubai

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

About the Role:

Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available.

Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount of available compute.

You will be part of the team that works with latest open and closed generative AI models to optimize for the Cerebras inference platform. Your responsibilities will include working on model representation, optimization and compilation stack to produce the best results on Cerebras current and future platforms.

Job Responsibilities

• Analyze emerging models and techniques in the generative AI domain to assess their implications for model optimization.
• Design, implement, and evaluate novel model optimization algorithms for large-scale neural networks.
• Conduct research to develop new methods that enhance inference efficiency and performance on Cerebras systems.
• Collaborate closely with hardware, compiler, and ML framework teams to drive end-to-end optimization improvements.
• Benchmark, profile, and document results to inform future architecture and software decisions.

Requirements

• Degree in Computer Science, Engineering, or related field, or equivalent practical experience with demonstrated exceptional ability.
• Strong foundation in machine learning theory, algorithms, and optimization techniques.
• Proven experience developing high-performance ML workloads using Python, and either Triton or CUDA for GPU or accelerator programming.
• Proficiency with PyTorch and Hugging Face Transformers, including experience fine-tuning or deploying large language models (LLMs).
• Understanding of model compression, quantization, distillation, or sparsity techniques.

Preferred Qualifications

• Experience optimizing models for specialized hardware (e.g., GPUs, TPUs).
• Publication record or open-source contributions in the fields of model optimization, efficient inference, or compiler-based ML acceleration.
• Strong analytical and experimental skills, with the ability to translate research insights into production-level implementations.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU.

2. Publish and open source their cutting-edge AI research.

3. Work on one of the fastest AI supercomputers in the world.

4. Enjoy job stability with startup vitality.

5. Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2025.

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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