Cerebras has developed a radically new chip and system to dramatically accelerate deep learning applications. Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation.

We are innovating at every level of the stack – from chip, to microcode, to power delivery and cooling, to new algorithms and network architectures at the cutting edge of ML research. Our fully-integrated system delivers unprecedented performance because it is built from the ground up for deep learning workloads.

About The Role

As a MTS (ML Product Validation), you will influence better ML software design, promote proper engineering practices, scalability and other advanced product concepts. The position will play a huge role in the quality of Cerebras software. We are looking for technical leads that have a broad set of skills and who are ready to tackle the biggest at-scale problems in HW-based deep learning accelerators.

Responsibilities

• Help identify weak spots and potential product improvements and drive the software organization towards quality 
• Implement creative ways to break Cerebras software and identify potential problems
• Contribute to developing SW specifications with a focus on ML products

Skills & Qualifications

• Master’s degree in Computer Science or EE with 10-12+ years of industry experience
• Experience in product validation for compute/machine learning/networking/storage systems within a large-scale enterprise environment
• Ability to take responsibility for monitoring product development and usage at all levels with an end goal toward improving quality
• Strong knowledge of software system design and Python
• Knowledge of ML workflows

Preferred

• Familiarity with Large Language models and parameters
• Prior experience in product validation for HW systems involving ASICs or FPGAs

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 2024.

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