CoDesign & NextGen Performance Engineer
About the role
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
This role focuses on characterizing, analyzing, and optimizing the performance of state-of-the-art AI models running on Cerebras’ breakthrough hardware. You will work across the hardware and software stack to identify bottlenecks, improve computational efficiency, and help influence the design of Cerebras’ next-generation AI architecture and software systems.
Responsibilities
Bring up and optimize performance on new generations of the Cerebras WSE. 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.
Skills & Qualifications
Bachelors / Masters / PhD in Electrical Engineering or Computer Science. Strong 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). Experience working on CPU/GPU simulators. Exposure to performance profiling and debug on any system pipeline. Comfort with C++ and Python.
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: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here! 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. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Not the right fit? Search for CoDesign & NextGen Performance Engineer jobs in Toronto, Ontario, Canada
About Cerebras Systems
Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, functional business experts and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art.
The CS-3 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-3). The WSE-3 is the largest chip ever built. It contains 4 trillion transistors and covers more than 46,225 square millimeters of silicon. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, models that in the past took months to train, can now train in minutes on the Cerebras CS-3 powered by the WSE-3. Additionally, Cerebras accelerates inference of large models, enabling instant results.
Join us: https://cerebras.net/careers/
Similar Jobs
CoDesign & NextGen Performance Engineer
About the role
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
This role focuses on characterizing, analyzing, and optimizing the performance of state-of-the-art AI models running on Cerebras’ breakthrough hardware. You will work across the hardware and software stack to identify bottlenecks, improve computational efficiency, and help influence the design of Cerebras’ next-generation AI architecture and software systems.
Responsibilities
Bring up and optimize performance on new generations of the Cerebras WSE. 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.
Skills & Qualifications
Bachelors / Masters / PhD in Electrical Engineering or Computer Science. Strong 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). Experience working on CPU/GPU simulators. Exposure to performance profiling and debug on any system pipeline. Comfort with C++ and Python.
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: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here! 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. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Not the right fit? Search for CoDesign & NextGen Performance Engineer jobs in Toronto, Ontario, Canada
About Cerebras Systems
Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, functional business experts and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art.
The CS-3 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-3). The WSE-3 is the largest chip ever built. It contains 4 trillion transistors and covers more than 46,225 square millimeters of silicon. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, models that in the past took months to train, can now train in minutes on the Cerebras CS-3 powered by the WSE-3. Additionally, Cerebras accelerates inference of large models, enabling instant results.
Join us: https://cerebras.net/careers/