Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs, delivering industry-leading training and inference speeds for machine learning applications.

Cerebras Systems, a pioneering company in AI hardware, is seeking a Kernel Engineer to join their innovative team in Bengaluru. The company builds the world's largest AI chip, which is 56 times larger than traditional GPUs, revolutionizing AI compute capabilities.

As a Kernel Engineer, you'll work at the fascinating intersection of hardware and software, developing state-of-the-art solutions for emerging problems in AI and HPC. You'll be part of a team responsible for designing, implementing, validating, and performance-tuning deep learning operations on highly parallel custom processors.

The role involves developing sophisticated kernel libraries using low-level assembly instructions and domain-specific languages, optimizing algorithms for the Cerebras hardware system, and working closely with chip architects to enhance next-generation systems. You'll also contribute to the evolution of kernel library architecture to address computational challenges in cutting-edge Neural Networks.

Cerebras offers a unique opportunity to work with industry leaders, publish research, and contribute to groundbreaking advancements in AI technology. The company maintains a simple, non-corporate culture that respects individual beliefs while providing the stability of an established organization with the energy of a startup.

The ideal candidate should have a strong background in computer science or related fields, expertise in C++ and Python, and a deep understanding of hardware architecture. Experience with kernel development, parallel algorithms, and machine learning frameworks would be highly valuable. This is an excellent opportunity for someone passionate about pushing the boundaries of AI computing and working with cutting-edge technology.

Join Cerebras Systems as a Kernel Engineer to develop state-of-the-art AI solutions, working with the world's largest AI chip and contributing to groundbreaking advancements in machine learning technology.

Kernel Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs, delivering industry-leading training and inference speeds.

Cerebras Systems, a pioneering company in AI hardware, is seeking an AI Infrastructure Operations Engineer to join their team. The company is known for creating the world's largest AI chip, which is 56 times larger than conventional GPUs, providing unprecedented AI compute power with the simplicity of a single device management.

The role offers a unique opportunity to work with cutting-edge technology, specifically the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power. As an AI Infrastructure Operations Engineer, you'll be responsible for managing and operating advanced AI compute infrastructure clusters, ensuring optimal performance and availability.

The position requires a deep understanding of Linux-based systems, containerization technologies, and experience with monitoring and troubleshooting complex distributed systems. With 6-8 years of relevant experience required, the ideal candidate should be proficient in Python scripting, have extensive knowledge of Docker and container orchestration platforms, and be comfortable with 24/7 on-call rotations.

Working at Cerebras means being at the forefront of AI technology advancement. The company has established partnerships with global corporations, national labs, and healthcare systems, including a multi-year, multi-million-dollar partnership with Mayo Clinic. In 2023, they launched Cerebras Inference, the fastest Generative AI inference solution globally.

The company offers a unique work environment that combines the stability of an established company with the vitality of a startup. They promote a simple, non-corporate work culture that respects individual beliefs and encourages continuous learning and growth. Team members have the opportunity to work on one of the fastest AI supercomputers in the world and contribute to cutting-edge AI research.

This role is available in multiple locations including Sunnyvale, CA, Toronto, Canada, and Bangalore, India, offering flexibility in terms of work location. The position is ideal for someone who is passionate about AI infrastructure, enjoys solving complex technical challenges, and wants to be part of a team that's pushing the boundaries of what's possible in AI computing.

Senior AI Infrastructure Operations Engineer position at Cerebras Systems, managing and operating cutting-edge machine learning compute clusters with the world's largest AI chip.

AI Infrastructure Operations Engineer

Cerebras Systems, a pioneer in AI hardware, is seeking a Distributed Software Engineer to join their innovative team. The company has built the world's largest AI chip, 56 times larger than GPUs, revolutionizing AI compute power. Their novel wafer-scale architecture provides the computing capability of dozens of GPUs on a single chip, simplifying machine learning applications management.

The role focuses on building and maintaining the software infrastructure for Cerebras' multi-exaflop supercomputers, which are deployed in major datacenters. As part of the Cluster engineering team, you'll be responsible for developing critical software components that manage their Wafer-Scale Cluster technology.

The position offers an opportunity to work on cutting-edge technology at the intersection of distributed systems and AI. Cerebras has established partnerships with global corporations, national labs, and healthcare systems, including a multi-year, multi-million-dollar collaboration with Mayo Clinic. The company recently launched Cerebras Inference, the fastest Generative AI inference solution globally.

The ideal candidate will bring strong expertise in distributed systems, cluster management, and software architecture. You'll be working with modern technologies including Kubernetes, GoLang, and Python, while building systems that operate at an unprecedented scale. This is a chance to contribute to groundbreaking advancements in AI computing infrastructure while working in a non-corporate culture that values individual beliefs and innovation.

Join Cerebras to be part of a team that's pushing the boundaries of what's possible in AI computing, with the stability of an established company combined with the energy and innovation of a startup.

Join Cerebras Systems as a Distributed Software Engineer to build and maintain software infrastructure for multi-exaflop AI supercomputers using cutting-edge distributed systems technology.

Distributed Software Engineer

Cerebras Systems, a pioneering company in AI hardware, is seeking an AI Infrastructure Operations Engineer to manage their cutting-edge machine learning compute clusters. The role involves working with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its power. The position requires deep expertise in Linux systems, containerization, and distributed systems management.

The successful candidate will be responsible for ensuring the health, performance, and availability of Cerebras' infrastructure while maximizing compute capacity for AI initiatives. This is a critical role that combines hands-on technical work with strategic infrastructure management, requiring both deep technical knowledge and strong operational skills.

Cerebras Systems has established itself as a leader in AI computing, with partnerships across multiple industries including healthcare, where they recently announced a multi-year partnership with Mayo Clinic. Their technology delivers unprecedented AI computing power, with their chip being 56 times larger than traditional GPUs and their inference solution being 10 times faster than GPU-based cloud services.

The role offers an opportunity to work at the forefront of AI infrastructure, managing some of the most advanced computing systems in the world. The position demands a combination of technical expertise, operational excellence, and the ability to work in a fast-paced environment. The ideal candidate will have extensive experience with Linux systems, containerization, and large-scale infrastructure management, along with strong problem-solving and communication skills.

This is an excellent opportunity for someone passionate about AI infrastructure who wants to work with cutting-edge technology while making a significant impact on the future of AI computing. The role offers the chance to work with a team that's pushing the boundaries of what's possible in AI hardware and infrastructure.

Senior AI Infrastructure Operations Engineer role at Cerebras Systems, managing advanced ML compute clusters and working with world's largest AI chip.

Cerebras Systems, a pioneering company in AI hardware, is seeking a Kernel Engineer to join their team in Bengaluru, India. The company builds the world's largest AI chip, which is 56 times larger than traditional GPUs, revolutionizing AI compute capabilities.

As a Kernel Engineer, you'll work at the fascinating intersection of hardware and software, developing state-of-the-art solutions for emerging problems in AI and HPC. You'll be part of a team responsible for designing, implementing, validating, and performance-tuning deep learning operations on highly parallel custom processors.

The role involves developing sophisticated parallel and distributed algorithms to maximize hardware utilization and accelerate neural network training to unprecedented speeds. You'll work with low-level assembly instructions and C-like domain-specific language routines, while also collaborating with chip and system architects to optimize next-generation systems.

The ideal candidate should have a strong academic background in Computer Science, Computer Engineering, or Mathematics, with expertise in C++ and Python programming. Knowledge of hardware architecture, debugging complex software stacks, and API development best practices is essential. Experience with kernel development, parallel algorithms, GPU programming, and machine learning frameworks would be highly advantageous.

Cerebras offers a unique opportunity to work on groundbreaking AI technology, with the chance to publish research and contribute to one of the world's fastest AI supercomputers. The company combines the stability of an established organization with the dynamic environment of a startup, fostering a non-corporate culture that respects individual beliefs and promotes continuous learning and growth.

Join Cerebras Systems as a Kernel Engineer to develop state-of-the-art AI solutions, working with the world's largest AI chip and advanced parallel computing systems.

Cerebras Systems Engineering Jobs

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs, delivering industry-leading training and inference speeds for machine learning applications.