Founded in 2015 and based in Sunnyvale, California, Cerebras Systems develops high-performance computing systems for artificial intelligence workloads. It is known for the Wafer-Sc
Member of Technical Staff (Software Engineer)
Location
United States
Posted
17 days ago
Salary
$169.6K - $175K / year
Seniority
Lead
Job Description
Member of Technical Staff (Software Engineer)
Cerebras Systems
Role Description Cerebras Systems Inc. has multiple openings for Member of Technical Staff (Software Engineer). - Implement infrastructure to support high-performance, low-latency inference service. - Deploy and configure Kubernetes services to ensure scalability and reliability of inference workloads. - Optimize resource allocation and auto-scaling policies to handle variable inference demand while minimizing operational costs. - Integrate inference services with containerized environments using Docker and Kubernetes for orchestration. - Ensure high availability and fault tolerance by implementing multi-region deployments and disaster recovery strategies. - Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks. - Collaborate with machine learning engineers to validate inference accuracy and performance against functional and latency requirements. - Triage and resolve defects in the service by analyzing logs, metrics, and distributed traces. - Debug issues related to model deployment, container orchestration, or networking configurations, documenting steps to reproduce and root-cause defects. - Collaborate with cross-functional teams to address performance regressions, scalability issues, or integration failures in the inference pipeline. - Develop automated scripts to detect and mitigate common failure modes, improving system reliability. - Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers. - Work with product management and user experience teams to define requirements for inference service interfaces, including configuration, monitoring, and event logging. - Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability. - Participate in release planning and prioritization discussions to align infrastructure development with customer needs and business objectives. Qualifications - Master’s degree or foreign equivalent degree in Computer Science, or a related field. - 1 year of experience as Software Developer, Student/Intern (Software Developer), Member of Technical Staff (Software Engineer), Software Engineer, or a related occupation. - Employer accepts full-time or equivalent part-time experience gained before, during or after graduate studies. Requirements - Docker and Kubernetes - Java or C++ - ActiveMQ and Kafka - Python or Groovy - JavaScript or TypeScript - Linux - SQL, OracleDB, and Redis - Git Benefits - 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. Company Description 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 top 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. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.
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