> Markdown version of [/jobs/ext/2712840-codesign-nextgen-performance-engineer](https://www.wearedevelopers.com/jobs/ext/2712840-codesign-nextgen-performance-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CoDesign & NextGen Performance Engineer - **Company:** Cerebras Systems - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Profiling, Software Debugging, Python (Programming Language), Machine Learning, Software Systems, Large Language Models, IT Architecture, Deep Learning, Information Technology - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/codesign-nextgen-performance-engineer-cerebras-ai-8852000 ## About the Role * 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. ## Description 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., * 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. ## Related Videos - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Architectures that we can use with .NET](https://www.wearedevelopers.com/videos/935-architectures-that-we-can-use-with-net) - [Unleashing the Full Potential of the Arm Architecture – Write Once, Deploy Anywhere](https://www.wearedevelopers.com/videos/940-unleashing-the-full-potential-of-the-arm-architecture-write-once-deploy-anywhere) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)