Posted Apr 15, 2026
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. ### What You’ll Do
Technical Leadership
Own the architecture and evolution of the ML inference runtime and serving systems.
Guide the design of:
high-throughput, low-latency inference pipelines;
multimodal model execution (text, image, audio, video);
scalable serving infrastructure for concurrent workloads. - Partner with cloud, compiler, core runtime, hardware, and ML teams to optimize end-to-end performance.
Team Leadership
Execution & Delivery
Drive execution of complex, cross-functional initiatives across:
ML engineering;
compiler/runtime teams;
cloud and infrastructure teams. - Own delivery of features such as:
advanced inference capabilities (structured outputs, sampling strategies);
heterogeneous model types, including test and multimodal;
performance optimization (latency, throughput, memory efficiency);
observability and reliability across the inference stack. - Ensure high-quality releases through strong testing, validation, and operational rigor. Platform & Performance Ownership
Scale Cerebras’ inference platform to handle large volumes of concurrent requests at very fast speed
Drive improvements in:
latency;
throughput;
compute efficiency. - Identify and prioritize technical debt and system bottlenecks.
Maintain Cerebras’ industry-leading inference speed advantage.
Cross-Functional Collaboration
Partner with:
ML researchers (model enablement);
compiler teams (model execution optimization);
cloud/platform teams (deployment and scaling). - Act as a bridge between research, infrastructure, and production systems.
Required
8+ years of experience in:
large-scale software engineering;
ML systems or distributed systems. - 2+ years of engineering management experience. - Strong programming skills in:
Python (production systems);
C++ (performance-critical systems). - Experience building and scaling large-scale inference systems (LLMs or multimodal). - Experience working with cloud infrastructures and following best-practices for building scalable microservices and applications. Preferred
Experience with:
LLM serving frameworks (e.g., vLLM, TensorRT-LLM, SGLang);
PyTorch and deep learning frameworks;
distributed systems and high-performance computing. - Familiarity with:
ML runtime systems;
model execution pipelines;
performance optimization for AI workloads. Why This Role Matters
This team is central to Cerebras’ mission of delivering the fastest AI inference in the world. Your work will directly enable real-time AI applications and unlock new capabilities across enterprise and frontier AI use cases. #### Apply today and become part of the forefront of groundbreaking advancements in AI! 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.
Don't want to apply yourself?
Our team writes your resume, applies for you, preps you for interviews, and negotiates your offer.
Browse Jobs
By Role
By City