Cerebras jobs

This Advanced Technology R&D Engineer role at Cerebras designs and implements scientific computing and AI workloads to establish performance benchmarks on wafer-scale hardware. It requires a PhD in CS/Engineering/Math/Physics (or equivalent research/open-source track record), deep expertise in computer architecture, HPC, scientific simulation, or ML theory, and proficiency in C and Python. The position publishes at top venues and collaborates with universities and national labs, based in Sunnyvale.

Senior WAN Network Engineer position at Cerebras in Sunnyvale focused on designing, implementing, and managing global WAN connectivity. Responsibilities include designing WAN across leased lines/dark fiber for low-latency, high-availability, managing carrier/ISP relationships, configuring security/routing protocols (IPSec, MACsec, BGP, VXLAN, EVPN), monitoring performance, capacity planning, implementing redundancy and failover, supporting cloud connectivity (AWS/Azure/GCP), and network automation. Requires Bachelor's in CS/EE/CE (Master's preferred), 6+ years WAN engineering or Service Provider/hyperscale datacenter experience, industry certifications (CCIE/JNCIE preferred), strong BGP/WAN knowledge, vendor platform expertise (Arista/Cisco/Juniper/Palo Alto), and network automation skills (Python/Ansible/Terraform).

ML Performance Benchmarking Engineer at Cerebras, designing and implementing telemetry systems for inference performance visibility and optimization. Responsibilities include building benchmarking automation, analyzing performance bottlenecks, and partnering with Core Platform teams. Requires Bachelor's/Master's in Computer/Systems Engineering, Python/C++ proficiency, and automated infrastructure scaling experience. Location: Toronto office on-site/hybrid.

Frontend Engineer on AI cloud building customer-facing inference, training, and admin consoles. Requires 5+ years frontend development with NextJS, React, TailwindCSS, and backend familiarity (Prisma, PostgreSQL, Auth.js); location not specified.

This Applied Machine Learning Research Scientist role at Cerebras focuses on implementing and optimizing machine learning techniques for LLM pretraining, fine-tuning, and RLHF/reinforcement learning at scale. It requires 4+ years of ML systems experience, strong Python and PyTorch skills, understanding of transformers and modern ML papers, and ability to debug complex ML pipelines. The position spans US and Canada offices and values hands-on engineering of production ML systems.

Design Validation Test (DVT) Technical Lead at Cerebras, owning validation strategy and execution for complex electrical boards and systems. Responsibilities include power delivery validation, high-speed I/O testing, system integration validation, and RCA. Requires deep hardware/electrical engineering knowledge, expertise in power integrity and electro-mechanical systems. Located in Sunnyvale HQ (on-site); salary $190k–$230k plus equity.

Manufacturing Bring-up Engineer L2 supporting system-level validation and testing in manufacturing pipeline, coordinating across ASIC, software, and QA. Requires 3+ years operations/bring-up experience, Python/Perl scripting, and hardware systems knowledge; multiple office locations including India.

Senior Product Marketing Manager role for AI Inference at Cerebras, creating technical content and positioning Cerebras' speed advantage in the AI market. Requires 5+ years product marketing in AI/ML, deep AI tools fluency, benchmark content creation, and influencer/community program experience. Located in Sunnyvale HQ; salary and equity not specified.

A kernel engineer role focused on developing high-performance software for AI/HPC workloads on Cerebras' custom parallel processor. Key responsibilities include implementing and optimizing ML/linear algebra kernels, developing low-level assembly and CSL (custom language) routines, performance tuning, and validation. Requires Bachelor's+ in CS/Engineering, C++ and Python proficiency, and strong understanding of hardware architecture. Preferred: kernel development, parallel algorithms, GPU/FPGA experience, and ML framework familiarity. The position spans US and Canada offices, creating ambiguity on remote eligibility given James' explicit US-remote-only requirement.

Infrastructure Hardware Technical Program Manager driving end-to-end delivery of server and network platform programs for Cerebras CS-3–based AI clusters. Responsibilities include requirements gathering, vendor management (OEM/ODM/switch vendors), technical reviews, qualification planning, and production rollout across multi-team programs. Requires 8+ years Technical Program Management experience with working knowledge of server architecture and networking fundamentals. Open to US and Canada offices; unclear if fully remote or hybrid.

Electrical Engineer role focused on printed circuit board design through all development stages, from specification and schematic design through bring-up, qualification, and production. Responsibilities include electrical specification, component selection, layout considerations, extensive lab bring-up and debugging, and collaboration with manufacturing, supply chain, and ASIC teams. Requires 5–10 years board design experience, expertise in digital circuits, power delivery, and high-speed signal integrity. Based on-site in Sunnyvale; salary range $150k–$260k.

A Compute/Server Platform Architect role owning server-side platform architecture for Cerebras CS3-based AI clusters. Responsibilities include defining server types and configurations, translating workload behavior into hardware requirements (CPU, memory, IO), developing performance models, leading vendor evaluations, and driving production adoption. Requires PhD in CS/EE + 8 years or Master's/Bachelor's + 10 years, 5+ years in server platform architecture, strong systems/networking knowledge, and close hardware-software collaboration. While this involves significant software/systems thinking, the primary focus is hardware architecture and vendor management, not core software engineering. Position spans US and Canada offices, creating ambiguity on remote eligibility.

This role is a Senior VLSI Product and Test Engineer position focused on semiconductor yield enhancement, failure analysis, and wafer-level diagnostics using ATE tools, optical inspection, and FIB techniques. It requires 7+ years of semiconductor testing/failure analysis expertise and deep knowledge of silicon defects, DFT strategies, and fab collaboration. The position is based in Sunnyvale headquarters as a full-time employee.