Cerebras Systems
Wafer-scale AI processors and supercomputers
Cerebras builds wafer-scale AI chips like the Wafer Scale Engine and systems such as CS-3 for training and inference of large AI models. They serve AI companies, enterprises, research labs, and governments needing fast, scalable compute. It enables breakthrough performance in AI applications like real-time inference and drug discovery.
Physical Design Engineer
Design and analyze 3D integrated products using ASIC/SoC physical design, packaging, and power/clock/cooling analysis. Requires 10+ years experience with physical verification, Synopsys tools, and 3D packaging expertise.
Senior Front End Design Engineer
Senior RTL design engineer responsible for microarchitecture, RTL development, synthesis, and integration of high-performance wafer-scale AI chips. Requires 8+ years experience and expertise in networking and HPC.
Design Verification Engineer
Design Verification Engineer responsible for developing verification strategies, reusable testbenches, and debugging complex issues across simulation, emulation, and silicon bring-up for wafer-scale AI chips.
Sr. Staff/Staff Design Verification Engineer
Lead design verification for wafer-scale AI chips. Develop verification strategies, reusable testbenches, and coverage plans while collaborating with architecture and design teams. Requires 10+ years of experience and deep expertise in SystemVerilog and UVM.
Business Operations Lead, Datacenters
High-leverage business operations role embedded in the Datacenter organization, partnering with senior leaders to build operating rhythms, planning processes, and execution mechanisms.
ASIC Architect
Architect new AI chip features by translating specs into micro-architecture requirements, building performance/power models, and conducting PPA trade-offs. Requires 10+ years in performance modeling for GPUs/CPUs/accelerators and a Master's or PhD.
Network Architect
As a Network Architect, you will design and architect front-end network fabrics for AI/ML and HPC clusters, optimizing for high resource utilization, low latency, and high-throughput communication. This role involves building proof-of-concept implementations, resolving performance bottlenecks, and automating network infrastructure.
Senior / Staff Technical Program Manager - Datacenter Capacity Delivery
The DC Delivery E2E TPM is responsible for end-to-end data center capacity delivery, from forecasting to go-live. This role involves orchestrating cross-functional execution, managing risks and budgets, and integrating demand and capacity planning.
Director / Senior Director, Critical Facility Operations
Lead critical facility operations for Cerebras Systems, ensuring availability, operational integrity, and performance across a colocation-driven data center footprint. Drive a no-downtime operating model, manage vendor relationships, and build high-performing teams.
Mechanical Engineer
As a Mechanical Engineer, you will lead the design of mechanical systems for next-generation wafer-scale engines, ensuring compliance, manufacturability, and high-quality product delivery in a fast-paced AI environment. You will develop mechanical infrastructure for custom hardware systems and collaborate with cross-functional teams.
Software Architect – Manufacturing Test
Lead architecture and development of a full-stack manufacturing test platform spanning cloud and on-prem systems. Own technical vision, mentor engineers, and collaborate cross-functionally to scale production test infrastructure.
Senior Accountant
Senior Operations Accountant managing cost accounting, inventory reconciliations, fixed asset lifecycle, and manufacturing COGS analysis for an AI chip company. Requires 4+ years experience, NetSuite proficiency, and a bachelor's in Accounting.
Director, Strategic Finance - Corporate FP&A
Lead corporate FP&A for a newly public AI chip company, owning planning, forecasting, G&A partnering, Board and investor reporting, and building scalable financial infrastructure and decision-ready KPIs.
AI Engineer, Model Quality and Performance
Own model quality and performance for Cerebras inference by building AI agent-driven eval suites, automating benchmarking, and creating customer-specific tooling. Requires strong AI agent experience and tooling intuition.
Member of Technical Staff (Software Engineer)
Develops and optimizes Kubernetes-based infrastructure for high-performance AI inference services, including deployment, scaling, debugging, and integration with ML workflows. Requires Master's in CS and 1+ year experience with Docker, Kubernetes, Python, and related tools.
Sr. Technical Staff
Performs post-silicon validation, testing, and debugging of wafer-scale AI chips and high-speed interfaces. Develops automation scripts in Python/Bash and collaborates on hardware bring-up and system diagnostics. Requires Master's in EE/CE and 3+ years experience.
Sr. Member of Technical Staff
Develops resilient, high-availability software for AI inference on AWS, including deployment workflows, container orchestration with Docker/Kubernetes, monitoring, and debugging. Requires Master's in CS and 18 months experience with AWS services, IaC tools, and Python.
Sourcing Manager – Critical Components
Develops and executes global sourcing strategies for critical components, manages suppliers, optimizes costs, and mitigates supply chain risks. Requires 10+ years experience in procurement/supply chain, bachelor's degree, and expertise in manufacturing and global dynamics.
Manufacturing Linux Network Engineer
Designs, deploys, and maintains Linux servers and high-speed network infrastructure (LAN/WAN, 10G/100G switching) across manufacturing facilities. Requires 4+ years experience with RHEL/Rocky Linux, Ansible automation, Palo Alto firewalls, and plant-floor networking in industrial environments.
System Software Engineer (Embedded)
Develops embedded system software, Linux BSP, and administrative services for the world's largest AI processor (WSE). Requires 5+ years in C++/Golang, embedded fundamentals, and cross-team collaboration; bachelor's degree minimum.
Senior Quality Engineer
Drives manufacturing quality at contract manufacturers for AI hardware systems, leading audits, root cause analysis, NPI quality controls, and continuous improvement using SPC, PFMEA, and data analysis tools. Requires 7-10 years experience in electro-mechanical quality engineering and BS degree.
Director, Business Operations
Builds operational analytics infrastructure, KPIs, dashboards, and processes for supply chain, manufacturing, and data centers. Partners with ops leaders to drive insights, decisions, and measurable improvements; requires 6+ years experience, consulting background, SQL/Python fluency.