Jobs at Cerebras Systems

The Senior Technical Program Manager is responsible for site and data center operations, leading cross-functional programs, ensuring operational readiness, and managing metrics and KPIs for AI infrastructure.

The Manufacturing Bring-up Engineer oversees system testing and validation, collaborating with cross-functional teams to automate workflows and enhance manufacturing efficiencies.

Responsible for software integration and quality for Cerebras AI platform, focusing on automation, debugging, and cross-team collaboration. Develops QA strategies and testing methodologies to ensure product quality.

Design and develop high-performance distributed software for scalable AI training systems, focusing on data pipelines and system efficiency.

Develop and automate configuration for distributed clusters, create monitoring tools, manage cloud operations, and ensure system reliability for Cerebras AI supercomputers.

Perform physical design and analysis for 3D integrated ASIC/SoC products, including full-chip and block-level physical verification, DRC/LVS resolution, IR/EM analysis, power/clock/cooling analysis, and 3D die stacking. Collaborate with RTL and architecture teams, optimize for power/performance/area, enhance flows via scripting, and work on packaging and floor-planning integration R&D.

The Forward Deployed Product Manager at Cerebras leads customer engagements, co-architects AI solutions, and influences product roadmaps to enhance AI applications in various industries.

Lead engineer responsible for end-to-end bring-up of ML models and frameworks on Cerebras CSX systems. Work across model translation, graph lowering, compiler optimizations, runtime integration, and performance tuning. Debug performance and correctness issues across model code, compiler IRs, runtime behavior, and hardware utilization. Prototype tooling and API improvements to accelerate future bring-ups.

Lead brand expression and integrated go-to-market programs, unifying creative, product, growth, and communications to deliver cohesive campaigns that drive awareness, engagement, and measurable pipeline growth while building and managing an in-house creative and agency ecosystem.

Lead technical product marketing for AI compute, owning positioning, competitive strategy, and technical content. Translate systems-level innovations into customer and executive narratives, drive competitive intelligence, support launches, and lead a technical product marketing team aligned with product, engineering, and sales.

The Senior Cost Accounting Manager will oversee cost accounting processes, inventory management, and collaborate cross-functionally to ensure accurate financial reporting. This role requires analytical skills and experience in manufacturing settings.

Design and develop microarchitecture and RTL for wafer-scale AI chips. Lead functional specification, RTL development, synthesis and front-end integration. Collaborate with physical design, verification, DFT, software and systems teams to meet PPA goals. Debug silicon-level functional, timing, and power issues and manage third-party IP and vendor interactions to deliver production silicon.

The Senior Cloud Quality Engineer will ensure the quality of cloud releases, build scalable test infrastructure, and collaborate with various teams to improve testing processes. Exceptional experience in cloud environments, test engineering, and communication is essential.

Lead PCB design from specification through implementation, bring-up, qualification, and production. Own schematics, component selection, and layout. Perform lab bring-up, debugging, and automated benchtop test development. Collaborate with manufacturing, test, supply chain, ASIC, mechanical, signal integrity, power delivery, layout, embedded, and diagnostics teams.

The role involves developing infrastructure for benchmarking AI inference performance, analyzing system behavior, designing telemetry systems, and collaborating with teams to improve feature performance.

The Deployment Engineer will manage AI inference clusters, optimizing deployment, capacity allocation, and ensuring reliability of pipeline operations across datacenters.

The role involves synthesizing, placing, and routing high-speed designs, collaborating with RTL teams, and optimizing designs for power/performance area.

The Senior Performance Analyst will benchmark Cerebras' AI inference performance, analyze competitor pricing, and provide pricing recommendations to enhance the customer value proposition, requiring deep expertise in ML frameworks and architecture.

The Business Operations Lead will partner with senior leaders to manage operations in the Datacenter organization, ensuring alignment and efficient execution of plans and priorities, while improving transparency and decision-making mechanisms.

As a Network Architect, you'll design AI/ML and HPC clusters, address performance bottlenecks, drive multi-team projects, and collaborate with vendors.