Compute Server Platform Architect

Cerebras

. Own the architecture for all server roles in Cerebras clusters, including server types, configurations, and lifecycle strategy .

Posted 11/6/2026full-timeSunnyvale • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in server platform architecture and systems performance engineering, with a strong focus on x86 server architecture and Linux systems. Capable of developing performance models, conducting rigorous benchmarking, and leading vendor engagements to influence technical roadmaps.

Highest-signal resume keywords

Server Platform ArchitectureLinux Systems KnowledgePerformance ModelingCross-Functional CommunicationVendor Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

X86 Server ArchitectureCPU MicroarchitecturePerformance AnalysisCapacity PlanningBenchmarkingC ProgrammingC++ ProgrammingPython ProgrammingNVMe Performance CharacteristicsRDMA/RoCE Concepts

Soft Skills

Cross-Functional CommunicationTechnical Decision-Making

Tools & Technologies

LinuxBIOSFirmwareDriver BaselinesMicrobenchmarks

Certifications & Qualifications

PhD in Computer ScienceMaster’s in Computer ScienceBachelor’s in Computer Science

Industry Keywords

AI/MLHPCDistributed SystemsPerformance-Sensitive SystemsInfrastructure Design

Tech Stack

Tools & technologies

Distributed SystemsLinuxPythonC++

About the role

Key responsibilities & impact

Own the architecture for all server roles in Cerebras clusters, including server types, configurations, and lifecycle strategy
Define and maintain server formulas, counts, ratios, capacity planning, and headroom policy
Specify CPU, memory, PCIe, NIC, and local NVMe configurations
Translate software and runtime flows into measurable hardware requirements and communicate guardrails to software teams
Develop performance and scaling models, validate them with microbenchmarks and workload experiments, identify bottlenecks, and drive cross-stack fixes
Define OS, BIOS, firmware, and driver baselines for each server type
Track emerging server technologies and run proof-of-concept evaluations
Lead technical vendor engagements, influence roadmaps, request platform capabilities, and drive joint debugging
Define qualification and acceptance criteria and partner with the Infrastructure Hardware TPM on qualification and production adoption
Support bring-up and rare deployment debugging in lab and staging environments
Drive root-cause analysis for regressions spanning firmware, drivers, OS, and runtime behavior

Requirements

What you’ll need

PhD in Computer Science or Electrical/Computer Engineering and 8+ years of industry experience, or Master’s/Bachelor’s in CS or EE and 10+ years of industry experience
5+ years of experience in server platform architecture, systems performance engineering, or large-scale infrastructure design for AI/ML, HPC, or performance-sensitive distributed systems
Deep understanding of x86 server architecture, including CPU microarchitecture, cache hierarchies, NUMA, memory controllers/channels, and memory bandwidth versus latency tradeoffs
Strong Linux systems knowledge, including profiling, performance analysis, scheduling, syscall overheads, memory management, and practical tuning
Experience with high-performance IO paths, NIC behavior, RDMA/RoCE concepts, and NVMe performance characteristics
Ability to create capacity and performance models and validate them with rigorous benchmarking
Experience working directly with vendors and partners to evaluate platforms, resolve issues, and influence roadmaps
Strong cross-functional communication and ability to drive technical decisions through tradeoff documents and reviews
Familiarity with C, C++, and Python
Must complete U.S. export compliance assessment/citizenship and permanent-residency confirmation

Benefits

Comp & perks

Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Job stability with startup vitality
Simple, non-corporate work culture that respects individual beliefs
Equal and diverse work environment
Continuous learning, growth and support