Remote (Global)

Cerebras Systems is hiring a Principal Customer Success Engineer

About the Role

Cerebras Systems is hiring a Principal Customer Success Engineer to play a critical hands-on role in ensuring the success of our strategic customers. You will lead deep technical engagements across a portfolio of high-value accounts, guiding onboarding, integration, performance optimization, and production scaling. You'll be the go-to technical partner for customer engineering teams while collaborating closely with internal stakeholders.

What You'll Do

  • Drive technical success of Cerebras customers.
  • Serve as the technical lead throughout the customer journey—from onboarding to production scaling—ensuring smooth deployment and long-term value realization.
  • Partner with customers to uncover new opportunities where Cerebras products can drive value, from scaling existing AI workloads to enabling novel applications.
  • Architect integrations and deployment plans aligned with customer goals.
  • Serve as a trusted advisor and technical escalation point for our customers.
  • Provide architectural guidance and best practices for GenAI workflows and applications, model deployment, and performance optimization.
  • Collaborate directly with customer engineering teams to optimize performance, debug complex issues, and remove blockers.
  • Work closely with Support and Engineering teams to manage escalations and drive fast, effective resolution of critical issues.
  • Partner cross-functionally to champion the customer experience.
  • Share field insights with Product and Engineering to inform roadmap decisions.
  • Work with Sales and Solution Architects to align on customer success plans and identify growth opportunities.
  • Collaborate with Marketing to highlight successful deployments and customer impact.
  • Mentor and elevate the broader Customer Success and Support team.
  • Provide technical leadership, documentation, and reusable assets to scale success across the organization.
  • Contribute to internal playbooks and onboarding for Customer Success Engineers and Support Engineers.

What We're Looking For

  • Bachelor’s or Master’s degree in a technical field such as Computer Science, Electrical Engineering, or related discipline.
  • 10+ years of professional experience.
  • 5–7+ years in customer-facing technical roles (e.g., Customer Success Engineering, Solutions Engineering, Technical Account Management).
  • Strong foundation in LLM inference workloads, AI/ML systems, distributed computing, and infrastructure.
  • Exceptional communication and collaboration skills; ability to interface with developers, architects, and executive stakeholders.
  • Comfortable leading complex technical discussions and resolving high-severity issues in real time.
  • Passion for customer advocacy and delivering measurable impact through high-touch engagement.

Nice to Have

  • Experience deploying and optimizing LLM inference workloads, with a solid understanding of latency, throughput, and token-level performance metrics, as well as inference toolchains, APIs, and optimization techniques relevant to large-scale model serving.

Technical Stack

  • AI/ML systems
  • Distributed computing
  • LLM inference workloads

Team & Environment

Part of the growing Customer Success and Support team.

Benefits & Compensation

  • Salary: $180,000 – $300,000 annually for the US.
  • Build a breakthrough AI platform beyond the constraints of the GPU.
  • Publish and open source their cutting-edge AI research.
  • Work on one of the fastest AI supercomputers in the world.
  • Enjoy job stability with startup vitality.
  • Our simple, non-corporate work culture that respects individual beliefs.

Work Mode

This role is open globally with locations in Europe, Sunnyvale CA, and Toronto Canada.

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies.

Required Skills
AI/ML systemsDistributed computingLLM inferenceCustomer SuccessTechnical SupportSystem ArchitecturePerformance OptimizationTroubleshootingCommunicationPresentation SkillsCloud PlatformsLinuxScriptingNetworking
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About company
Cerebras Systems

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.

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Job Details
Category infrastructure
Posted 5 months ago