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. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
Join Cerebras’ new Global Support organization to help customers run production-grade AI inference. You’ll troubleshoot issues across model serving, deployment, and observability; resolve customer tickets; and partner with Engineering to improve the reliability, performance, and usability of our inference platform.
Responsibilities- Own inbound tickets for inference issues (availability, latency/throughput, correctness, model loading, etc.).
- Triage, reproduce, and debug across the stack: APIs/SDKs, model serving layers (e.g., vLLM), networking, etc.
- Analyze logs/metrics/traces (e.g., Prometheus/Grafana/ELK) to drive fast resolution and clear RCAs.
- Create and maintain high-quality runbooks, knowledge base articles, and “getting unstuck” guides.
- Collaborate with Product/Eng to escalate defects, validate fixes, and influence roadmap via aggregated support insights.
- Participate in follow-the-sun on-call rotations for P1/P2 incidents with defined SLAs.
- Proactively identify pain points in both our solutions and those of our customers.
- Advocate for customer needs internally, helping prioritize fixes, features, and reliability improvements.
- 4–6 years in technical support, SRE, or solutions engineering for distributed systems or ML/AI products.
- Strong Linux fundamentals; confident with shell, systemd, containers (Docker), basic networking (TLS, DNS, HTTP/2, gRPC), and debugging with logs/metrics.
- Proficiency in at least one scripting language (Python preferred) for repros, tooling, and log parsing.
- Familiarity with modern LLM inference concepts: token streaming, batching, KV cache, etc.
- Excellent customer communication: drive clarity from ambiguous reports, write crisp updates, and set accurate expectations.
- Exposure to one or more serving stacks (e.g. vLLM) and OpenAI-compatible APIs.
- Observability practice (Prometheus, Grafana, Elk) and basic performance testing.
- Ticketing/ITSM (e.g., Jira/ServiceNow/Zendesk), incident response, and SLA/SLO workflows.
- Experience with GPUs/accelerators and performance tuning (throughput vs. latency trade-offs, batching/concurrency tuning).
- Demonstrate humility, collaboration, and a commitment to continuous learning to support team and customer success.
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
- 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.
Read our blog: Five Reasons to Join Cerebras in 2025.
Apply today and become part of the forefront of groundbreaking advancements in AI!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. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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