Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
About the role
We’re hiring a senior backend engineer to build and scale the services that power Cerebras Inference Cloud. Your work will support the Developer Console and the broader backend systems that developers and enterprises rely on to access, manage, and operate inference workloads. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong backend engineering fundamentals. Experience designing APIs, services, data models, and distributed systems, with a practical understanding of concurrency, consistency, caching, and failure handling
- A track record of ownership. You’ve designed, delivered, and operated complex production systems, taking responsibility for their behavior after launch
- Breadth and adaptability. You’re comfortable moving between backend domains, learning unfamiliar systems, and choosing the right approach for the problem
- Database and data-processing experience. You can design schemas, reason about query performance, and build reliable transactional and asynchronous workflows
- Sound technical judgment. You know when a simple solution is sufficient and when scale, correctness, or reliability requires a deeper investment
- Independent execution. You bring clarity to ambiguous problems, manage dependencies, and drive work forward
More about this role
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
We’re hiring a senior backend engineer to build and scale the services that power Cerebras Inference Cloud. Your work will support the Developer Console and the broader backend systems that developers and enterprises rely on to access, manage, and operate inference workloads.
This is a hands-on role for a backend generalist who enjoys working across services, APIs, databases, and data pipelines. You’ll solve problems spanning usage tracking, billing, quotas, account management, request logs,...
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