Cerebras Systems
Staff Software Engineer, Inference Platform
Sunnyvale, CA · Staff+
Sponsorship not specifiedDetected 32 days ago
C++Distributed SystemsCode ReviewKubernetesMachine LearningLLMsComplianceCommunicationMentoring
About the role
- 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.
- OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
- Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
Responsibilities
- Raise the effectiveness of senior engineers through design feedback, pairing, and clear technical standards.
- Platform Direction. Help shape the technical direction for the Inference Platform, k8s custom resource definitions, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas.
- Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Drive system-level improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand.
- Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment.
- Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor.
- Technical Influence. Partner with ML, Product, Infrastructure, and Cloud teams to translate product and business requirements into scalable system designs, and drive alignment on shared technical decisions within your domain and adjacent platform surfaces.
- Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment, especially within your domain and adjacent systems.
- People who are serious about software make their own hardware.
- Build a breakthrough AI platform beyond the constraints of the GPU.
Requirements
- 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
- Experience with security (certificates, TLS, mTLS)
- Strong proficiency in backend or systems languages such as Go, C++ with the expectation that you can contribute production code directly.
Nice to have
- Experience optimizing latency, throughput, and efficiency in high-QPS systems.
- Experience with TTFT and tail-latency reduction is a strong plus.
- Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads is a plus.
Skills
- Five Reasons to Join Cerebras in 2026.
Company info
- 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.
- At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry.
- Apply today and become part of the forefront of groundbreaking advancements in AI!
Equal opportunity
- Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.
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This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.