Cerebras Systems
Staff Software Engineer, Inference Platform
Headquarters/Sunnyvale Office · Staff+
Sponsorship not specifiedDetected 32 days ago
C++Distributed SystemsCode ReviewKubernetesMachine LearningIncident ResponseComplianceCommunication
About the role
- We are often the first team to face problems that haven't been solved yet, leading solutions across Kubernetes operators, service security policies, and CI/CD.
Responsibilities
- Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and productionization.
- 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, Kubernetes 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.
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 or C++, with the expectation that you can contribute production code directly.
- Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads.
Nice to have
- Experience optimizing latency, throughput, and efficiency in high-QPS systems.
- Experience with TTFT and tail-latency reduction is a strong plus.
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Company info
- 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.
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This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.