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; 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.

We're hiring a Software Engineer to help contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter clusters, connecting cloud components with machine learning services. 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.

If you're interested in building the next-generation architecture of a globally distributed inference platform, we'd like to talk. Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and productionization. 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.



Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment. 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. 3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure. ~ Experience building highly available, latency-sensitive systems at scale. ~ Solid proficiency in backend or systems languages such as Go or C++.

Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads. 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. Our simple, non-corporate work culture that respects individual beliefs. 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. #

📌 Platform Software Development Engineer (Toronto)
🏢 Cerebras
📍 Toronto