The opportunity
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and…
What you'll do
Be on the critical path for frontier model launches, bringing up inference: for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
Work with the core inference team to bring new inference features (e.g.: structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
Identify and dive deep on the gaps that make inference behave differently: across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
Design, build, and own the CI/CD infrastructure for the inference server and: load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
Drive down merge-to-production cycle time by making validation faster, more: parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability
Analyze observability data across providers to identify performance: bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
What they're looking for
- LLM inference optimization, batching, and caching strategies
- Capacity-constrained scheduling or shared-resource test infrastructure
- Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
- Working with CSP partner teams to scale infrastructure across multiple: platforms, navigating differences in networking, security, privacy, and managed service
- Proficiency in Python or Rust
