Anthropic

Staff + Sr. Software Engineer, Cloud Inference Launch Engineering

San Francisco, CA · Staff+

H1B sponsorship available$320k-$485kDetected 7 days ago

PythonRustDistributed SystemsAWSGCPAzureCloud PlatformsKubernetesCI/CDMachine LearningNLPLLMsLogisticsLoad BalancingResearchCommunicationCollaboration

About the role

We're responsible for every inference change - model launches, performance improvements, safeguard integrations - landing on cloud platforms with correctness, performance, and reliability intact.
This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production - reclaiming capacity at a time when compute is our scarcest resource.

Responsibilities

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
Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
Thrive in cross-functional collaboration with both internal teams and external partners
Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Requirements

prior inference or ML experience is not required
Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
Years of experience required will correlate with the internal job level requirements for the position
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Nice to have

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
Proficiency in Python or Rust

Compensation

$320,000 - $485,000 USD

Benefits

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Company info

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
Anthropic's mission is to create reliable, interpretable, and steerable AI systems.

Visa & Work Authorization

However, we aren't able to successfully sponsor visas for every role and every candidate.
But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We do sponsor visas!

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This listing is sourced directly from Anthropic's careers page and normalized into a canonical job model.