Distributed Systems AI Jobs

Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team.

Design, build, and own shared infrastructure for Interpretability - research environments, data systems, and compute tooling that researchers rely on daily.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Build and scale the infrastructure and data pipelines behind Safeguards machine learning research. Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result.

Conduct comprehensive adversarial testing across. Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers) Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer.

Drive scaling and core efficiency programs for the API stack from architectural direction through sequenced, deliverable execution Run multiple large programs simultaneously across infrastructure, networking, and the API layer.

Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide. Develop resilient, flexible systems that adapt in real time to real world events.

Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs.

Design and run new evaluations of Claude's capabilities — reasoning, agentic behavior, knowledge, safety properties — and produce visualizations that make the results legible to researchers and decision-makers.

Build and improve the RL training infrastructure that researchers depend on day-to-day. Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed.

Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor.

Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery.

Implement and optimize post-training techniques at scale on frontier models. Conduct research to develop and optimize post-training recipes that directly improve production model quality.

By your 90th day, you’ll understand how Collections Infra supports Notion’s database block, ship improvements to database performance or reliability, and build context on the scale challenges behind larger enterprise workspaces and AI-driven write volume.

Lead, coach, and grow a high-performing team of AI and software engineers, developing them into strong technical leaders while fostering a culture of ownership, technical excellence, experimentation, and continuous learning.

Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation. Design and build optimized indexing pipelines for structured and unstructured data.

Plan, build, and ship product features from conception to launch, then iterate based on insights and customer feedback. Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations.

Collaborate with teammates to design and build database features that power AI applications. Learn how to tune performance and support reliability in distributed systems (don’t worry, we’ll guide you).

The Role   Apollo is Palantir’s autonomous software management and deployment platform.

The Role   Palantir is at the forefront of some of the most critical and challenging problems in the world. We develop alongside our customers everyday. Our customers span from the cloud to the frontline.

Design and build core P2P systems, from invoice ingestion and approval workflows to payment orchestration and reconciliation logic.

Gaining a deep understanding of both our technology and our customers. Frontliners operate across a broad spectrum of responsibilities, much like a startup CTO. They work in small teams to own the end-to-end execution of high-stakes projects.