Rust Jobs

Cloudflare is seeking an experienced, product-minded Principal Software Engineer to join the Town Lake team. This team is responsible for making vast amounts of data accessible and valuable across the company, building a modern, agentic-first data lakehouse platform. You will play a key role in taking this fast-growing internal platform to become the foundational data infrastructure for the entire company. This is a high-impact, high-visibility role where you will lead technical architecture and drive implementation for critical services, leveraging AI deeply to accelerate development and create innovative solutions. If you are a builder who thrives on solving complex problems and shaping the future of data platforms, this opportunity is for you.

Join the Workers Deploy & Config team as a Principal Engineer, the most senior technical role on the team behind Cloudflare’s serverless edge developer platform. You’ll build the critical large-scale systems that let developers deploy, configure, and manage Workers globally, powering everything from simple static sites to full-stack applications serving millions of users. This team sits at the foundation of Cloudflare’s developer platform, including Pages and R2. The work spans distributed systems, high-traffic APIs, performance, reliability, and developer experience at global scale.

$220k - $303k

Cloudflare is seeking a Principal Engineer to join the Developer Tooling team, which builds internal platforms to enhance the velocity and developer experience for Cloudflare's engineering teams. This role is hands-on, with both engineering and operational responsibilities, focusing on AI-assisted development. You will build and operate AI tools used by thousands of engineers daily, taking end-to-end ownership of projects, providing technical mentorship, and improving the experience for the engineers you build for. The team is responsible for AI-assisted development across all of Cloudflare engineering, with significant growth in adoption.

AI inference is becoming core infrastructure, and AI Gateway is Cloudflare's solution to provide this layer at the network edge. This role is for a Senior Systems Engineer to help build this critical component. You will be a hands-on individual contributor, translating product ideas into production-ready systems. Your work will span distributed systems, high-throughput APIs, developer workflows, SDKs, and documentation, shaping how developers build and operate AI applications on Cloudflare. You should be comfortable navigating the rapidly evolving AI ecosystem, building durable infrastructure amidst constant change. The role also emphasizes using AI-native tools and agents to enhance the engineering process and build internal tools for team efficiency.

$194k - $266k

You will design and build the core infrastructure that powers AI inference across Cloudflare's global network, handling real-time voice, frontier open LLMs, and customer-deployed models on a heterogeneous fleet of GPUs and next-generation accelerators. This role involves solving complex problems in distributed systems and high-performance computing, such as sub-second model cold starts, multi-accelerator workload scheduling, efficient KV cache management, and a model deployment platform. We are building a novel AI inference platform embedded in the internet's fabric and are seeking high-agency systems engineers who are passionate about foundational infrastructure and defining how AI operates at the network edge.

At Cloudflare, we are building industrial-scale AI agents that directly support customers, moving beyond research to power real customer interactions globally from day one. This role involves assembling existing Cloudflare technologies like Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into functional agents. The primary goal is to ship production agents on the Cloudflare stack, iterating quickly through building, deploying, and learning. Your code will be the primary interface for Cloudflare customers, directly impacting their experience.

Cloudflare powers a large portion of the internet through its intelligent global network and rapidly growing developer platform. In this role within the Emerging Technologies & Incubation (ETI) department and Product Growth team, you will join a top-notch engineering team focused on building large-scale, high-performance applications and delightful user experiences. As an experienced, product-minded front-end or full-stack engineer, you will bridge product engineering and growth to translate product vision into polished code that directly impacts key business metrics and evolves our self-service properties.

Anthropic

Anthropic is seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Our mission is to ensure that transformative AI systems are aligned with human interests.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide, managing the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team's dual mandate is to maximize compute efficiency for explosive customer growth while enabling breakthrough research by providing scientists with high-performance inference infrastructure for next-generation models. This involves tackling complex, distributed systems challenges across multiple accelerator families and emerging AI hardware on various cloud platforms.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for society. The Interpretability team focuses on understanding the inner workings of trained models and applying techniques to enhance AI safety. This role is an early hire on a new infrastructure effort within the Interpretability team, focused on defining and building the systems that enable secure, private, and low-friction access to frontier models for researchers. The work involves designing and implementing solutions across security, privacy, data and compute management, and developer experience to support cutting-edge AI research and its application to safety decisions.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. This involves managing the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators, with a dual mandate of maximizing compute efficiency for customer growth and enabling breakthrough research by providing high-performance inference infrastructure. The team tackles complex, distributed systems challenges across multiple accelerator families and emerging AI hardware on various cloud platforms.

Crusoe is seeking a Senior Backend Software Engineer to join the Core Backend team within Cloud Customer Experience (CCX). This role is crucial for delivering a best-in-class user experience for Crusoe's AI-focused cloud platform. The Core Backend team is responsible for the foundational services that power every customer interaction, ensuring reliability and scalability. The work involves building and operating key systems like the API Gateway, Resource Management Layer, Quota Management, Notifications, and User Onboarding Flows, all while focusing on speed, reliability, and coherence as the platform grows.

$170k - $205k

Perplexity is seeking creative, AI-pilled engineers to join our Acceleration team. This role is focused on continually improving how the company and its teams operate, aiming for order-of-magnitude improvements in product and user experience. You will ensure Perplexity makes the best use of AI tools and agents to multiply the leverage of its lean, mission-focused teams, impacting everything from frontend and backend engineering to applied AI research and business operations. The ideal candidate will have sound technical judgment from internet-scale companies, a voracious use of advanced AI tools/models, and the imagination to rethink how work gets done. This is a hands-on role expected to build prototypes and production systems, and reengineer codebases, infrastructure, and processes.

Anthropic

The Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. This role involves managing the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team's dual mandate is to maximize compute efficiency for explosive customer growth while enabling breakthrough research by providing high-performance inference infrastructure for next-generation models. This involves tackling complex, distributed systems challenges across multiple accelerator families and emerging AI hardware on various cloud platforms.

Anthropic

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

Anthropic

Anthropic is seeking software engineers to build foundational systems for AI safety, oversight, and intervention mechanisms. In this role, you will focus on monitoring models, preventing misuse, and ensuring user well-being by developing systems to detect unwanted model behaviors and disallowed use cases. You will apply your technical expertise to uphold principles of safety, transparency, and oversight, contributing to the development of reliable, interpretable, and steerable AI systems.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Perplexity is seeking builders to define the future of human-AI interaction, moving beyond text and touch into real-time voice and vision. The Multimodal team is at the forefront of this, developing the experiences and infrastructure that enable AI to understand and respond through speech and sight. As a backend engineer on this team, you will be instrumental in designing and scaling the distributed systems that handle live voice sessions, driving innovation at the intersection of voice, vision, and AI agents. This role offers the opportunity to own problems end-to-end, from initial concept to production launch, working with cutting-edge technology in a fast-paced, entrepreneurial environment.

Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), a flagship research center focused on advancing security, privacy, and trust in frontier intelligence. As a member of SII, you will conduct original and impactful research to improve the security and privacy of frontier AI systems. Your work will be informed by the realities of operating AI systems used by millions, and you will translate research into practical improvements to protect users.