Rust Jobs

Harvey

Harvey is transforming professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are a fast-growing company with strong product-market fit, seeking individuals who want to do the best work of their careers. As a Staff Software Engineer on the Model Infrastructure team, you will lead the design and development of the systems that power every AI request at Harvey. You will partner closely with AI Research, Product Engineering, and Infrastructure teams to build a highly reliable, scalable, observable, and efficient platform.

$236k - $290k

Anthropic

Anthropic is seeking an experienced tech lead to join its Evals Infrastructure team. This role involves building and managing the systems that measure the capabilities of AI models, ensuring these evaluations are fast, reliable, and trustworthy at scale. You will work at the intersection of inference, research, and infrastructure engineering, orchestrating large-scale distributed systems for frontier model evaluations, developing researcher harnesses, and ensuring the reproducibility and interpretability of results. Your work will directly influence the development of AI systems and their alignment with human interests.

Anthropic

Anthropic's Security Governance, Risk, and Compliance (GRC) team is seeking a Security Controls Assurance Lead to translate regulatory, customer, and voluntary obligations into actionable controls. This role will define control requirements and acceptance criteria for global compliance obligations across the software development lifecycle, partnering with engineering teams to ensure implemented controls meet defined standards. The goal is to build an integrated compliance and risk ecosystem that serves as a trust engine and an independent risk advisor for Anthropic.

Anthropic

Anthropic is seeking experienced software engineers to join its Platform organization. This team builds the foundational primitives that accelerate product development and owns the infrastructure and systems that enable reliable, scaled product shipping for internal and external users. You will independently scope complex, multi-month projects, drive cross-organizational alignment, and make architectural decisions that shape how Anthropic builds and scales its products. You will partner directly with research to productize cutting-edge capabilities, impacting the platform used by hundreds of thousands of companies and engineers daily.

thinkingmachines

Thinking Machines Lab is seeking a full stack engineer to build and ship products from prototype to scale, and to maintain tools that accelerate research and product teams. This role involves working across frontend and backend components, and contributing to the reliability, observability, and security of production systems. The company's mission is to empower humanity through advancing collaborative general intelligence, building a future where everyone has access to AI tools for their unique needs.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a full-stack engineer to develop and deploy the products and services that Tinker users engage with daily. This role involves working across frontend, backend, and infrastructure to build the Tinker console, developer tools, and other essential components for the platform. Tinker is a fine-tuning API that enables researchers and developers to customize frontier AI models using their own data and algorithms, managing the underlying infrastructure to provide flexibility and access to advanced capabilities.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a developer productivity engineer to enhance internal software development processes, focusing on safety, speed, and user experience. This role will concentrate on AI tools and coding agents, collaborating with platform, security, and product engineers to build cutting-edge tooling for AI-assisted software development and significantly accelerate the inner development loop. The position involves both establishing company-wide platforms and assisting individual developers in optimizing their workflows.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an engineer to join a high-impact team focused on data infrastructure. This role is crucial for architecting and scaling the core systems that power distributed training pipelines, multimodal data catalogs, and intelligent processing of petabytes of data. You will work directly with researchers to accelerate experiments, develop new datasets, enhance infrastructure efficiency, and derive key insights from our data assets. If you are passionate about distributed systems, large-scale data mining, and building foundational tools from the ground up, we encourage you to apply.

$350k - $475k

Anthropic

Anthropic is seeking a vulnerability assessment candidate for platform security. This role involves cross-functional collaboration with internal teams and external partners to assess security features across hardware, firmware, bootloaders, operating systems, and attestation systems. The primary goal is to identify and eliminate vulnerabilities from the ground up, requiring deep expertise in low-level systems security and a hands-on approach to ensure that identified issues are fully and correctly resolved in production, preventing reintroduction.

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.

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.

Anthropic

The Interpretability team at Anthropic is dedicated to understanding how large language models work, believing that a mechanistic understanding is key to making advanced AI systems safe and reliable. This role involves building and maintaining the specialized infrastructure for interpretability research, akin to performing 'neuroscience' on neural networks. The work spans the entire lifecycle of a production language model, from pretraining and inference to performance optimization, pushing the boundaries of hardware and software to address critical bottlenecks. As interpretability research matures and is applied to safety audits on frontier models, engineering and infrastructure have become crucial, making this role directly impactful on one of AI's most significant open problems.

Anthropic

Anthropic is seeking a Staff Software Engineer to own and enhance the inner development loop for engineers and researchers building Claude. This role focuses on optimizing the developer experience by making environment setup fast, designing secure isolation for local experimentation, and implementing pre-push validation to catch issues early. The engineer will also influence the evolution of the company's repository and platform topology, working closely with infrastructure teams. A key aspect of this role involves integrating Claude as an AI coding collaborator into the development workflow, requiring a candidate who already builds with AI assistants and has insights into their effective use.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Developer Productivity team owns the entire path from pull request to production, including review automation, CI, the merge queue, and the deploy pipeline. This role focuses on integrating these components into a fast, predictable system that scales with the company's growth. You will be responsible for making "time from push to healthy in production" a reliable metric, shaping CI and repository topology for optimal velocity, and building AI-assisted review processes. This is a tech-lead-scope individual contributor role with significant cross-team influence, representing Developer Productivity in org-wide pipeline decisions and setting standards for other teams. The team heavily utilizes Claude in its development workflows, with agentic coding being both a method of work and a component of what you will build.

Anthropic

Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We are the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that allows product teams to ship into claude.ai safely and quickly. We are building the agentic layer that transforms claude.ai from a chat surface into an execution surface, enabling task execution, personalization, browser use, and server-side tools. Our goal is to build systems that ensure both reliability and velocity.

$181k - $198k

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. The Security Risk team is rebuilding risk management as an engineering function, leveraging automation and AI-native platforms. This role involves identifying, prioritizing, and treating the company's most critical security risks across a broad spectrum of systems, from authorization to cryptography. You will help define the future of risk management for frontier AI companies, with a direct impact on CISO-level decisions and the opportunity to build the underlying AI-native platform. The work is largely greenfield, allowing you to shape the architecture and discipline.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Application Security team plays a crucial role in integrating security throughout the software development lifecycle. In this hands-on technical role, you will collaborate with software engineers and researchers to embed security from design to implementation. You will lead threat modeling and secure design reviews, proactively identify and mitigate risks, and build tools to support secure coding practices. Your work will influence our tooling, detection capabilities, and defenses against emerging AI/ML threats, while also developing standards, processes, and educational resources to empower all engineers as security champions. This role requires a security practitioner with an attacker's mindset, a developer's perspective, and strong relationship-building skills.

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.