Rust Jobs

The Connector Platform team is responsible for building the data layer that enables Perplexity's agents to interact with the world's software. This team manages systems that transform hundreds of diverse integrations into a unified, reliable, and well-typed interface for agents. This platform serves as the core knowledge layer, enabling agents to discover, understand, and utilize tools effectively, grounding their reasoning in real, permissioned, and up-to-date enterprise data. By maintaining a knowledge layer above connectors, the platform ensures Computer becomes the single source of truth for institutional knowledge, providing grounded, actionable, and permissioned access to customer systems, which is a key differentiator in the market.

OpenAI

We’re hiring a Full Stack Software Engineer to help invent the next generation of AI-powered software development workflows. This role involves owning complete product experiences, spanning user interfaces, workflow orchestration, agent and prompt design, backend systems, and cloud infrastructure. It's a highly product-oriented position where you'll work directly on workflows developers use daily, identifying bottlenecks and rethinking how software gets built in a world where AI agents are active participants. The features you ship will influence how developers around the world write, review, test, and maintain software.

OpenAI

OpenAI is seeking a backend engineer to adapt its API platform for strategic cloud environments, starting with AWS. This role involves building backend services, APIs, SDK integrations, authentication flows, and cloud service infrastructure to enable developers to use OpenAI capabilities within their existing cloud environments. You will work across teams, sometimes embedded with partner product groups, to ship products quickly and across multiple platforms simultaneously. This is an excellent opportunity for engineers who have experience building developer tools, particularly AI-powered ones, can communicate effectively across technical disciplines, and can design architectures supporting diverse deployment models.

Skild AI is seeking a Software Engineer to join their team and work on deploying cutting-edge AI models for embodied systems. This role focuses on optimizing AI inference processes for models ranging from lightweight to billion-parameter scale, ensuring robots operate efficiently and intelligently in real-world scenarios. You will bridge the gap between systems and machine learning, directly enhancing AI model power and adaptability by maintaining consistent performance under varying compute and hardware constraints.

OpenAI

OpenAI's Hardware organization is developing AI-native silicon and system-level solutions for advanced AI workloads. We are seeking a Security Engineer to join our First-Party Hardware team. In this role, you will own the end-to-end security foundation for OpenAI's first-party AI hardware systems, encompassing hardware security, embedded security, system security, and practical deployment at data center scale. You will partner with various teams to define and deliver system-level device trust, including aspects like boot integrity, device identity, provisioning, attestation, management-plane security, storage encryption, debug controls, firmware updates, and decommissioning. Your accountability will extend from translating threat models into requirements, to implementation, and finally to validation evidence supporting launch decisions.

Physical Intelligence is developing foundation models and learning algorithms to power robots and future physically-actuated devices. This role focuses on building the systems that enable robots to operate reliably and safely in real-world customer environments. You will integrate state-of-the-art models with robots, design system safeguards, develop teleoperation interfaces, and implement latency optimizations for remote control. You will collaborate with researchers, platform engineers, and robot operators to ensure the entire stack is dependable enough for customers to rely on for their operations.

OpenAI

We are seeking an experienced software engineer to join our Cloud Agents team, which focuses on building and scaling the product infrastructure for long-running agents in the cloud. This includes developing systems for orchestration, sandboxing, isolation, secure connectivity, secrets management, observability, reliability, and cost controls. You will play a key role in designing and operating systems that orchestrate agents at scale, working closely with product engineers across ChatGPT, API, and Codex to define essential abstractions and enable rapid product development. A strong background in backend or infrastructure development, particularly with Python, Rust, distributed systems, cloud infrastructure, or product platforms, is highly valued.

The Storage Platform team is responsible for the infrastructure that enables Perplexity to persist, retrieve, and manage data across all systems. This team ensures high availability, performance, and cost-efficiency for all products and AI workloads. They manage the full spectrum of storage technologies, including relational databases, vector databases, custom storage solutions, and the associated tooling for provisioning, monitoring, and optimization at scale. By building robust abstractions and maintaining operational excellence in storage, the team allows other engineers to concentrate on product innovation, confident in the speed, reliability, and accessibility of their data.

The Cloud Infrastructure team is responsible for the foundational cloud primitives and deployment models that power Perplexity's products. This includes multi-tenant public cloud solutions as well as single-tenant and on-premises options for enterprise clients. As Perplexity expands its Computer and Enterprise products, this team will build and manage the security, isolation, and compliance layers essential for customer trust. They provide the deployment topologies, multi-region infrastructure, and core services that ensure Perplexity operates reliably and efficiently for both consumer traffic and large enterprises.

Black Forest Labs is seeking a Developer Experience Engineer to own the end-to-end developer experience for their generative AI platform, powering tools used by millions. This role is crucial for making the platform the choice for developers and agents alike, focusing on speed and ease of use from idea to production. You will identify and resolve friction points across the API, SDK, dashboard, and onboarding flows, working closely with product engineering, API/platform teams, research, and DevRel to ensure a seamless experience.

€140k - €190k

Scale AI

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.

$216k - $270k

Scale AI

Scale's Physical AI business unit is focused on solving data bottlenecks in Robotics, Autonomous Vehicles, and Computer Vision. This role involves applied research and developing ML pipelines for processing, training, and fine-tuning data collected by Scale, with an emphasis on optimizing algorithms and pipelines for efficient GPU execution in the cloud. You will advance research, shape Scale's offerings, and expand the frontier of data and model evaluation for Physical AI. As an ML Systems Engineer, you will design and build platforms for scalable, reliable, and efficient serving of foundation models tailored for physical agents, powering both internal research and external customer use cases.

$249k - $311k

Scale AI

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company.

$216k - $270k

OpenAI

As a Software Engineer, Quality and Developer Tools, you will build and own the systems that validate our device software. This includes designing and implementing test frameworks, regression infrastructure, hardware-in-the-loop labs, and release gates. You'll develop tooling and automation to ensure quality signals are trustworthy, integrate them into CI/CD pipelines, and create efficient workflows for engineers and QA technicians. The ideal candidate has deep experience in software quality, automation, developer tooling, and hardware-software integration, with a passion for building scalable and reliable systems for validation and release readiness.

AI needs a new infrastructure layer, and Modal is building it. We are seeking an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you will spend roughly half your time on technical contribution and half on people management. You will work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization. We are looking for an experienced engineering leader who thrives close to the work and enjoys building alongside their team when needed, earning trust through technical depth, communicating with clarity, and helping great engineers move fast and make sound decisions.

OpenAI

We are seeking engineers to build the AI systems that make Codex agents dependable in production. This role involves hands-on work across low-level systems and ML workflows, with the ability to debug Codex behavior end-to-end across the harness, model behavior, inference/runtime stack, GPU fleet, and product surface. You will collaborate with research, infrastructure, and product teams to design agent harness capabilities, run experiments, build frameworks for assessing production agent performance, and implement durable improvements from observed failures.

Nabla is seeking a Back-End Engineer to play a critical role in scaling its AI-driven healthcare platform. You will take ownership of key components of our back-end systems, collaborate closely with product and machine learning teams, and help shape the technical direction of our infrastructure. This is an opportunity to contribute end-to-end to a specific part of the product within a lean, fast-moving, and deeply technical engineering environment. Nabla is at the forefront of AI in healthcare, developing solutions that streamline clinical documentation and restore the human connection in patient care, backed by significant recent funding.

LangChain is seeking a systems/database engineer to join its internal database team, SmithDB. This team is responsible for building a storage and query layer purpose-built for AI observability and evaluation. The role involves designing, optimizing, and hardening the system, which has rapidly evolved from an idea to a production system. You will work on critical aspects like execution, storage layout, performance profiling, and scaling to handle trillions of agent traces, contributing to a greenfield system with ambitious engineering goals.

$175k - $240k

thinkingmachines

Thinking Machines Lab is seeking an infrastructure engineer to lead and enhance the security infrastructure for their foundation models. This role involves working across compute, storage, networking, and data platforms to ensure systems are secure, reliable, and scalable. The engineer will define security controls, architecture, and tooling, integrating security by default into the platform. Collaboration with research and product teams will be key to enabling rapid progress while maintaining robust protection for models, data, and environments.

$200k - $475k

Nabla is seeking a Senior Front-End Engineer to join a cross-functional squad focused on developing high-impact user experiences across web, desktop, browser extension, and mobile interfaces. This role involves setting UI quality and performance standards, evolving the design system, architecture, and tooling. You will lead the development of complex front-end features, drive technical decisions, partner with Design to create intuitive experiences, and collaborate with Product, ML, and Back-End teams to ship full-stack features. The position also includes mentoring other engineers and contributing to team best practices. Nabla is an AI company dedicated to improving healthcare by streamlining clinical documentation and workflows, backed by significant funding and led by experienced AI engineers.