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Ai Runtime Engineer Jobs

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Explore current ai runtime engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

O
4mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Team The Okta Workflows team is on a mission to accelerate automation for everyone. Workflows Runtime builds the services and engine that empower our customers to execute billions of workflows each day without writing a single line of code. Our product is a critical part of Okta's Identity Orchestration strategy, providing a powerful, flexible, and intuitive way for customers to connect identity to any application or system. We are a passionate, collaborative team building with modern technologies like Rust, GoLang, Typescript and Node.js on a large-scale, multi-cloud (AWS and GCP) Kubernetes environment. The Opportunity As the Sr. Manager of Engineering for Workflows Runtime, you will be a key leader in defining the future of Identity Orchestration at Okta. You will lead, grow, and inspire the engineering teams responsible for building the entire of the Okta Workflows platform to execute user flows in a high-scale and performant manner. This is a high-impact, high-visibility role where you will be responsible for both strategic product direction and operational excellence, ultimately helping our customers automate everything

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OpenAI
📍 San Francisco• Full-time• Remote• $380K – $500K/yr
4mo ago

About the Team Training Runtime builds the distributed systems that power OpenAI's largest model training runs - most recently GPT-5.5! The Data Movement area owns the infrastructure that keeps training jobs supplied with the right data at the right time, and keeps model state moving safely and efficiently across large clusters. Our work spans machine learning systems, distributed storage, high-throughput data loading, reliability engineering, and developer experience. Success means researchers can move quickly while training runs remain fast, reproducible, debuggable, and resilient at scale. About the Role We are looking for a deeply hands-on Technical Lead Manager to own datasets throughout our training infrastructure. This person will set the direction for how training jobs read data: the APIs, storage contracts, versioning model, benchmarks, debugging tools, and reliability guarantees that make data access consistent across current and future training frameworks. You will begin as the primary technical owner for dataset reads, working directly in the code while aligning researchers, training framework owners, storage teams, and infrastructure partners around a durable platform. The problem is deceptively hard at frontier scale: make enormous, heterogeneous datasets easy to consume, correct across distributed workers, observable when something goes wrong, and flexible enough to support pretraining, reinforcement learning, and multimodal training. In this role, you will Design and build a unified dataset read platform for multiple current and future training frameworks. Define dataset APIs, storage-format expectations, registration/versioning, and migration paths that make data access reproducible and maintainable. Build reliability into the read path, including stateful iteration, caching, fast restart, recovery, and clear operational contracts. Build terminal and web-based visualizers that let teams inspect text, multimodal, and reinforcement learning data late

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Snowflake
📍 Bellevue• Full-time• Remote• $250K – $380K/yr
4mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Streamlit in Snowflake (SiS) is our flagship app development platform, enabling data engineers, analysts, and developers to build and deploy interactive, data-driven applications directly within Snowflake. As Principal Engineer for the Streamlit in Snowflake team, you will be the top technical voice shaping how millions of users build and deploy apps on Snowflake's data platform. This role requires a rare combination: deep hands-on engineering expertise in Python/container runtimes, a systems architect's instinct for platform design, and the organizational influence to drive cross-team programs. You will define how SiS evolves from its container-native SPCS runtime and embedding/iframe SDK, to its developer experience, performance at scale, and integration with Snowflake's broader AI and data ecosystem. AS THE PRINCIPAL ENGINEER FOR STREAMLIT IN SNOWFLAKE YOU WILL: Define and own the architectural vision for the SiS platform spanning the SPCS container runtime, the warehouse runtime, the embedding SDK, developer tooling, and the Snowsight integration layer. Drive the platform's evolution toward its next-generation capabilities building on publicly shipping features like chromeless viewer URLs and IdP integration, and shaping the architectural direction for areas still in de

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Supabase
📍 Global• Full-time• Remote
5mo ago

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Compute is our newly launched microVM architecture for running agentic workloads, operating alongside our existing Edge Functions service for server-side TypeScript functions distributed globally at the edge. We want developers to be able to build truly global applications by distributing both compute and data globally. Infrastructure concerns like regions, cold starts, CPU and memory provisioning should fade into the background so developers can focus on iterating on business logic, and fast, flexible runtimes a growing range of agent-driven code. We are looking for experienced and passionate engineers to help us go further in this vision. What You’ll Own Help build & architect the Supabase Compute platform, built on Firecracker microVMs. Implementing monitoring, alerting, and OpenTelemetry tracing across the runtime, then using that visibility to drive optimizations that improve latency and reliability of the service. Working closely with the Firecracker, Deno, and other open-source teams, contributing to upstream and relaying our users' requirements. Participating in an on-call rotation to keep Compute healthy in production. Help manage and improve features like scheduled functions, background tasks, WebSockets streaming, ephemeral file storage, and custom routing. Integrating Compute more tightly with the rest of the Supabase stack — Auth, Postgres, Storage, and Realtime. Expanding the Compute runtime to support more use cases (AI inference, MCP servers, hosting simple websites, URL shorteners). Improving the DX of developing and debugging Compute locally through the Supabase CLI, including DevTools integration, logging, and production parity. What You’ll Bring At least 5 years of backe

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F
6mo ago

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. Your role & Mission The Site Reliability Engineering team at Forto is responsible for reliability and developer experience. We enable our development teams to write complex business logic by providing best-in-class tooling and infrastructure. We have a production environment based on GCP, Kubernetes, Terraform, and Helm. On top of that, we have self-service tooling written in TypeScript. “You build it, you run it” - our job is to make that real. This is a high-ownership role on a lean team that directly shapes how 70+ engineers build and ship software. If you care about platform quality and want your work felt immediately across an engineering org, this is a great match for you. What you will do Build out our runtime platform as a self-service product that enables our engineering teams to write code, run workloads, and drive engineering culture forward. Bring software development skills and practices into platform engineering, such as code quality, domain-driven design, and test-driven development. Own the developer portal and internal platform roadmap, including leading this year's overhaul of our CI/CD pipelines in collaboration with all product teams. Ensure site reliability by building observability solutions, deployment, and disaster recovery capabilities. Own reliability standards end-to-end through SLOs and error budgets — shaping how teams balance velocity and risk. Drive infrastructure cost optimisation across Kubernetes, MongoDB, and Datadog at scale. Improve our security posture through tooling, compliance work, and

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Postman
📍 New York• Full-time• $210K – $240K/yr
12mo ago

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity At Postman, we are revolutionizing the way developers build, trace, and automate API workflows with Postman Flows , a powerful visual programming tool designed to simplify the development and sharing of API-powered applications. With an intuitive drag-and-drop interface, Postman Flows enables teams to collaborate and showcase their APIs regardless of technical expertise. We are looking for a Software and Systems Engineer to help scale and maintain the Flows runtime system. This system runs mission-critical automations in the cloud, with a focus on low latency, high throughput, and high availability. You’ll play a vital role in developing, deploying, and operating our backend services and infrastructure in a Kubernetes-based cloud environment. We’re looking for an experienced engineer who is excited not only about hands-on building as we ship and iterate on a weekly basis to get our product ready for GA, but who can also serve as a role model and mentor to other engineers. This role involves making key technical decisions and improvements to the system, as well as effectively making impact through influence wit

node.jsawsazure
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Anyscale
📍 Bengaluru• Full-time• $50K – $50K/yr
12 days ago

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's need to detect and respond to security events across its production and corporate environments is growing as the company scales. We're looking for a Senior Detection and Response Engineer to own detection engineering and to lead incident response when it counts, coordinating the response and driving it to resolution. This is a high-ownership role with real room to shape how detection and response works at Anyscale. You will own the detection pipeline, the response runbooks, and incident response, reporting to the Head of Security and partnering with engineering. This role is based in India. In your first year, success looks like strong detection coverage across our cloud, endpoint, and runtime telemetry, a working correlation and alerting pipeline, and incident response runbooks that have been exercised in practice. What You'll Do Own and build detection coverage across cloud, endpoint, and runtime telemetry. Own a centralized correlation and alerting capability that turns telemetry into actionable detections. Own incident response: runbooks, escalation paths, and coordination during an incident, across corporate and production environments. Drive detection of anomalous activity across the environments

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Location Details: Gurugram HR At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team. Join Our Team... Join GoDaddy Capital, a team building technology that helps merchants access funding to grow and manage their businesses. GoDaddy Capital enables eligible GoDaddy merchants to access fast and flexible funding, with offers and funding managed through the GoDaddy Commerce experience. As a Software Engineer, you’ll work with expert engineers, product, and operations teams to build and maintain the services that power the Capital experience. You’ll primarily work with Node.js and NestJS, with opportunities to contribute to React-based applications as well. You’ll also get hands-on exposure to Kafka, AWS, Redis, MySQL/NoSQL databases, APIs, and AI-assisted development tools while working on systems that support merchant onboarding, funding, underwriting, and partner integrations. This is a great opportunity for an early-career engineer who enjoys solving problems, wants to learn from experienced engineers, and is excited to build software that directly supports small and growing businesses. What you'll get to do... Develop, test, and maintain backend services using JavaScript runtime environments and the NestJS framework, building and integrating REST APIs that power GoDaddy Capital and external partner platforms. Work within a distributed architecture by using Kafka for event-driven communication, Redis for caching, and databases that inc

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Salary Range: PLN 350,700 - 474,400 PLN Subject to alignment to the responsibilities and duties of the role About the job Help Graphcore’s Frameworks engineers in Gdańsk build the tools that make our hardware easier to use. Reporting to the Director of Frameworks, you will lead engineers contributing to our PyTorch and Triton teams. You will support their development, clarify priorities and keep feedback flowing across locations. This role blends people leadership with real technical ownership. You will contribute to PyTorch, Triton or related Frameworks work through design, implementation, review, debugging, testing or performance analysis. You will help engineers deliver high-quality work while staying fully connected to their teams. It is a rare chance to shape both software outcomes and engineering culture at a growing site. The team and culture Frameworks makes Graphcore hardware work seamlessly with the tools machine learning engineers and researchers use. The team builds PyTorch support, an out-of-tree Triton backend, framework integrations, runtime components, kernels, tests, performance tooling and user documentation. Work happens across locations, so clear writing, shared context and constructive challenge matter. You will help Gdańsk engineers stay close to technical leaders, team priorities and the decisions shaping delivery. People are trusted to take responsibility, speak up and move with purpose. The team values learning, maintainability, performance, ease of use and thoughtful collaboration with open-source communities. What we’re looking for Experience managing and developing software engineers, including coaching, feedback, performance management and career development Strong software engineering capability, with professional experience in C++ and Python Clear written and verbal communication in English and Polish, especially when explaining complex technical context Ability to build alignment across teams, locations and disciplines P

pythonmachine learningartificial intelligence
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A
1mo ago

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's need to detect and respond to security events across its production and corporate environments is growing as the company scales. We're looking for a Senior Detection and Response Engineer to own detection engineering and to lead incident response when it counts, coordinating the response and driving it to resolution. This is a high-ownership role with real room to shape how detection and response works at Anyscale. You will own the detection pipeline, the response runbooks, and incident response, reporting to the Head of Security and partnering with engineering. This role is based in India. In your first year, success looks like strong detection coverage across our cloud, endpoint, and runtime telemetry, a working correlation and alerting pipeline, and incident response runbooks that have been exercised in practice. What You'll Do Own and build detection coverage across cloud, endpoint, and runtime telemetry. Own a centralized correlation and alerting capability that turns telemetry into actionable detections. Own incident response: runbooks, escalation paths, and coordination during an incident, across corporate and production environments. Drive detection of anomalous activity across the environments

awsazurekubernetes
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Perplexity
📍 San Francisco• Full-time• Remote• $220K – $405K/yr
4mo ago

About the Role The Enterprise Knowledge Platform team builds the data layer that lets Perplexity's agents reach into the world's software. This team owns the systems that turn hundreds of heterogeneous integrations (native, MCP, CLI, first-party, and third-party APIs) into one unified, reliable, well-typed surface that agents can call with confidence. This platform is the core layer that forms the knowledge layer for Computer: it is how the agent discovers what tools exist, understands what each one means, decides which to call, and grounds its reasoning in real, permissioned, up-to-date enterprise data. We maintain a knowledge layer above connectors that pushes and pulls context into them, rather than letting each connector hoard org knowledge on its own, making Computer the source of truth for institutional knowledge. Models are commoditizing; grounded, actionable, permissioned access to a customer's real systems is not. When this layer is fast, accurate, and semantically rich, every agent built on top of it gets smarter; when it is weak, no amount of model quality compensates. Key Responsibilities Own the design and implementation of the connector runtime, the system that registers, hosts, and executes built-in connectors, hosted MCP servers, and CLI-backed tools behind a single agent-facing interface. Build and extend the semantic layer: tool and entity schemas, capability metadata, relationship modeling, and the mechanisms for capturing and applying organization- and account-specific corrections and knowledge. Design the tool-discovery and tool-selection surfaces that agents use to find the right connector and call it correctly, optimizing for both model accuracy and context efficiency. Make agent loops robust: structured results, partial-failure and retry semantics, idempotency, pagination, rate-limit handling, and observability into every tool call an agent makes. Define authentication, authorization, and credential-isolation patterns for connectors (OAuth fl

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding people. Today, we’re harnessing the boundless possibilities of AI to build the next era of computing in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Be part of the team and explore how you can make a lasting impact on the world! We are looking for a Senior Manager, Software Engineering to lead the evolution of our DevOps, Build Engineering and Infrastructure team. You will build and guide a high-performing engineering team responsible for building, testing, verifying and releasing core software that help NVIDIA employees deliver the core CUDA driver, runtime, and related language specific libraries in C++, Python and Rust such as CCCL (Thrust, CUB, libcudacxx), cuda-python, numba-cuda, and cuda-rust. This hands-on leadership role combines people development, CI/CD, technical strategy, architecture, and end-to-end operational ownership. What you’ll be doing: Lead, hire, mentor, and grow a high-performing team of engineers building employee-facing products software development, CI/CD, and agentic AI experiences. Define the engineering vision, architecture, multi-quarter roadmap, and success measures for a cohesive developer experience and the platform serving a global workforce. Plan and manage team execution, including project prioritization, workload balancing, achievement tracking, dependency management, and predictable delivery. Provide hands-on technical leadership across Perforce, Git, GitHub, GitLab, and multiple CI/CD pl

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About the Job: LaunchDarkly is looking for a Senior Developer Advocate based in the San Francisco Bay Area. The developer community is deciding right now what the AI era of software looks like, and much of that conversation happens in person: meetups, demo nights, hackathons, and hallway conversations across the city. You'll own our Bay Area presence: which rooms we're in, how often we're there, and what we do with what we learn. That means being in those rooms consistently, as a genuine participant: building long-term relationships with the practitioners shaping how agentic software gets built, bringing their signal back to LaunchDarkly, and showing them, credibly and only when it's relevant, how runtime control changes what they can ship. It's a role for someone who would be going to these events anyway. Responsibilities: Show up consistently : attend Bay Area developer events several times a week (meetups, demo nights, hackathons, conferences), building real relationships with AI and platform engineers over months, not transactions over days Listen more than you talk : bring back structured signal on what practitioners are building, where they're stuck, and how they talk about agents, releases, and runtime control Demonstrate, don't pitch : build and show small, credible demos on AgentControl and the LaunchDarkly platform, and hold your own when the technical questions get hard Add to the conversation : write event recaps and practitioner-grade content that people in the community actually want to read, rather than broadcasting at them Earn the right to convene : over time, organize gatherings around problems developers actually have, not around LaunchDarkly as a brand Feed the team : route relationships, signal, and opportunities to the owners who can act on them, with enough context attached to act What Success Looks Like: LaunchDarkly has a consistent, welcome presence in the rooms where the AI developer conversation is happening, and you decided which rooms t

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Modal
📍 New York• Full-time• $200K – $350K/yr
6mo ago

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models towards higher throughput and lower latency, we’d love to hear from you! Requirements: 5+ years of experience writing high-quality, high-performance code. Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT). Familiarity with Nvidia GPU architecture and CUDA. Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc). Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).

Title: Senior Product Designer — Enterprise Security Platform Location: Remote — United States; preference given to San Francisco Bay Area candidates Reports to: VP of Product & Design Focus: Approximately 80% Product Design / 20% Brand & Marketing Design Eligibility: U.S. citizenship is required due to the role’s support of federal government projects. About RapidFort RapidFort is a software supply chain security platform. We help enterprises understand what's running in their software, reduce vulnerability risk, and ship curated, near-zero-CVE container images, backed by runtime-informed analysis and automated attack surface reduction. Our users include security teams, platform engineers, developers, administrators, and enterprise leaders. We're Series A, with $42M raised, and we're a small, senior team moving quickly. The role This is a product-first design role. You'll own major parts of the RapidFort platform and work directly with Product and Engineering from early problem definition through shipped software. The problems are genuinely complex: thousands of vulnerabilities across images, clusters, and workloads; relationships between software artifacts; policies, permissions, and enterprise environments; and very different technical users with very different needs. We want someone who enjoys that complexity. You should be equally comfortable thinking about the overall system and getting into the details of how a table, filter, workflow, visualization, or interaction should behave. About 80% of your time will focus on product. The other 20% will help keep our website, launches, sales materials, and broader brand consistent with the product, in partnership with Marketing and external specialists. You'll start as a hands-on IC and the senior design voice at RapidFort. You'll help establish how design operates: how we frame problems, review work, collaborate with Engineering, use research and data, and decid

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