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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Value Engineering is responsible for our largest Fortune 500 customers and owns their transformation journey by working on the very frontier of what’s possible with data and AI on the Celons Platform. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis Platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Principal Value Engineer, you are a visionary leader and industry authority spearheading global AI and data-driven business transformations for major organisations, driving the customer’s end-to-end value journey. Operating as the expert technology and business advisor, you will partner directly with Fortune500 CxOs and Board members to reimagine their operating models and optimize critical workflows using the Celonis Context Model. As the AI strategist and thought leader, working alongside Senior and Lead Value Engineers, your core mandate is to design, negotiate, and steer monumental, multi-year programs that permanently alter the competitive landscape for your customers. The work you’ll do: Value Sell

About the Team Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks. Our team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. We are defining how people delegate work, understand what an agent is doing, and stay in control. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration. About the Role We are looking for Senior and Staff Full Stack Software Engineers to build Dots product experiences from the interface through the services that power them. You will help define how people delegate tasks to personal agents, follow their progress, and collaborate with them over time. This role combines hands-on product development with the systems work needed to make persistent, asynchronous agent experiences reliable. In this role, you will: Build and launch features across web interfaces, APIs, backend services, and data models. Create workflows for task creation, progress updates, agent feedback, and results that remain coherent across sessions and devices. Translate emerging model capabilities into product prototypes with research, product, and design partners. Design clear interfaces between product surfaces and agent execution systems. Improve performance and reliability across the stack, including user-facing latency and recovery from partial failures. Own projects from early exploration through architecture, implementation, launch, and iteration based on user feedback. Help establish technical direction, testing practices, and observability as the product grows. You might thrive in this role if you: Have significant experience building and shipping products across frontend and backend systems. Can move comfortably between user interfaces,

About the Team Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks. Our team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. We are defining how people delegate work, understand what an agent is doing, and stay in control. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration. About the Role We are looking for Senior and Staff Software Engineers to build the mobile web experience for Dots. You will create responsive, accessible interfaces that let people start work, follow progress, and guide their agents from a phone or browser. You will help establish interaction patterns for ongoing, asynchronous work and make sophisticated agent capabilities feel clear and approachable. In this role, you will: Design and ship mobile web experiences for creating tasks, reviewing agent activity, and providing feedback or direction. Build interfaces that handle streaming updates, long-running tasks, interrupted sessions, and changing connectivity. Improve responsiveness, loading performance, accessibility, and usability across screen sizes and browsers. Partner with design and product to prototype interaction patterns that give users visibility and control over agent actions. Work with backend and full stack engineers on APIs, client state, and reliable synchronization between the interface and agent services. Own features from exploration and technical design through launch, measurement, and refinement. Help set frontend architecture and engineering practices while staying hands-on with implementation. You might thrive in this role if you: Have substantial experience shipping polished web applications, with deep expertise in mobile web development

Join NVIDIA, a company with over 25 years of experience advancing visual technology, personal gaming platforms, and high-performance computing! We have pushed innovation through our innovative technology and talented team. As we expand into AI's vast possibilities, we need a Senior Security Engineer, Architecture Patterns to build the future of computing. In this role, you will be involved in the latest AI developments, uphold security standards, and contribute to powerful projects alongside top talent in Santa Clara, CA. Join us! What you'll be doing: Develop shift-left solutions that embed security standards directly into AI-generated code, ensuring constraints, scaffolds, rules, and guardrails are applied during the coding process rather than post-shipment. Convert written security standards into machine-enforceable formats, enabling programming assistants and pipelines to apply them seamlessly without manual interpretation. Engineer verification workflows that confirm generated code meets claimed standards, providing evidence for downstream release gating and policy enforcement. Maintain and evolve evaluation harnesses, reference repositories, known-bad cases, and encouraged findings to ensure constraint-steered agents produce conformant code amid changing models, patterns, and tooling. Convert approved architecture patterns into secure, runnable reference implementations, such as templates, Helm charts, container images, and worked examples, ensuring their reliability as platforms evolve. Elevate AI solutions from prototypes to enterprise-grade products, focusing on versioning, observability, latency and cost budgets, access control, audit, graceful failure, and a detailed support and deprecation model. Set the enterprise-grade architecture standards for AI tooling in a security context, determining qualification criteria and monitoring adoption and outcomes to ensure effic

At NVIDIA, we’re building GeForce G-Assist — an on-device AI assistant that combines Small Language Models (SLMs), retrieval systems, and hybrid cloud capabilities to deliver responsive, context-aware assistance inside the GeForce ecosystem. We work closely across engineering and product teams to ensure G-Assist performs reliably in real-world scenarios. What you'll be doing: Together, we focus on how models behave in production, not just on benchmarks. Evaluate and improve Small Language Models used in GeForce G-Assist, with an emphasis on accuracy, robustness, and conversational reliability. Identify and mitigate conversation and context contamination, including state drift, prompt leakage, and retrieval cross-talk. Work with SLM and VLM architectures to support text and multimodal interactions. Collaborate on hybrid architectures that combine local SLMs with cloud-based models. We value engineers who enjoy thinking across the full system—from model behavior to runtime performance. Optimize local inference using llama.cpp, including quantization, memory usage, and performance tuning. Read, write, and optimize C/C++ code in performance-critical paths. Design and integrate retrieval-augmented generation (RAG) systems that ground responses in system and user context. Support agentic AI workflows, enabling planning, tool use, and multi-step execution. What we need to see: 5+ years of validated experience in system software or a related field, with an M.S. or higher degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). We’re looking for teammates who enjoy solving real problems, learning as they go, and collaborating in a tight-knit environment. Strong ability to read and write C/C++ code in systems-level or performance-sensitive environments, along with proficiency in Python. Hands-on experience w

FEQ128R31 Solutions Engineer At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes AI and data analytics accessible to everyone in their own context. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders . We aim to build leaders who will drive both data and business strategy for our customers, leading the front lines of Databricks growth as well. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Solutions engineers go further than telling them what's possible; they build working prototypes and advise customer teams on how to get to production. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it! This will be an in-office role and candidates must be based in Chicago, IL. Relocation assistance will not be provided. Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates. More About Databricks YouTube The impact you will have: Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in AI and data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on mu

Are you passionate about the future of autonomous vehicles? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team to help build the next generation of self-driving technology! In this role, you’ll work alongside experienced engineers to develop advanced 3D world models that combine map and perception data, enabling vehicles to safely navigate complex roads and intersections in the U.S. and China. This is a fantastic opportunity to grow your skills and contribute to groundbreaking projects at the heart of our vision for autonomous driving. What you'll be doing: Contribute to Core Autonomous Driving Systems: Help develop and refine systems that integrate state-of-the-art perception and mapping technologies for use in diverse driving environments. Build Real-Time 3D World Models: Assist in creating dynamic 3D models by combining data from sensors and external sources to support planning and navigation. Support Mapless Driving Capabilities: Work on enriched bird’s-eye-view (BEV) models to enable autonomous vehicles to navigate complex urban settings without relying solely on high-definition maps. Enhance Scenario Understanding: Help build static obstacle and occupancy grids, and generate occlusion masks to improve the vehicle’s understanding of its environment. Collaborate Across Teams: Work closely with perception and planning teams, learning from experts and contributing to shared goals. Maintain High Standards: Write high-quality code and follow automotive industry best practices for safety and reliability. What we need to see: PhD with 1+ year, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong relevant software development experience, ideally with some exposure to robotics, autonomous vehicles, or relat

FEQ427R443 Solutions Engineer At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes AI and data analytics accessible to everyone in their own context. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders . We aim to build leaders who will drive both data and business strategy for our customers, leading the front lines of Databricks growth as well. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Solutions engineers go further than telling them what's possible, they build working prototypes and advise customer teams on how to get to production. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it! This will be an in-office role and candidates must be based in our New York City (Midtown location). Relocation assistance will not be provided. Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates. More About Databricks YouTube The impact you will have: Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in AI and data analytics to excite customers about Databricks. You will develop into a ‘cha

GAQ427R224 We're hiring an AI Automation Engineer to build the next generation of IT automations to improve the employee experience at Databricks. You'll be building production-grade AI agents and automation services that understand employee requests, retrieve enterprise context, reason across systems, invoke tools and APIs, and take action safely. The goal isn't to automate existing workflows the same way we've done it for the past decade. It's to reimagine how employees interact with IT through intelligent, contextual, and increasingly agentic experiences and to do it on Databricks. What you will do Build AI agents and automations: Design, deploy, and run AI agents that support all of our employees. The agents interpret natural-language requests, gather context, select tools, execute actions, and communicate outcomes. Maintain MCP servers across our AI tools portfolio. Build agentic workflows that decompose goals into steps, handle failures, pause for human approval as needed, and resume their workflows. Ground agents in trusted internal knowledge (policies, runbooks, system documentation, SOPs, etc). Turn high-volume support CUJs into self-service experiences: Identify repetitive, high-friction IT interactions and convert them into reliable AI automation experiences. Instrument AI automations with logs, metrics, and feedback loops. Design and implement AI automations with identity governance, tools RBAC, human-in-the-loop approvals where applicable, audit trails, and failure handling. Create shared automation infrastructure (credential vaults, event ingestion, scheduling, approval workflows, cache/state stores) that other teams can build on. Work with IT Support, Employee Experience, Security, IAM, Infrastructure, and Engineering to identify automation opportunities and take solutions from prototype to production. Write and maintain high-quality technical/engineering documentation that clearly communicates system designs, operational procedures, and architectural

About the Team The Plugin Developer Platform team builds the APIs, SDKs, and tools that let people extend ChatGPT and Codex. We work on plugins, connectors, the Model Context Protocol (MCP), and interactive apps. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work covers plugin creation and publishing, the systems that run plugins across our products, and open standards that developers can build on. About the Role We’re looking for an experienced Android engineer to bring plugins, connectors, and interactive apps to life on mobile. You’ll build the Android experiences and platform foundations that help developers extend ChatGPT and help users discover and use those capabilities from their devices. You’ll work across native Android interfaces, developer-facing APIs, and the systems that support extensibility on mobile. You’ll collaborate closely with product, design, and platform engineers, owning features from early exploration through implementation, launch, and iteration. You’ll also engage directly with developers and partners to understand how their workflows translate to Android. Their experience will inform the interfaces and abstractions you build, the problems you prioritize, and the tradeoffs you make. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build Android experiences for plugins, connectors, and interactive apps within ChatGPT. Develop reusable Android components and interfaces that support a growing ecosystem of developer-built experiences. Partner with platform engineers to connect native mobile experiences with APIs, SDKs, and backend systems. Work with developers and partners to identify integration challenges and improve the experience of building for mobile. Improve a

Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it. OpenTeams exists to make ownership possible. Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves. If that sounds like your kind of work, we'd like to meet you. Platform Engineer, AI/ML Infrastructure Location: U.S - Remote OR Hybrid - Washington, DC, Denver, CO or Colorado Springs, CO. Work Authorization: U.S. citizenship required Clearance: U.S.-Remote Opening: An active clearance is not required. Candidates must be eligible and willing to obtain and maintain a U.S. security clearance. Hybrid Opening: An active TS/SCI clearance is preferred. Candidates may also be considered if they previously held a TS/SCI with CI polygraph or currently hold an active TS or Secret clearance. Salary Range: $120,000–$250,000 USD, dependent on experience level and location Openings: Two positions are available: One hybrid position: Candidates must be located in or willing to work hybrid from Washington, DC; Denver, CO; or Colorado Springs, CO. An active TS/SCI clearance is required. Up to 15% travel is required. One U.S.-remote position : Candidates may work remotely from anywhere in the United States. An active clearance is not required, but candidates must be willing and able to undergo the process required to obtain and maintain a U.S. security clearance. Candidates will be considered for the opening that best aligns with their location, clearance status, experience, and work preferences. Candidates who meet the requirements for multiple openings may be considered for more than one. About the Role

Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it. OpenTeams exists to make ownership possible. Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves. If that sounds like your kind of work, we'd like to meet you. Senior Infrastructure Engineer - AI/ML Platform Location: U.S - Remote Work Authorization: U.S. citizenship required Clearance: An active clearance is not required at the time of hire. Candidates must be able to obtain and maintain a Secret security clearance, which includes a federal background investigation. Salary Range: $85,000 - $120,000 USD, dependent on experience level and location About the Role We're looking for a Systems Engineer to join our platform support team. This is a role for someone early in their infrastructure career who wants real ownership of production systems and is willing to earn it by being the person others can count on. The work runs across two streams. Internal Platforms covers the systems OpenTeams itself runs on — identity, cloud, internal applications, our website. You own that surface end to end, which means you're the first responder when something breaks and the one who fixes the underlying cause so it stops happening. Project Support means backing up our infrastructure engineers on the platforms we build and operate for customers, including government programs. Both streams start at the front line. That's the entry point, not the destination - as you build real context, the scope grows toward environment builds, deployment configuration, and eventually owning pieces of a platform outright. The two sides

About the Team The Growth Platforms team builds the systems and operating foundations that help OpenAI grow responsibly. We partner across the product portfolio to connect customer signals, identity and consent, campaign workflows, measurement, and product experiences into an AI-enabled growth engine. Our work helps teams launch, learn, and scale with a high bar for data quality, privacy, reliability, and customer trust. About the Role We’re looking for an experienced marketing technology and operations leader to drive cross-functional work at the intersection of growth, measurement, data, and automation. Your mission will be to turn fragmented tools, signals, and workflows into reliable, measurable, AI-enabled capabilities that teams can use safely at scale. You’ll work across Growth, Marketing Operations, Product, Engineering, Data Engineering, Data Science, Security, Privacy, Legal, and Revenue Operations, as well as external advertising platforms, measurement providers, and implementation partners. You’ll translate business requirements and privacy constraints into data contracts, integration designs, rollout plans, and reliable first-party data systems. This is a hands-on, high-impact role for someone who brings structure to ambiguity and moves from event schemas, APIs, and data quality assurance to operating cadences, partner enablement, and executive updates. This role is based in San Francisco or New York City with a hybrid office expectation. In this role, you will: Own the operating model for Growth’s marketing technology stack across identity, consent, audiences, activation, measurement, and experimentation. Own and operate the complete paid-media tracking and measurement system, including website pixels, server-to-server conversion events, mobile measurement integrations, identity and consent controls, attribution methods, and timely signal delivery to advertising platforms. Design and implement event schemas, data mappings, APIs, and integrations; valid

About the Team We are building the Defense Factory to help enterprises find and fix security vulnerabilities with AI. We build infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to investigate security findings, carry out approved actions, and verify results. Our focus is turning AI capabilities into reliable security outcomes, starting with finding and fixing vulnerabilities and expanding into investigation, detection, and response. That means solving challenging problems in cloud environments, orchestration, security, and collaboration, while making the experience straightforward for the people directing and reviewing the work. We’re a team that values initiative, close relationships with customers, and exceptional engineering craft. We take ownership, learn quickly, and communicate directly and kindly. About the Role We’re hiring backend-focused Product Engineers across our platform and security product teams. You’ll build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel. You’ll work primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You’ll own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers. In this role, you will: Work directly with customers to build developer and security workflows, from getting a project running to investigating findings, reviewing agent-generated changes, and verifying fixes. Build Go services and APIs for provisioning cloud environments, running agents in customer infrastructure, and integrating with source control, CI, and other developer tools. Design reliable orchestration for long-running, parallel work, including durable state, retries, cancellation, and recovery. Build security i

About the Team The Ona team at OpenAI is helping build the software factory for the enterprise. We build infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to make progress across the software lifecycle—beyond a single developer’s laptop or active session. Our focus is helping enterprises move from experimenting with agents to using them reliably in production. That means solving challenging problems in cloud environments, orchestration, security, and collaboration, while making the experience straightforward for the people directing and reviewing the work. We’re a team that values initiative, close relationships with customers, and exceptional engineering craft. We take ownership, learn quickly, and communicate directly and kindly. About the Role We’re hiring backend-focused Product Engineers across our platform and security product teams. You’ll build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel. You’ll work primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You’ll own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers. In this role, you will: Work directly with customers to build developer and security workflows, from getting a project running to investigating findings, reviewing agent-generated changes, and verifying fixes. Build Go services and APIs for provisioning cloud environments, running agents in customer infrastructure, and integrating with source control, CI, and other developer tools. Design reliable orchestration for long-running, parallel work, including durable state, retries, cancellation, and recovery. Build security into execution workflows through clear permissions, credential handling, is