Internal Fleet Coordinator Jobs

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team The Devices Platform team's mandate is to lay the foundation of Nuro's onboard software for our sensor and compute platform, including device drivers, inter-device protocols and pipelines, and device runtime APIs. Sensors and compute hardware are the eyes, ears, and brains of our self-driving robots. We are creating the hardware-agnostic platform to be used by the perception and autonomy SW stack, and to realize the full potential of our sensor and compute HW in reliability, quality, and performance. The projects we work on are high impact and high visibility within Nuro. This team is also responsible for working with internal stakeholders and external suppliers to define, evaluate, integrate the next generation HW platform for Nuro's products and to build the necessary tooling to assist continuous testing and validation. About the Work Design and develop sensor and compute systems for robotics Architect and/or deploy Nuro

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team The Devices Platform team's mandate is to lay the foundation of Nuro's onboard software for our sensor and compute platform, including device drivers, inter-device protocols and pipelines, and device runtime APIs. Sensors and compute hardware are the eyes, ears, and brains of our self-driving robots. We are creating the hardware-agnostic platform to be used by the perception and autonomy SW stack, and to realize the full potential of our sensor and compute HW in reliability, quality, and performance. The projects we work on are high impact and high visibility within Nuro. This team is also responsible for working with internal stakeholders and external suppliers to define, evaluate, integrate the next generation HW platform for Nuro's products and to build the necessary tooling to assist continuous testing and validation. About the Work Design and develop sensor and compute systems for robotics Architect and/or deploy Nuro

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team The Devices Platform team's mandate is to lay the foundation of Nuro's onboard software for our sensor and compute platform, including device drivers, inter-device protocols and pipelines, and device runtime APIs. Sensors and compute hardware are the eyes, ears, and brains of our self-driving robots. We are creating the hardware-agnostic platform to be used by the perception and autonomy SW stack, and to realize the full potential of our sensor and compute HW in reliability, quality, and performance. The projects we work on are high impact and high visibility within Nuro. This team is also responsible for working with internal stakeholders and external suppliers to define, evaluate, integrate the next generation HW platform for Nuro's products and to build the necessary tooling to assist continuous testing and validation. About the Work Design and develop sensor and compute systems for robotics Architect and/or deploy Nuro

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team The Devices Platform team's mandate is to lay the foundation of Nuro's onboard software for our sensor and compute platform, including device drivers, inter-device protocols and pipelines, and device runtime APIs. Sensors and compute hardware are the eyes, ears, and brains of our self-driving robots. We are creating the hardware-agnostic platform to be used by the perception and autonomy SW stack, and to realize the full potential of our sensor and compute HW in reliability, quality, and performance. The projects we work on are high impact and high visibility within Nuro. This team is also responsible for working with internal stakeholders and external suppliers to define, evaluate, integrate the next generation HW platform for Nuro's products and to build the necessary tooling to assist continuous testing and validation. About the Work Design and develop sensor and compute systems for robotics Architect and/or deploy Nuro

About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet High Performance Computing (HPC) team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: Build and maintain automation systems for provisioning and managing server fleets. Develop tools to monitor server health, performance, and lifecycle events. Collaborate with clusters, networking, and infrastructure teams. Partner with external operators to ensure a high level of quality. Identify and fix performance bottlenecks and inefficiencies. Continuously improve automati

About the Role We are seeking a Strategic Finance Lead for our GPU compute fleet. In this role, you will be a key partner to our inference and infrastructure teams, providing financial expertise to optimize our compute investments and drive capacity decisions. In this role, you'll develop deep expertise in the economics of AI compute, from token-level serving cost to the long-range financial planning of our GPU fleet. You'll build the models that inform Perplexity's capacity and make-versus-buy decisions, own the internal-cost analysis that underpins internal and external token pricing, and translate complex infrastructure dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and infrastructure, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. Key Responsibilities Finance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance Build and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modeling Develop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleet Serve as subject matter expert for Perplexity's compute capacity plan, owning source of truth on utilization, committed-versus-consumed spend, and capacity by vendor and cluster Build internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricing Analyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deployment Partner closely with inference and infrastructure engineering to

About the Team ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. Our team builds the software, tooling, and operational systems that help manage this fleet at scale. We work across production engineering, distributed systems, capacity management, and operational automation to improve reliability, reduce manual work, and make better use of available compute. About the Role We are looking for a software engineer with experience building or operating large-scale production systems. You will develop the systems that help manage the GPU fleet powering ChatGPT, including tooling for fleet health, capacity planning, operational automation, and incident response. You will work closely with infrastructure, research, and product engineering teams to improve reliability, developer productivity, and compute utilization. This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale. In This Role, You Will Build software and internal tools to manage large-scale GPU infrastructure supporting ChatGPT inference. Develop systems for capacity planning, fleet health monitoring, and resource utilization. Automate operational workflows, including incident detection, diagnosis, and response. Identify and address bottlenecks affecting fleet reliability, scalability, and performance. Partner with infrastructure, research, and product engineering teams to improve the compute platform. You Might Thrive in This Role If You Have experience operating large-scale production infrastructure, GPU clusters, or other compute-intensive distributed systems. Have a background in production engineering, site reliability engineering, infrastructure engineering, or platform engineering. Have built software that automates operational workflows and reduces manual work. Have worked with distributed infrastructure, cluster orchestration, or large-scale int

About the Role As a UAS Operations Specialist -Maintenance , you’ll support commercial drone delivery under Part 107 & 135 through scheduled and unscheduled fleet maintenance, inspection, and troubleshooting, while working alongside Flight Operations. All hires complete internal maintenance qualification, aircraft rating checks, and applicable pilot training to maintain operational readiness and safety. Based on technical expertise, aviation background, and fleet requirements, specialists can also be appointed as Maintenance Technicians . These roles require formal company authorization along with FAA approval when mandated . You’ll also perform aircraft rigging, component replacements, routine bench testing, and support Part 107 maintenance test flights and system validation alongside Flight Test and Engineering teams within FAA operating limitations and safety controls. What You’ll Do Perform scheduled and unscheduled aircraft maintenance, preventative maintenance, inspections, and repairs across the commercial UAS fleet according to manufacturer procedures and Part 135 specs. Diagnose and troubleshoot avionic, electrical, mechanical, and software system faults , telemetry logs, and maintenance software. Maintain detailed aircraft logs, component history records, airworthiness tracking, and maintenance documentation in compliance with company SOPs and FAA regulations. Conduct preflight inspection, airworthiness verification, post-maintenance test flights, and ground engine/motor runs prior to returning aircraft to active service. Manage spare parts inventory, tool control, Ground Support Equipment (GSE), and battery management systems to support high-availability flight schedules. Collaborate with Flight Test and Reliability Engineering to evaluate hardware failures, recommend design modifications, and refine maintenance procedures. Work with flight test personnel and cross-functional teams to execute approved test plans, flight test cards, procedures, and dat

The Software Systems Infrastructure team is responsible for aiding the Software Systems organization with all its internal tooling needs, development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles. We are a fullstack high-paced software engineering team. In this role, you will help establish infrastructure, design and develop software tools that will automate, track or audit processes and methods needed to build safety-critical software that will revolutionize transportation in the 21st century. Borrowing principles from avionics, automotive, and other safety-critical industries, you will work with software, systems and firmware engineers across the Zoox software organization, ranging from state-of-the-art AI Perception, all the way to highly-critical RTOS and middleware components. In this role, you will: Lead the design and development of Geofencer across the stack: a React/TypeScript single-page application with rich interactive map editing (deck.gl, Mapbox), and Python backend services (FastAPI, SQLAlchemy/GeoAlchemy2, Celery) on PostgreSQL/PostGIS. Own core geospatial data workflows: versioned geofence editing, road-network annotation, drivable-area computation and connectivity validation, and the Plan of Record release process that publishes operational constraints to the fleet. Integrate with the broader Zoox ecosystem: the Zoox Road Network (ZRN) map graph, S3 artifact pipelines, downstream fleet and mission systems, and ML-assisted annotation workflows. Operate production infrastructure: B

The opportunity We are looking for a Manager to join our Commercial team and strengthen our Direct Accounts & Leasing business in Germany. In this role, you will be responsible for developing and managing strategic relationships with key leasing companies, fleet customers, subscription providers, and other direct sales partners. You will play a central role in driving sustainable fleet growth, supporting commercial performance and ensuring that Polestar remains a preferred partner for the professional mobility market. By working closely with internal stakeholders and external partners, you will contribute directly to achieving our commercial objectives and strengthening our position in the German fleet market. This position is based in Germany, preferably in the Cologne area. Some travel within Germany will be required. The responsibilities In this role, you will be responsible for managing strategic direct sales partnerships while identifying new business opportunities and supporting the continued growth of Polestar's fleet business in Germany. Your main responsibilities include: Managing and developing relationships with key leasing companies, fleet customers, subscription providers, rental companies, and other direct sales partners Driving vehicle sales through existing partners while identifying and acquiring new Direct Accounts Leading regular business reviews with strategic partners to monitor performance, identify growth opportunities and strengthen long-term collaboration Negotiating commercial agreements/contracts and supporting the implementation of joint business plans and marketing activities Working closely with internal stakeholders across Sales including Remarketing, Marketing, Operations, Finance, Product, and Customer Support to ensure successful partner onboarding and business execution Monitoring market trends, competitor activities and fleet developments to identify opportunities and recommend commercial actions Supporting sales forecasting, pipe

The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders across vehicle development, software engineering, manufacturing, fleet operations, and business functions to deliver the major corporate milestones on the path to launch, and beyond. The quality of those decisions depends on how fast the right evidence reaches the right people — and that is what this role builds. As a Tooling contractor in PMO, you will build the internal web tools and dashboards that decisions get made on. Zoox generates an enormous amount of data — fleet and simulation logs, program and issue tracking, operational telemetry, map and route data — but very little of it arrives in a form a leader can act on. You will close that gap: pull from existing sources, model the data properly, and ship tools that answer real business questions, including geospatial tooling that scores and compares candidate service areas to inform where we deploy next. The feedback loop is short. Your users sit in the same building, your tools will show up in program and executive reviews within weeks of shipping, and you will own a piece of the stack end to end rather than work a ticket queue. In this Role, You Will... Build and ship internal web tools and dashboards on top of existing Zoox data sources, owning them from prototype through the version leaders rely on. Start from the decision, not the dataset — work with TPMs and engineering partners to turn a vague business question into a scoped tool, then iterate quickly on their feedback. Design the data layer behind those tools — queries, transformations, and pipelines that keep them current without manual intervention. Extend our geospatial tooling with new attributes, data sources, and visualizations that sharpen where and how we expand service. Handle real-world data honestly —

The AV Safety Software Data Engineer will play a critical role in supporting Zoox’s safety data reporting and compliance efforts. In this position, you will work with large-scale fleet data to gather, analyze, and triage events for internal safety learnings and external compliance requirements. As an AV Safety Software Data Reporting Engineer, you will operationalize defined requirements through data-driven analyses, dashboards, and workflow automations. You will implement innovative processes that are rigorous, diligent, and systematic, as well as applicable and repeatable, as Zoox continues to scale, to ensure reliable and safe operations. You will continually improve our internal data-gathering, analysis, and reporting processes and work closely with our Legal, Policy, Operations, Vehicle Engineering, Safety Design, Software, Hardware, and Communications teams to ensure a rigorous, disciplined, quantified engineering approach. A successful candidate will be able to support other Zoox safety efforts, including Operational Safety, Safety Planning, Policy, System Design, and Risk Assessment activities. In this role, you will: Create, implement, and maintain our internal and external safety data gathering, analysis, and reporting processes, and work cross-functionally with other internal organizations to ensure accurate regulatory reporting. Support the implementation of safety learnings & data programs, processes and dashboards for awareness and decision-making, including systematically ensuring representation and input from key internal stakeholders. <span style="font-size: 12pt;

Job Details: Job Description: This position requires candidates to upload a resume in English; you are welcome to upload multiple versions of your resume if you prefer but an English version of your resume will be required to be considered for this position. We are looking for someone who is passionate about working hands-on with both internal and external teams to deliver impactful Fleet and Scale software solutions that are critical to Data Center customers. You will be part of a team responsible for developing Customer Fleet and Scale capabilities that enable high-quality Intel server product launches and improve in-fleet customer experience. The ideal candidate is a quick learner, results-oriented, and comfortable operating in a dynamic environment. As a Cloud Software Development Engineer with uArch expertise, you will play a key role in developing customer fleet health software capabilities and ecosystem. The position focuses on the development, validation, maintenance, and debugging of cloud-scale platform monitoring, telemetry, diagnostics, and fleet screening software used by Intel and hyperscale cloud customers to improve Xeon platform quality, reliability, and deployment readiness. You will work closely with architecture, platform validation, manufacturing, and customer engineering teams throughout the server product lifecycle. The role involves developing customer-consumable software that provides visibility into system state, platform telemetry, hardware health indicators, and Intel Architecture internals to help customers solve in-field and at-scale operational challenges. Responsibilities Develop and maintain screening software capabilities supporting customer fleet health and platform quality initiatives. Design, develop, and optimize telemetry collection, diagnostics,

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. Role Description: Defense Unicorns is seeking a Senior Platform Engineer to join our Army team, focused on building and operating product-aligned platform capabilities that enable how our software is developed, validated, and experienced. This role is responsible for creating and owning persistent, always-on environments and integration layers across the UDS platform, including Fleet Management, Edge Management, and system-level components. These environments power internal dogfooding, UX validation, and customer demos, reducing reliance on ad-hoc local setups and enabling scalable, repeatable and delightful product experiences. Today, engineers are frequently pulled into demo setup and environment management of the suite of products, creating context switching and slowing product delivery. This role exists to solve that problem by establishing reliable, self-service environments and tighter system integration, allowing engineering teams to focus on building product capabilities while improving overall product quality and usability. You will operate at the intersection of platform engineering and product development, ensuring that the systems we build can be continuously exercised, validated, and experienced in real-world conditions. You will be responsible for advocating for a delightful customer product experience as the integrator of the product portfolio. What You'll Work On: Designing and operating always-on product environments for customer demos, internal use, and stakeholder access Building feature branch / preview environments to support UX and rapid feedback loops Enabling internal dogfooding through real, long-running deployments of UDS products Integrating core system components across Fleet Management, Edge Management, OS, and related services Reducing reliance on local environments by creating shared, reproducible infrastructure Supporting pathw

Zoox is looking for an experienced technical program manager on our Advanced Hardware Manufacturing Operations team to support development of manufacturing capacity for hardware assemblies used on our autonomous vehicle platform. This is a high visibility, strategic and technical role driving complex manufacturing capacity upgrades and expansion. In this role you will plan and own multiple capital expenditure (CapEx) projects from early concepts through final commissioning, supporting manufacturing of critical subassemblies on both current and next-generation vehicle platforms. You will partner with internal Zoox engineering teams and external partners to develop the capacity to deliver these key pieces of our autonomy hardware stack to the fleet at scale. In this role you will Manufacturing Project Lifecycle Management: Drive the planning, detailed engineering design, and execution for complex manufacturing facility upgrades and line implementation. External Partner Interface: Act as the primary technical liaison, managing relationships, schedules, and deliverables with both equipment integrators and engineering partners. Cross-Functional Integration: develop project level RASICs and build strong relationships across Manufacturing, Hardware, Facilities, Program Management and Supply Chain. Communication: Lead and prepare updates for department, program steering team and leadership level meetings. CapEx & Risk Mitigation: Own integrated program schedules from design through equipment installation and commissioning. Track capital expenditure budgets and proactively resolve critical path risks to ensure seamless operational readiness. Qualifications BS/MS in Industrial, Mechanical, Manufacturing Engineering, or a related discipline. 8+ years of TPM or operations experience, wi