Fleet Operations Specialist 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 Role Nuro's autonomous vehicle platform has to work - not just in the easy cases, but in the hard ones. The ones we design for, simulate at scale, and deliberately break to understand. We're looking for a Senior/Staff Systems Engineering TPM who owns the technical substance of how we validate autonomy: what we test, why we test it, and whether our coverage actually means something. This is not a planning or scheduling role. You'll work embedded with Autonomy, Simulation, and Systems Engineering teams to drive the technical rigor behind our validation program — defining scene sets, structuring fault injection campaigns, and ensuring our simulation coverage is meaningful, traceable, and systematically growing. The program infrastructure is owned elsewhere; your job is to make sure what's inside it is technically sound. About the Work Scenario & Coverage Strategy Understanding the taxonomy of challenging scene sets used for auto

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 Role Our team is growing and we are looking for experienced machine learning researchers and engineers to join us. In this role, you will apply your expertise in machine learning to solve an array of challenges in Nuro's autonomy stack — detection with sensor fusion, tracking, fine grained classification, human intent understanding, to name a few. About the Work You will be involved in all stages of problem solving, including initial proof of concept, model iteration, onboard deployment, and on-road performance monitoring and troubleshooting. You will develop techniques and/or processes that allow us to train models that are able to utilize massive scale of data, but still keep the model onboard latency in check so that it is deployable. You will have the opportunity to take a novel problem, assume the ownership, and just go deep on it. About You Recent experience in applying state-of-the-art deep learning techniques to solving auton

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 role In this role, you will collaborate closely with researchers and engineers on the Learned Behavior teams to tackle plan generation challenges in autonomous driving. You’ll apply state-of-the-art generative modeling techniques—ranging from cutting-edge diffusion, flow matching, energy-based models, and SoTA algorithms—in order to develop novel solutions that generate safe, comfortable, and efficient driving behaviors in the most challenging real world situations. Beyond core research, you’ll own the end-to-end lifecycle of your models, productizing them for robust, real-world autonomous driving deployments on a global scale. About the Work Develop and scale state-of-the-art generative models—especially diffusion architectures, flow-matching techniques, and energy-based models —for autonomous plan generation. Build generative models with foundation models. Leverage large language models and world foundation models for r

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 Role Simulation is at the core of autonomy development. The Simulation team is responsible for building the simulator that powers all simulations at Nuro, allowing us to develop and test our autonomous driving technology with confidence. The team focuses on solving many novel simulation problems with innovative and creative solutions - from synthesizing sensor data and automated scenario generation, to performance and resource optimization, to framework and interface design - collaborating with teams across the company to set and expand the range of what’s possible to simulate. About the Work Expand the functionality, performance, and usability of our simulator. Develop innovative solutions to improve simulation realism and coverage through synthesis. Design and build solutions to unify and simplify the interactions of complex systems. Work across a large array of potential efforts, ranging from new greenfield projects to expandi

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 Role The mandate of the learned behavior team is to use advanced machine learning techniques to accelerate software progress. In this role, you will work closely with the software vertical teams to understand their pain points and explore novel and advanced machine learning methods to solve practical real-world challenging problems. To name a few, using self-supervised learning to learn robust representations, exploring techniques for out-of-distribution detection to solve long tail problems, adjusting reinforcement learning techniques for motion planning, working on trajectory prediction and motion planning, investigating the robustness of models to mitigate uncertainties, or trying to build an end-to-end driving system. If you love solving challenging new problems with a mindset of deriving practical solutions to eventually be used on the vehicle, come join us! About the Work Work on scalable machine learning based planning and pre

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 Work Develop and scale state-of-the-art generative models—especially diffusion architectures, flow-matching techniques, and energy-based models —for autonomous plan generation. Build generative models with foundation models. Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation. Optimize generative models using reinforcement learning to improve interactive reasoning. Explore reward modeling/learned verifier using generative models. Explore joint prediction and planning and self-play. Leverage generative models for active learning and world modeling. Develop controllable generative models to guide the generation process towards desired goals, conditions and rewards. Collaborate across autonomy teams while developing holistic solutions to top autonomy challenges. Understand issues, propose ideas, prioritize work and develop solutions to solve them, evaluate

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Software Engineer, you will own the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. Build features for agentic systems including multi-layered guardrails and data retrieval optimization. Develop data pipelines and machine learning infrastructure to make data sources accessible by agents. Collaborate with cross-functional teams to execute backend solutions for secure environments. Participate in customer engagements to understand requirements and deliver technical solutions. Define requirements with stakeholders and implement features until they are accepted. Contribute to the platform roadmap and product strategy for the Federal business. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes

Warp: We're Building the Platform for Agentic Development Warp began with the vision of reimagining one of the fundamental dev tools, the terminal, to make it more usable and powerful for all developers. As AI has advanced, Warp has evolved beyond its terminal roots into a full agentic development environment: a workbench for dispatching agents to code, deploy, and debug production software. Today, we have three products. Warp is the agentic development environment born out of the terminal, built on an orchestration platform for running hundreds of cloud agents in parallel. And Warp Factories is our newest product: infrastructure for engineering teams to build and run their own cloud software factories, where fleets of agents triage, spec, implement, review, and verify code across a company's entire SDLC. Together, these products are creating the scaffolding for developers to build their own workflows for working with agents. In Warp, you can seamlessly switch between running commands, launching agents, and iterating on code with agents, eliminating the need to jump between a terminal and an IDE. It all works with our built in SOTA agent or top agents like Claude Code, Codex, Gemini CLI, and OpenCode. On the orchestration side, you can build custom agents that are triggered programmatically, tracked centrally, and shared across full teams to run agents across organizations without compromising security or reliability. Continue a cloud agent run locally in Warp or on the web with one click. And with Warp Factories, teams can go a step further and set up entire automated workflows around their SDLC, retaining full control over their data, models, and compute along the way. With over 1 million active developers at companies including Docker, Ramp, and Peloton, and over half of the Fortune 500, and revenue that grew over 44x last year, Warp is one of the fastest growing startups in the AI development space. Our mission has remained the same even as AI has advanced: to e

NVIDIA DGXC Storage team handles some of the fastest training and inference tasks. Every GPU cycle depends on a storage platform built to keep tens of thousands of accelerators continuously busy. It maintains exabytes of data securely and powers the largest AI workloads worldwide across cloud, neocloud, and on-prem setups. With the growth of accelerated computing, storage is essential. It can make the difference between effective GPU use and wasted potential, and between launching a frontier model on time or missing the deadline by months. We’re looking for a hands-on Storage Software Engineer to join the storage team as an individual contributor and technical lead. You will contribute to open-source parallel and distributed file systems and keep our largest GPU clusters fast, reliable, and durable. You will stay deeply hands-on: writing and reviewing production code, chasing root causes in the field, and setting the configuration and tuning standards our GPU fleets run on. This is a chance to do foundational storage engineering for the AI era at the company that introduced accelerated computing. What you’ll be doing: Contribute to open-source file systems. Contribute code to open-source parallel and distributed file systems, and distributed object storage. Upstream fixes and features, and engage directly with the upstream communities and maintainers. Serve as a hands-on storage software lead. Write and review production code yourself, and read kernel, NFS, NVMe-oF, or SPDK source when a bug requires it. Make the final technical calls on storage deliveries against measurable targets. Triage and troubleshoot at scale. Triage, troubleshoot, and root-cause large, complex storage issues across very large GPU clusters (tens of thousands of GPUs) — I/O and metadata performance, data corruption, and recovery. Validate architecture and capabilities. Validate storage architecture, capabilities, performance, and durabil

About the Team AI will change how the world works. Human connection will shape what it becomes. OpenAI’s Events and Experiences team, part of Business Marketing, carries the critical responsibility of bringing people together around OpenAI’s mission – building artificial general intelligence that benefits all of humanity. We strive to put human benefit in the spotlight and craft experiences that build trust, spark possibility, and make the future feel within reach and exciting. We are not a traditional events team: we move with extreme speed, rigor, and precision. We use AI tools to rethink everything from the first plan to the final guest moment – and we bring grit, joy, humor, and extraordinary creative talent to create what has not existed before. About the Role We’re looking for an Experiential Producer to put OpenAI’s latest technology in people’s hands. You’ll produce experiences where people discover something they didn’t know they could do with our products, whether they’re trying ChatGPT for the first time or building with our newest developer tools. From intimate demos to global launches, cultural programs, large-scale events, booths, and brand installations, you’ll help shape how people experience OpenAI around the world. Working closely with Product, Marketing, and creative partners, you’ll take concepts through design development, fabrication, and on-site delivery. You’ll bring deep experience producing booths and custom builds, managing agencies and vendors, and working directly with fabricators to understand what’s possible within the budget and timeline. This role needs someone who can run several projects at once and stay close to the details. You’re resourceful when plans change, comfortable making decisions on your feet, and clear with the people depending on you. You take pride in producing great work and bring a sense of humor and genuine enthusiasm to the process. In this role, you will: Produce the experiences that introduce people to OpenAI’s

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. This is a part-time position in home infusion; required hours will fluctuate between 20-25 hours per week. We offer flexible hours with some early evenings and some weekend availability required. Will see patients in Maryland but could see a patient in Virginia on occasion. We pay for all travel and patient time and reimburse all miles at the federal government reimbursement rate. As a Registered Nurse (RN), Home Infusion you will work outside the walls of a hospital setting in a growing specialized area of the nursing field. If you are spending 12 hours on your feet or rushing from patient to patient with no time to provide quality patient care, this would be the perfect opportunity to change your work environment. Our nurses have the time and a balanced schedule to build strong one-on-one relationships with their patients and their families. As a Home Infusion Nurse you will… - Challenge your clinical nursing (RN) skills by receiving continuous training on leading edge technology and clinical requirements in specialty infusion. Certification and recertification expenses can be reimbursed for eligible RN’s such as Certified Registered Nurse of Infusion (CRNI®)! - Provide a broad range of infusion therapies in our patients’ homes - Make a difference by using your clinical IV experience and personal touch to assist our patients recover in the comfort of their own home.

About the Team DashMart is a store made possible by DoorDash. Customers order their convenience items in the DoorDash app, and our Warehouse Associates pick and pack those orders in a real, brick-and-mortar convenience store. Shifts: Morning, Day, Evening, Weekend , Part-Time and Full-Time About the Role Picking and Packing orders. Pick orders that come through the app, pack the order and hand off to our drivers. Inventory and Spoilage Management. Stock receivables and manage inventory, including shelf life. Warehouse Organization . Clean and organize the warehouse. Delight Customers . Ensuring substitutions are approved with the customer. You’re excited about this opportunity because you will… Competitive pay (10pm-6am will even receive a $2 increase in pay) Health benefits starting day 1 for full-time employees Gym membership reimbursement (up to $75/month) Paid time off (PTO) and sick leave Career advancement opportunities DoorDash gives back ( https://blog.doordash.com/ ) Being a part of a new concept business and helping to build it We’re excited about you because… You’re self-motivated , positive, and a team player You have a proven track record of success in a retail environment You’re able to be on your feet and handle warehouse duties including lifting up to 40 pounds (with or without accommodations). You have a high school diploma or GED equivalent About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives o

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe’s Professional Services team works with our most strategic users. You will work on the highest visibility projects to provide technical expertise to our customers to help accelerate their knowledge, solution design and integrations with Stripe. This role is responsible for leading strategic conversations and developing plans that will transform the payments and financial infrastructure for leading enterprises. What you’ll do Responsibilities Collaborate with Sales, Solution Architecture and Implementation teams to drive client engagement, customer wins, and revenue on behalf of the Professional Services team Plan and execute integration engineering end-to-end, from high-level architecture down to code Think on your feet and comfortable talking about technical concepts, and explaining how Stripe works, both from a product feature and API architecture perspective Educate our users and the developer community about Stripe's value proposition, best practices and new technical developments Be the primary, ongoing technical point of contact for our largest users' and partners' technical teams Keep abreast of new Stripe technologies and software products and showcases technical thought leadership in whitepapers, conferences and other industry events Providing recommendations, feedback and best practices to the product and engineering teams Who you are We’re looking for someone who meets the minimum requirements to be considered f

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe’s Professional Services team works with our most strategic users. You will work on the highest visibility projects to provide technical expertise to our customers to help accelerate their knowledge, solution design and integrations with Stripe. This role is responsible for leading strategic conversations and developing plans that will transform the payments and financial infrastructure for leading enterprises. What you’ll do Responsibilities Collaborate with Sales, Solution Architecture and Implementation teams to drive client engagement, customer wins, and revenue on behalf of the Professional Services team Plan and execute integration engineering end-to-end, from high-level architecture down to code Think on your feet and comfortable talking about technical concepts, and explaining how Stripe works, both from a product feature and API architecture perspective Educate our users and the developer community about Stripe's value proposition, best practices and new technical developments Be the primary, ongoing technical point of contact for our largest users' and partners' technical teams Keep abreast of new Stripe technologies and software products and showcases technical thought leadership in whitepapers, conferences and other industry events Providing recommendations, feedback and best practices to the product and engineering teams Who you are We're looking for someone who meets the minimum requirements to be considered for

RDQ427R613 About Databricks Databricks is the Data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. As agents move from demos to real production work, Databricks is building the platform that lets enterprises create, govern, and collaborate with coding agents safely and at scale. Team & Product Omnigent is Databricks' platform for building, composing, governing, and sharing AI coding agents. It lets people create and coordinate agents across different model providers and execution environments - from the CLI and IDE to desktop, mobile, and managed enterprise surfaces. Users can watch agents work live, jump in to co-drive or fork a session, and package and share reusable agents. This is a rare chance to define and refine interaction patterns at enterprise scale: how people supervise fleets of agents, intervene at the right moment, understand risk, and build trust in autonomous work - starting with coding, review, and exploration workflows. The hard design problem isn't just showing what agents are doing; it's helping people know when to trust, when to step in, and how to recover when work goes off track - across a high-density desktop workspace and lightweight mobile moments. You'll design for two audiences at once: an open-source community shaping the future of agent workflows, and enterprise teams adopting agents in governed production. Role You'll be the IC design lead for how humans and fleets of agents work together on Omnigent - leading through product strategy, systems thinking, craft, and cross-functional collaboration. You're equally comfortable shipping small design changes directly in the codebase and prototyping your way through big, ambiguous problems that don't have a spec yet. You'll own the design direction across desktop and mobile, partner deeply with engineering and product, and translate the frontier of what agents can do into experience