Fleet Associate Jobs

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. DoorDash Labs is an independent team within DoorDash pioneering new delivery modalities including Air, our drone delivery program. If you have a passion for applying autonomous aviation technologies in a service used by millions of people, then we want to talk to you! About the Role Our team is looking for a Staff Security Engineer who will act as the primary security partner to DoorDash Labs - Air, our drone delivery program. This role owns the security strategy for our fleet of drones, ground infrastructure, and the software and networks that connect them. We’re looking for a highly technical, hands-on security engineer with deep experience securing IoT or robotic platforms, who can work independently and coordinate across engineering, hardware, and operations teams to drive security objectives and validation. This role is based in the San Francisco Bay Area, with the expectation of coming into the office once a week, and periodic travel to test and production sites. You’re excited about this opportunity because you will… Own and drive the security strategy for drone delivery including drone authentication systems, ensuring only trusted drones and operators can access DoorDash Labs - Air systems and networks. Secure the physical and software layers of our drones and drone infrastructure, from firmware and onboard software to the physical hardware itself. Secure the physical and software layers of our nests (drone docking and charging infrastructure) and related ground infrastructure. Design and implement secure networking architecture across drone, nest, and ground systems. Review RFCs and design documents for new Air features and infrastructure, providing security guidance early in the development lifecycle. Visit test or production sites at least once a quarter to assess security control

What we're doing isn't easy. But nothing worth doing ever is. We envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Join our mission-driven, venture-backed team as we build out our customer-facing operations arm. As a Field Services Technician , you will be playing a critical role on the Field Services Team. Your work will directly impact clinical operations, ensuring the robotic fleet is well maintained and functional. You will work alongside onsite and engineering staff to execute preventative maintenance and incident triage. You will be the expert technician who is able to handle critical issues that few others can. This position requires a technician who is not afraid to roll up their sleeves and do what is necessary to keep our fleet operating at its maximum potential. We are looking for part-time, weekend coverage for this position and the starting hourly rate is $25/hr. . Your typical schedule will be: Friday: 4pm-9pm Saturday: 9am-5pm Sunday: 9am-5pm Job Responsibilities: Be willing and able to travel <80% of the time in order to support Robot service needs. Conduct routine and incident maintenance for our Robot Fleet. Provide support of Root Cause Analysis for major incidents in the Field. Provide timely repairs and decrease the time our Robots are out of production. Report on critical team metrics such as mean time to repair and first contact resolution rate. Required Experience and Qualifications: Local to Chicago, IL and able to travel within designated region (all expenses paid). <80% travel for site inspections and repairs escalated to engineering. Short-notice travel is required for this role. Read and understand manufacturing work instructions, mechanical assembly drawings and electrical schematics. Work with electrical and mechanical tools (digital multimeter, wire and pc

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Network Deployment and Maintenance Lead within Anthropic's Data Center Operations (DCO) organization, you will ensure the network inside our data halls is brought online and kept healthy across a growing fleet of partner-operated data centers. The scope is the network within and between data halls: the cluster network, management, telemetry, accelerator chip back-end networks, aggregation layer(s), as well as the cabling, optics, and switching around them. On the deployment side, you are engaged during planning and construction, and will be on site during late-stage construction through network delivery and receiving, cabling, integration, turn-up, validation, and acceptance. You will be the on site lead for structured handover of network delivery into production operations. On the maintenance side, you drive the network repair program including: break-fix and ticket flow, vendor RMA, sparing policies, and the SLAs which operations partners execute against. Finally, some of this work touches core networks, where you will partner with Anthropics WAN/Core network team to support campus/DC core network deployment and maintenance activities. This is a program and execution role. You will work with the Global Capacity Delivery Program Leads, the Repairs Program Leads, and the broader Data Center Operations organization to extend network coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on the floor at each site during network delivery, turn-up, QA, and close-out, and at sites where repair performance needs attention. Your authority comes from being on site where you fos

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Repairs Lead within the Data Center Infrastructure organization, you will define and manage the end-to-end hardware repair program across Anthropic's growing fleet of data centers. You will be accountable for repair turnaround time and the compute returned to service across every site, covering server, GPU/accelerator, network, and optics break-fix, RMA and reverse logistics with OEMs and ODMs, and the spares and repair inventory that keeps repair SLAs achievable. As a subject matter expert in hardware operations, you will develop scalable repair processes and quality targets, set the standards that site operations partners and repair vendors execute against, and turn failure trends into fixes which are driven upstream with engineering and equipment partners. If you are experienced in at-scale datacenter hardware operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Define the global repair strategy including repair SLAs, prioritization rules, escalation paths, and reporting methods, and drive standardization across all sites. Own repair turnaround time and repair backlog across the fleet evidenced by Anthropic-owned ticket and telemetry dashboards you help develop. Author and improve procedures for triage, break-fix, return-to-service validation, and train site operations partners on how to execute them. Manage RMA and reverse logistics programs with OEMs, ODMs, and depot repair vendors, including warranty claims, return cycle times, and failure analysis feedback. Set spares pool sizing and stocking levels by s

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that developing the end-to-end product will not only help us scale our services but will also result in a superior customer experience. In this role, you will build and operate the continuous deployment platform that carries changes from merge to production. You will own both the platform and its adoption: building the paved path that every production change travels on and working directly with application teams to move them onto it. We are looking for an engineer who is opinionated about what the right path looks like, who has the judgment to decide where to hold the line and where to leave room for the team, and who has a strong bias toward execution. This is a critical role to remove friction from our release process, improve the deployment experience for everyone in the software organization, and ultimately help us scale our autonomous vehicle fleet to more riders and more cities. In this role, you will: Own the reliability and operational excellence of our deployment platform Build and own the paved path for continuous delivery, and own the safety net that makes the platform trustworthy Work cross-functionally with application teams and SRE to move services onto the paved path, turning recurring friction into platform capability rather than one-off support Set the technical bar for how code is shipped safely to production, and mentor the engineers around you Qualifications 5+ years of software engineering experience, including significant experience in platform, infrastructure, or production operations Hands-on experience with a continuous deployment system in a large organization, Harness preferred; ArgoCD, Spinnaker or other relevant systems Hands-on experience with Kubernetes and container-based deployments Expertise wit

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers Build and operate production-grade deployment pipelines for releasing new models to user

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork’s on-demand labor marketplace is uniquely valuable for robotics and physical AI. We’re working with leading frontier labs to create the highest-quality, highest-diversity datasets for training robotics foundation models. Instawork Robotics is the human advantage in the robotics revolution. We are seeking a highly skilled, Field Engineering Technician to manage the maintenance, calibration, and local deployment of a fleet of 600 custom wearable camera rigs. Unlike standard IT support, this role sits at the intersection of precision electronics, mechanical assembly, and field operations. You will be the primary guardian of our hardware integrity, ensuring that high-stakes egocentric data collection continues without interruption across various deployment sites. About IRL Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Who You Are: Hardware Technician Lead– Wearable Devices Experience: 3 - 5 years Shift: Night Shift Location: Bangalore Role overview We are looking for a Hardware Service Technician

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. In this part-time position, you will work 20 hours per week, to including every other weekend. You will participate in a holiday rotation. Availability to work East Coast hours is required. Position Summary The MinuteClinic Support Coordinator is responsible for managing nationwide callouts, processing Workbrain payroll corrections for the fleet, and performing various administrative tasks. This role requires timely handling of callouts and an understanding of the dynamic work environment and unique staffing needs of retail health clinics. The Support Coordinator will collaborate with their direct supervisor, regional coordinators, and field leaders to review and analyze Workbrain payroll corrections related to staffing and scheduling. This position requires weekend coverage and scheduling flexibility to work part-time (20 hours per week) across 4–5 days, with shifts varying between 6:00 AM and 9:00 PM Eastern Time. Required Qualifications Minimum of 1 year of experience in workforce scheduling or a related field. High School diploma or GED equivalent. Preferred Qualifications Knowledge of workforce scheduling practices. Strong attention to detail and ability to meet deadlines. Critical thinking and problem-solving skills. Excellent custom

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Adyen is looking for full-time Kotlin Engineers to help us develop our in-person payments solution. We have a large and varied fleet of payment terminals and payment SDKs in the field, which we are continuously improving by adding new features and payment methods. Kotlin development plays a vital role in this effort, as your code will be deployed across our various solutions using Kotlin Multiplatform. What you’ll do As a Kotlin Engineer you will work on solutions for our payment terminals and payment SDKs featuring many capabilities, such as: Accepting payments using credit cards and debit cards, Apple Pay or Google Pay on mobile phones or accepting payments through QR codes Building and maintaining payment features for global merchants Integration with a variety of cash registers using state of the art standards You will be working on developing our main business logic in Kotlin, which will be deployed on both Android and Linux based payment terminals, and on our backend. You will also be contributing to C++ libraries that are central to our payment business logic. Your code is tested using a variety of testing methods. These methods range from unit testing to complete product testing via automated programmable robots in order to offer a stable and feature rich solution to all of our merchants. Who you are: A motivated, enth

About Us Comfrt is one of the fastest growing DTC brands, dedicated to blending mental wellness, inclusivity, and elevated comfort into every piece we create. Our mission goes beyond clothing. We strive to build a community where everyone feels supported and seen. About the Job The Senior Manager, Retail Planning owns the merchandise planning behind Comfrt's growing store fleet. You will plan what our stores carry, how much, and when, buying from our ecommerce inventory to set each store up to hit its sales and margin targets.Sitting at the bridge between our ecommerce inventory and our physical stores, you will build the sales, inventory, and receipt plans (open-to-buy), allocate and replenish product across locations, and give store teams the right assortment and stock depth to succeed. This is a hands on, analytical role for someone who loves turning data into a plan, and a plan into full shelves and strong sell through, in a fast moving, high growth environment. Responsibilities Retail Merchandise Planning & OTB Build and own store sales, inventory, and receipt (open-to-buy) plans by store, month, and category, aligned to each store's four wall targets. Forecast and reforecast in season, adjusting to sales trends, sell through, and seasonality. Set preseason and in season plans for core and new products, and manage inventory through peak periods such as Black Friday and holiday. Partner with Finance, Planning and Retail leadership to tie the merchandise plan to the store P&L and inventory investment. Allocation, Replenishment & Inventory Flow Allocate product from our ecommerce and DC inventory into stores by size profile, sell through, and store capacity. Own replenishment of core and never out styles so bestsellers never gap on the floor. Manage store-to-store and store-to-DC transfers to keep inventory balanced across the fleet. Plan markdowns and clearance to protect margin and clear aged inventory. Partner with the DC and operations teams

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them. This is a program and execution role. You will work with the Global Capacity Delivery Program Lead and the broader Data Center Operations organization, to extend its coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on via boots-on-the-ground for each site in preparation for and during delivery, deployment, QA, and close-out, and your authority comes from being there. Working with vendors and partners, you set direction, priorities, and standards for execution, and you prove results with Anthropic-owned data rather than self-reported status. What you learn at one site - what worked, what slipped, what should become standard - becomes the playbook for the next wave. If you have delivered data center hardware at scale, are passionate about HPC data cente

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built robotaxi. We believe that developing this end-to-end product will not only help us scale our services but will also result in a superior customer experience. In this role, you will own the continuous integration systems that every software engineer at Zoox depends on. More than a thousand engineers depend on it every day, running thousands of CI builds every weekday against one of the largest monorepos in the industry. Our goal is to run them fast, reliably, and cost-efficiently as both the codebase and the organization grow. You will work cross-functionally with various software teams as a force multiplier, finding where the build is slow or wasteful and fixing it at the platform level. This is a critical role to squash inefficiencies in our development process, improve the development experience for everyone in the software organization, and ultimately help us scale our autonomous vehicle fleet to more riders and more cities. In this role, you will: Own CI performance, cost efficiency, and reliability end-to-end, at thousands of builds a day and growing Rethink CI failure analysis, triage, developer support, and incident response with modern AI tools, shifting first-line work off human on-call Work cross-functionally to find where integration slows down and fix it at the platform level, and enable teams to make their CI efficient and reliable Set the technical bar for how CI is built and operated, and mentor the engineers around you Qualifications 5+ years of software engineering and programming experience, including significant experience in platform, infrastructure, or developer tooling Hands-on experience operating a distributed CI system at scale, Buildkite preferred; Jenkins, GitHub Actions, or similar Working familiarity with a modern build system such as

The Undersea Systems Division at Leidos currently has an opening for a Technical Deputy Program Manager to support a customer site in San Diego, California. This is an exciting opportunity to apply systems engineering, naval operations, test and evaluation, and technical project-management experience in support of large-scale fleet activities and critical maritime missions. The selected candidate will serve as the onsite Technical Deputy Program Manager and senior technical representative, working closely with the Leidos Project Manager, customer leadership, engineers, fleet personnel, operational stakeholders, and government representatives. The position will support day-to-day onsite execution of program activities while also contributing directly to systems engineering, integration, test, and evaluation efforts. Primary Responsibilities: Serve as the onsite senior technical representative for Leidos at the customer site in San Diego. Work side by side with customer leadership and technical personnel to support day-to-day program execution and mission priorities. Support the Leidos Project Manager with program planning, execution, customer coordination, schedule management, risk management, and delivery of program commitments. Lead and coordinate engineering activities across multiple technical disciplines and stakeholder organizations. Translate customer operational needs into technically sound engineering approaches, priorities, requirements, and recommendations. Coordinate with engineers, subcontractors, fleet personnel, operators, government stakeholders, and program leadership to resolve technical and operational issues. Track technical scope, milestones, schedules, deliverables, action items, risks, issues, dependencies, and decisions. Maintain project-management artifacts, including project plans, schedules, milestone trackers, risk and issue registers, a

The Undersea Systems Division at Leidos currently has an opening for a Senior Systems Engineer to support a customer site in San Diego, California. This is an exciting opportunity to apply systems engineering, naval operations, test and evaluation, and technical project-management experience in support of large-scale fleet activities and critical maritime missions. The selected candidate will serve as the onsite Senior Systems Engineer and senior technical representative, working closely with the Leidos Project Manager, customer leadership, engineers, fleet personnel, operational stakeholders, and government representatives. The position will support day-to-day onsite execution of program activities while also contributing directly to systems engineering, integration, test, and evaluation efforts. Primary Responsibilities: Serve as the onsite senior technical representative for Leidos at the customer site in San Diego. Work side by side with customer leadership and technical personnel to support day-to-day program execution and mission priorities. Support the Leidos Project Manager with program planning, execution, customer coordination, schedule management, risk management, and delivery of program commitments. Lead and coordinate engineering activities across multiple technical disciplines and stakeholder organizations. Translate customer operational needs into technically sound engineering approaches, priorities, requirements, and recommendations. Coordinate with engineers, subcontractors, fleet personnel, operators, government stakeholders, and program leadership to resolve technical and operational issues. Track technical scope, milestones, schedules, deliverables, action items, risks, issues, dependencies, and decisions. Maintain project-management artifacts, including project plans, schedules, milestone trackers, risk and issue registers, action-item logs, a