Fleet Associate Jobs

Traditional engineering roles hand you a task and ask you to implement it. This one hands you a problem and a fleet of AI agents and asks you to ship the solution. The Product Engineer / Builder is a Staff/Principal level individual contributor role , for someone who takes a defined problem and owns the solution end to end. You understand the customer and the problem, then design, build, and ship working software, using AI agents as your primary means of turning direction into product. You combine deep engineering craft with genuine product instinct, and act as a force multiplier rather than a single pair of hands. How You’ll Work Given a problem to solve, you shape the approach and use AI to bring it to life by directing several AI agents in parallel and rigorously reviewing what they produce. An idea sketched in the morning can be a functional prototype by lunch and a working product by the end of the week . You think like a product manager, care like a designer, and build like an engineer. This is not a role for someone who waits to be told exactly what to type. You bring taste and judgment to every decision. It’s your responsibility to know what to build, what not to build, and to prove — through evals, testing, and review — that AI-generated work is reliable enough to ship. You measure success in customer and business outcomes, not tasks completed. Build on What Works, Invent Where It Counts Build rapidly by composing solutions from the best available tools, whether internal or external, and apply your own innovation where it matters most. That means drawing on proven platforms, components, services, and models instead of building everything from scratch, then adding original thinking where there are gaps to close, experiences to elevate, or clear opportunities to differentiate. You know when to leverage what already works, when to extend it, and wh

Real people. Real service. At SupplyHouse.com , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are looking for a new Local Delivery Supervisor to join our growing Local Operations Team and Fulfillment Center network . This individual will report into our Senior Manager, Final Mile Delivery and is responsible for the oversight, development, and accountability of the local delivery and pickup counter operations. This role provides leadership across fleet administration, dispatch, driver management, and on-site pickup counter functions, ensuring efficient, safe, and customer-focused service. Job Type: Full-Time, Exempt Location: 180,000 sq. ft. in Farmers Branch, TX at 12301 N. Stemmons Fwy, Farmers Branch, TX 75234 Schedule: This role oversees an operation that runs Monday through Friday from 9:00 a.m. to 6:00 p.m. CT . While this position generally follows a schedule, operational demands during peak and seasonal periods may require leaders to work additional hours beyond their regular schedule. Leaders are expected to maintain a flexible schedule and adjust their working hours as needed to support the business and their teams. Salary: $65,400 – $81,750 per year Responsibilities: Confirm daily routes and ensure Local Delivery Drivers are available to take orders Continuously communicate with Local Delivery Drivers while they are out on their routes Continuously schedule new orders into WorkWave until cutoff times Supervise daily routing and dispatch operations to ensure effic

The Quality Engineer will interact with Corporate Quality, Field Quality, Manufacturing, Design Engineering, and fleet operations to ensure the products released to service are meeting design specifications, functionality, customer expectations, and required documentation. The successful candidate must have the ability to meet tight deadlines, have strong interpersonal and communication skills, be detail-oriented, and be able to work independently. In this role, you will: Manage quality issue tracking to implement Containment, drive Root Cause Analysis and Corrective Action for non-conformances identified during production quality audits and vehicle release process. Support diagnosis of issues reported during Rider Quality Audit and EFR process ; establish standard inspection process and define required tools. Design, champion, and execute strategic continuous improvement initiatives to enhance the effectiveness and efficiency of production quality audit, EFR and issue resolution Work cross-functionally with Supplier Quality, Manufacturing and Vehicle Development to strategically resolve systemic product and process issues. Support develop and review of PFMEA and Control Plans to ensure compliance and robust risk mitigation strategies for all critical manufacturing processes. Good ability to communicate technical results clearly and accurately and drive issues to successful closure. Qualifications BS in Mechanical, Manufacturing, or Industrial Engineering Minimum 8 years of experience in a manufacturing environment, preferably automotive, aviation or contract manufacturing. Proven expertise in advanced problem-solving methodologies (e.g., Shainin Red X, Six Sigma Black/Green Belt) and demonstrated success driving systemic quality improvements across the value stream. Strong planning, organizational, analytical, negotiation, interpersonal, decision-making, oral

About the Role We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement

Zoox’s Robot Software Infrastructure Deployment team builds the critical systems that flash and update software and firmware across our vehicles and test fixtures—spanning development, manufacturing, and fleet operations. Our deployment system orchestrates updates across a massive ecosystem: advanced sensors, high-performance compute platforms, automotive ECUs, network switches, and user interface devices. Because of the sheer breadth of this domain, this role offers a unique vantage point. You will maintain a high-level view of our entire architecture while possessing the sharp technical acumen to dive deep into specific components when solving complex engineering challenges. If you thrive on variety, collaboration, and high-impact infrastructure, this team is for you. In this role, you will: Expand Capability: Design and integrate deployment support for next-generation vehicle components and subsystems. Architect Infrastructure: Enhance the core deployment framework, developer tools, instrumentation, and integrations with broader engineering systems. Optimize Performance: Drive systemic improvements in deployment speed, efficiency, and mission-critical reliability. Root-Cause Failures: Triage, debug, and resolve complex deployment failures across hardware and software boundaries. Collaborate Cross-Functionally: Partner closely with Firmware, QA, Systems, Manufacturing, and Fleet Operations teams to ensure seamless end-to-end execution. Qualificat

The HD Mapping team is seeking an experienced full-stack engineer to lead development of the web services that support the creation, cataloging, and maintenance of 3D HD maps deployed across Zoox’s fleet. This role will be instrumental in scaling our mapping operations into multiple new cities. In this role, you will: Own and architect backend services (FastAPI) for the HD Mapping team's web infrastructure Support development of frontend tools for interacting with Zoox’s maps (TypeScript, React, MUI, Deck.gl) Automate complex pipelines and workflows Mentor team members on web technologies and distributed systems You will establish guidelines and refactor existing code to follow best practices Qualifications Strong experience in backend development and distributed systems Frontend experience and knowledge of best practices (proficiency in Python, TypeScript, and React) Knowledge of relational database design (Postgres) and RESTful API development Proven ability to lead technical initiatives and mentor others Experience automating complex workflows (Airflow) Bonus Qualifications Experience with FastAPI, Kubernetes, and ArgoCI Knowledge of geospatial data and coordinate systems About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the applica

About the Team The Release Engineer team is responsible for building and maintaining the systems that power software delivery—from CI/CD pipelines and artifact management to release automation and fleet telemetry. We ensure software across bootloaders, firmware, operating systems, and cloud services is built reproducibly, validated rigorously, and released safely at scale. About the Role As a Release Engineer, you’ll design, build, and operate release infrastructure that enables reliable, secure, and traceable software delivery across complex multi-component systems. You’ll partner closely with embedded, cloud, and QA teams to ensure that every build—from development to OTA deployment—is fast, verifiable, and production-ready. We’re looking for engineers who take pride in automation, build reproducibility, and system reliability—and who enjoy building the connective tissue that allows hardware and software to ship together seamlessly. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and operate CI/CD pipelines for multi-component builds (bootloader, firmware, OS images, backend, companion apps) using hermetic toolchains. Define versioning and branching strategies; automate promotions, changelogs, and artifact retention. Integrate unit, integration, and hardware-in-the-loop (HIL) test results; quarantine flaky tests, auto-bisect failures, and block unsafe promotions. Build A/B OTA update flows with verity and health checks; run staged rollouts and canaries; implement safe rollback and roll-forward strategies. Implement code signing for binaries and firmware, generate SBOMs, run vulnerability scanning, and attach build attestations and provenance. Manage dashboards and alerts for build health, promotion latency, failure rates, and fleet update telemetry. You might thrive in this role if you: Have experience building and operating buil

About the Team Our team analyzes inference stack performance across the application, model, and fleet layers to identify bottlenecks and drive faster, cheaper inference. We combine systems profiling, benchmarking, and analysis to understand where time and cost are spent, then turn that understanding into performance optimizations and models that project performance and capacity needs for future launches. About the Role In this role, you will model inference performance across application, model, and fleet layers with higher fidelity. You will build cost-to-serve estimates from microbenchmarks and create tools that help cross-functional teams reason about latency, capacity, utilization, and cost tradeoffs. In this role, you will Build and refine performance models that translate microbenchmark results into cost-to-serve estimates. Analyze inference workloads end to end across applications, models, and fleet infrastructure. Enhance tooling to identify bottlenecks across layers for latency and throughput. Partner with other teams to turn performance insights into concrete improvements and project how future changes affect inference. You might thrive in this role if you: Enjoy reasoning from first principles about distributed systems, model inference, and hardware efficiency. Are comfortable working across abstraction layers, from application behavior to kernels, accelerators, networking, and fleet scheduling. Have deep expertise with performance profiling, benchmarking, analysis, and optimization. Enjoy collaborating with engineering and research teams to improve real production systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve o

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI's Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments. You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action. In this role you will: Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., cable cassette style assemblies), patch panels & optics, and backplane/cable-backplane interconnect solutions. Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures. Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and m

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;

As a Commercial Operations Analyst at Zoox, you will help build and run the operational engine that drives our commercial P&L. Sitting at the center of our commercial business, you will turn pricing, promotions, and demand signals into the day-to-day and week-to-week decisions that move our growth and profitability targets—and stand up the rigor and rhythm that lets us manage those levers as we scale. This is a high-ownership role for someone who is equally comfortable in the data and in the operating cadence of a fast-moving business. You will partner closely with Product, Data Science, Fleet Operations, and Finance to translate complex commercial dynamics into clear actions, while helping establish the foundational processes that a growing Central Market Management team will be built on. It is ideal for a technical, structured operator who is energized by ambiguity and excited to shape how an autonomous mobility business is run. In this role you will: Set the objectives that pricing, promotions, and fleet deployment optimize against, from the weekly supply plan to real-time dispatch, so that decisions made in separate systems add up to one commercial plan. Partner day to day with Data Science on elasticity estimation, price effects modeling, demand and supply forecasting, supply planning, and marketplace simulation, bringing a clear point of view on what to build. Set the priorities for the vertical: size the expected business impact and effort of each initiative with the science and engineering leads, stack rank them, and re-rank each quarter as results come in. Drive delivery across the teams that build these systems, managing dependencies, holding the schedule, and escalating early when a date is at risk. Design the experiments and simulation studies that gate launches, set ship criteria and guardrail metrics before launch, make the ship call, and write the readout against the sizing that justified the work. Run the w

AI at Zapier At Zapier , we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently . Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process , including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to. Sr. Engineer, Database Reliability Hi there! We're looking for a Database Reliability Engineer (DBRE) to join the State team at Zapier. We need someone who can set direction on our data infrastructure and isn’t afraid to get into the weeds to solve challenging operational problems. The State team owns the platform behind Zapier's stateful services: our relational database fleet (MySQL and PostgreSQL), a caching layer built on Redis and ElastiCache, and the tooling that lets product teams use it all easily, safely, and reliably. You'll shape our practices around automation, observability, performance, reliability, and disaster recovery, and help make the right way the easy way for the teams building on top of our data layer. This is a senior DBRE role on the State team. You'll be the technical center of gravity for database and cache work: the person other engineers come to for design review, the one setting the bar for how we operate the data layer, and the one responsible for growing the DBRE practice on the team over time. We know applying for and taking on a new job at any company requires a leap of faith. We want you to feel comfortable and excited to apply at Zapier. To help share a bit more about life at Zapier, here are a few resources in addition to the job description that can give you an inside look at what life is like at Zapier. Hopefully, you'll take the leap of faith and apply. Our Commitment to Applicants Culture and Values at Zapier Zapier Guide to Remote Work Diversity and Inclusivity at Zapier Zapier is proud to be a

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,

NVIDIA DGX Cloud is an AI Factory designed to power the next generation of AI and industrial-scale breakthroughs. As the Distinguished Engineer for Security Architecture, within our Security Engineering organization, you will set the security design bar for an AI factory of hundreds of thousands of GPUs, and then build against it alongside the teams. This is the founding architecture seat in a new organization. Security Engineering is a new organization at DGX Cloud, accountable for the security outcome of the platform, and this is the architecture function inside it. You will define the security design standard for DGX Cloud, a bar that sits above the company floor, and hold it from inside the teams doing the building. Security here is fleet horizontal and stack vertical, so your scope runs from the hardware root of trust and the hardened baseline, through tenancy and GPU workload isolation, to the services and APIs built on top, across every DGX Cloud engineering organization. A small team of Principal Engineers will report to you and hold the bar at domain depth. This is still a hands-on seat, and you stay in the design with them. You will also serve as DGX Cloud's technical interface into NVIDIA's central security organization. There is no architecture review board here and no approval queue; the bar holds because the strongest security engineers in the room helped set it and helped ship it. What You Will Be Doing: Set the DGX Cloud Security Bar: Own the security design standard across DGX Cloud (tenancy, GPU workloads, identity, supply chain, and isolation) and make it concrete. Reference architectures, golden paths, and requirements engineers can actually build against, not a policy library. Hold the Bar by Building: Embed with engineering teams on real work: join the design, learn the code, help ship the thing rather than grade it afterward.