Fleet Associate Jobs

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a hands-on Operations Manager to own the operational and analytical supply side of our GPU fleet. Key focus areas: GPU fleet lifecycle, health, observability, utilization monitoring, and remediation across our neocloud and bare metal environments. We contract for a fixed amount of compute capacity. GPUs drift from healthy to unhealthy over time, and this role minimizes that downtime to keep the maximum number of GPUs healthy at any given moment. This is an operator role, not people management. You'll drive execution through clear processes, metrics, reporting, vendor coordination, and cross-functional alignment. RESPONSIBILITIES Drive suppliers to keep the maximum amount of the GPU fleet online and healthy. Maintain a live reconciliation of contracted vs. provisioned vs. healthy vs. utilized capacity, broken out by supplier and by cluster maximizing the number of healthy GPUs. Supplier-attributed fleet health accountability: own replacement SLAs, mean time to repair (MTTR), and RMA cycle times for every in-scope supplier. SLA monitoring, credit claims, and remedy enforcement: track SLA performance against contract terms, file and pursue credit claims, and drive remediation plans when suppliers fall short. Drive internal communications where suppliers need to perform maintenance to ensure all Baseten stakeholders are aware of activities that impact availability. Scope and Approach Flexibility: t

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 Terminal helps businesses extend their online presence into the physical world. Our mission is to make it as easy for businesses to accept in-person payments as Stripe has made it to accept payments online. Terminal provides an integrated in-person payments platform spanning software, payment processing, device fleet management, and hardware. Our hardware portfolio includes Stripe-designed readers and accessories as well as devices from third-party hardware partners. Together, these products enable businesses to build reliable, differentiated in-person payment experiences across a broad range of use cases, countries, and operating environments. What you’ll do We’re looking for an experienced Product Manager to build the strategy, development, and expansion of Terminal’s hardware portfolio. This role will work across both first-party and third-party hardware, helping define the multi-year roadmap for the devices, accessories, and partner ecosystem that power Terminal. You will partner closely with hardware engineering, firmware and software engineering, design, operations, logistics, partnerships, sales, finance, legal, and regional teams. This is a highly cross-functional role for someone who can connect customer needs, technical constraints, business strategy, and execution across user experience, device capabilities, cost, quality, reliability, supply, and time to market. Responsibilities Set and execute a multi-year strategy and ro

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: Determine true root cause of fleet hardware failures — component and system level — and drive fixes through vendors to the manufacturer. Turn "swap it again" into "vendor redesign / firmware fix / manufacturing escape found." RESPONSIBILITIES: Own named failure classes across GPU trays/baseboards, NIC/DPU, motherboard/PCIe switch, memory, power, thermal, cables/connectors, and rack-scale patterns. Run recurrence analysis and fleet-wide defect clustering; detect systemic patterns before they become fleet-scale loss. Build vendor technical escalation packages with evidence quality that forces action; partner with OEM/ODM/component manufacturers on firmware, bring-up, and manufacturing escapes through committed CAPA. Feed findings into RMA policy, spare strategy, and "do not reseat forever" stop-rules. Work the FA intake queue on rotation; keep queue age within SLA BASIC QUALIFICATIONS: Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience). 2+ years of experience in hardware reliability engineering, preferably in high-performance computing or data center environments. Proven expertise in fir

Overview Construction Resources (CR) is a leading building products distributor serving the Southeast with a portfolio that includes countertops, appliances, lighting, garage doors, fireplaces, flooring, and more. As we expand into the Birmingham market, we are seeking a hands-on, results-driven Operations Manager to lead and oversee all local operational functions. This role will be the key driver of execution in the market, ensuring operational excellence, efficiency, and customer satisfaction as CR establishes a best-in-class presence. Key Responsibilities · Operational Leadership: - Direct all aspects of Birmingham operations, including warehouse operations, dispatch, fleet management, field service management, and installation performance. - Manage and support Warehouse, Dispatch, and Installation leadership to ensure seamless cross-functional execution. · Fabrication Oversight: - Oversee capacity planning, staffing, and production schedule completion to align with customer commitments. - Partner with the Fabrication Manager to ensure quality, safety, and timely delivery of finished product. · Warehouse & Logistics: - Manage inbound and outbound warehouse operations, inventory control, and order accuracy. - Ensure optimal routing, loading, and scheduling for on-time delivery. · Fleet Management: - Oversee all aspects of the Birmingham fleet, including box trucks, service vans, and pickups. - Leverage Samsara for fleet tracking, compliance, safety, and performance optimization. - Partner with Dispatch leadership to drive efficiency and reduce downtime. · Field Service & Installation Performance: - Ensure best-in-class installation standards and jobsite execution, driving high levels of customer satisfaction. - Implement effective field service management processes and technology to track performance and resolve issues. · People & Culture: - Recruit, train, and develop the Birmingham operations team. - Foster a culture of accounta

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT infrastructure team is responsible for ensuring that our products can serve rapidly growing demand with the performance, reliability, and quality our users expect. This work sits at the intersection of product demand, model deployment, inference, research, fleet, and capacity. The team translates changing product and model needs into clear capacity decisions and safe, scalable launches. About the Role We are seeking a Technical Program Manager to lead the operating system for Chat capacity and model deployment. You will connect demand forecasting and capacity allocation with model readiness, rollout planning, launch coordination, and post-deployment learning. You will also own mode deployment beyond capacity by working with cross functional teams across research, post-training, inference and product to own mainline model deployment. You will bring structure to constrained-capacity decisions, improve the tooling and mechanisms teams use to prioritize demand, and help new models reach users safely and efficiently. Success requires technical depth, sound judgment under ambiguity, and crisp execution across product, research, infrastructure, and operations teams. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own cross-functional programs for Chat capacity forecasting, allocation, headroom planning, and constrained-capacity operations. Build durable intake, prioritization, and decision mechanisms that connect product demand and model requirements to available serving capacity. Partner

Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Design, build, and maintain high-scale, distributed systems to work with the company. Work within a team to build the core networking solutions, which include load balancing, mTLS networking, fleet health & observability used by product teams to build and operate microservices supporting the company’s business. Build a great customer experience for internal company teams using Infra and play a key role in enabling the company’s Infra to power all of the company’s products globally and at scale. Scope, design, implement, and deploy robust solutions, making appropriate tradeoffs between reliability, throughput, latency, resiliency, engineering, velocity, and cost. Innovate, design, and implement software solutions that contribute towards improvement and resiliency, reliability, efficiency, and management at scale. Contribute to team strategy, roadmap, tooling, process, and culture. Set clear goals and provide regular feedback on team member performance. Who you are Minimum requirements Must have a Bachelor's Degree or foreign equivalent degree in Computer Science, or a related field, plus five (5) years of post-bachelor's progressive work experience in software engineering. In the alternative, the employer is willing to accept a Master's Degree or foreign equivalent in Computer Science, or a related field, plus three (3) years of experience in Software Engineering. Must a

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are seeking a platform engineer to join our Compute Capacity team. This team owns the capacity plan that keeps compute supply ahead of demand across every region we operate in — the forecasting, buffer policy, and provisioning systems that make sure a project never runs into a wall it didn't know was there. You'll work on the systems that turn a capacity plan into provisioned reality: reservation acquisition, fleet reconciliation, and the automation that keeps what we've committed to in sync with what we're actually running. You'll help build the metrics and alerting that let capacity problems surface months out, on vendor lead time, rather than at the moment someone needs the room. You'll design, build, and operate systems that are both robust and highly automated — helping us hold the right buffer at the right cost, catch drift before it becomes a shortage, and give every team a single, trustworthy view of how much room we have across the millions of databases we manage. What You'll Be Responsible For Help build and maintain the capacity plan that keeps Supabase's compute supply ahead of demand across regions and instance families Support buffer policy by modeling headroom targets and their cost tradeoffs for review and sign-off Build and maintain automation that turns the capacity plan into provisioned reality — reservation acquisition and top-up, fleet reconciliation, drift detection between committed and running capacity Extend our infrastructure as code for capacity-relevant provisioning Instrument capacity: build and maintain metrics for saturation, reservation coverage, idle buffer, forecast error, and provisioning latency Build and tune capacity alerting so headroom,

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 Every request that hits Claude — from claude.ai , the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path. This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it. You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it. Key responsibilities Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync Partner with the product, inference e

About the Role Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation , solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. responsible for delivering the software but also for operating and supporting it in production. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructur

As a Wireless Firmware Validation Engineer on the Firmware team, you will own the performance validation, optimization, and debugging of our TCU (Telematics Control Unit). Managing a complex architecture that integrates third-party hardware with our autonomous vehicle platform, you will analyze diagnostics and log outputs across cellular networks, 4G/5G modems, internal software layers, Wi-Fi, and Bluetooth. You will not only reactively troubleshoot complex field issues but also proactively design, facilitate, and evaluate advanced testing campaigns—utilizing industry-standard network emulation tools like the Keysight UXM—to identify cellular edge cases and vulnerabilities before they impact operations. Your work will directly safeguard the safety, reliability, and scaling of the Zoox autonomous fleet. Robust, low-latency connectivity is fundamental to autonomous vehicle deployment, powering essential real-time cloud services, fleet management pipelines, and teleoperation capabilities. By ensuring our vehicles maintain seamless, high-performance connections under the most demanding real-world conditions, you will bridge the gap between cutting-edge hardware, cloud infrastructure, and test systems to enable Zoox to deliver the future of autonomous mobility. You will leverage your substantial prior expertise in connectivity software and protocols (cellular modem cross-layers, Wi-Fi MAC/PHY) to provide critical insights and feedback, guaranteeing that our systems are rigorously tested and hardened for operational deployment. In this role, you will: Test Architecture & Strategy: Define component integration plans (from initial hardware bring-up to advanc

As a Software Engineer on the Firmware team, you will own the software integration, performance, optimization, and debugging of our TCU (Telematics Control Unit). Managing a complex architecture that integrates third-party hardware with our autonomous vehicle platform, you will analyze diagnostics and log outputs across cellular networks, 4G/5G modems, internal software layers, Wi-Fi, and Bluetooth. You will not only reactively troubleshoot complex field issues but also proactively architect and develop robust host-side connectivity software to handle cellular edge cases and vulnerabilities before they impact operations. Your work will directly safeguard the safety, reliability, and scaling of the Zoox autonomous fleet. Robust, low-latency connectivity is fundamental to autonomous vehicle deployment, powering essential real-time cloud services, fleet management pipelines, and teleoperation capabilities. By ensuring our vehicles maintain seamless, high-performance connections under the most demanding real-world conditions, you will bridge the gap between cutting-edge hardware, cloud infrastructure, and test systems to enable Zoox to deliver the future of autonomous mobility. You will leverage a profound understanding of how these stacks operate to define the architecture, utilize vendor interfaces, and debug complex cross-layer issues. Responsibilities Contribute and Develop: Contribute to Zoox's firmware and cellular wireless connectivity stack (LTE/5G), developing and enhancing connectivity features across multiple generations of hardware. Vendor Integration: Act as the primary technical expert working with cellular chipset vendors (e.g., Qualcomm) to integrate their proprietary firmware, SW stacks, and L1-L3 implementations into our custom embedded Linux platform. Architecture Definition: Define, architect, and validate the critical software interfaces betw

As Manager, Sensor Integration/Cleaning HW, you will lead a team responsible for ensuring Zoox vehicles can operate safely and reliably in real-world environments. You will manage a multidisciplinary team of engineers designing, integrating, validating, and launching sensor assemblies and sensor cleaning systems that maintain the performance of our autonomy sensors across a wide range of environmental conditions. You will drive your team's engineering solutions and program execution to ensure sensors remain within operational specifications, minimize contamination-related failures, optimize for supply chain and volume manufacturing, improve vehicle availability and serviceability, and support the scalable deployment of Zoox autonomous vehicles. In This Role, You Will Lead, mentor, and grow a team of mechanical, electrical, and systems engineers developing sensor assemblies and sensor cleaning systems for Zoox's autonomous vehicle fleet. Own program delivery for sensor integration and sensor cleaning hardware, from concept through validation, launch, and fleet support. Set technical direction and review key design decisions across mechanical packaging, electrical integration, and system-level architecture for sensor and cleaning subsystems. Partner with sensor performance, perception, test, manufacturing, and quality teams to ensure designs meet performance, reliability, and manufacturability requirements. Manage program scope, schedule, and resourcing across multiple concurrent sensor integration and cleaning projects. Drive cross-functional design reviews, DFMEA/PFMEA processes, and validation planning to de-risk programs ahead of production. Represent the team in front of engineering leadership, communicating program status, technical tradeoffs, and risks. Recruit, develop, and retain engineering talent, and build a strong culture of technical rigor and ownership within the team. </di

Shipping the software that powers Zoox’s autonomous vehicles is an extremely challenging job. As a Software Engineer on the Core Data team, you will help build the foundational systems that capture, persist, move and retrieve the critical data generated by our fleet of robots. Our systems connect real-time vehicle software with the engineering and operational workflows requiring fleet data. This includes making critical data available for development, validation, fleet operations, incident investigation, and continuous improvement of the autonomous driving stack. You will tackle complex challenges involving high-speed data, constrained compute & storage resources, multi-host architectures, and fault-tolerant design. This role combines hands-on implementation and systems-level problem solving with opportunities to influence the long-term architecture of Zoox’s vehicle data systems. You will collaborate across the organization to define requirements and deliver practical, reliable solutions to ambiguous cross-functional problems. In this role, you will: Contribute to the technical architecture and implementation of Zoox’s on-vehicle data systems Design and develop reliable, high-performance systems for capturing, storing, retrieving, and transmitting vehicle data with strict real-time and resource constraints Own complex technical problems from initial investigation through design, implementation, validation, and rollout Collaborate across teams through requirements definition, design reviews, and code reviews Qualifications: Bachelor’s degree in computer science, engineering, mathematics, or a related field and 3+ years of professional software development experience Strong proficiency in modern C++ Experience with multithreading, concurrency, inter-process communication, or networking Strong problem-solving skills and the ability to investigate issues across multiple software and

About the Role Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation , solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. responsible for delivering the software but also for operating and supporting it in production. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructur

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 The Endpoint team (Client Platform Engineering) manages the laptops and handsets every Anthropic employee works on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and every piece of configuration ships as code through pull requests, CI, staging, and a canary group. Today the mobile side of the fleet is BYOD. This role exists to change that. You will design and implement a corporate-issued mobile device program (managed company phones and managed Apple accounts) in every region Anthropic operates in, and take it from early design to production. The team is deliberately lean and runs with high autonomy. You’ll define what a corporate mobile program looks like at Anthropic and own the platform decisions that get it there. Responsibilities Design the corporate-issued mobile device program: device standards, what we issue to whom, and how the program grows from a first region to everywhere Anthropic operates Own the global logistics of issuing hardware: procurement partners, regional coverage, spares, and refresh cycles Bring mobile configuration into the team’s config-as-code pipeline so mobile policies are reviewed, tested, and progressively rolled out like the rest of the fleet Build zero-touch enrollment: Apple Business Manager and ADE with managed Apple accounts on iOS, the zero-touch equivalent on Android, so a new phone works the first time without hands-on setup Own policy, compliance, and device lifecycle for the corporate fleet, from issue to wipe Build telemetry on the corporate fleet: which devices are checking in, OS and patch state, drift betw