Fleet Associate Jobs

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About The Role: LangChain is hiring a Recruiting Coordinator to help build and scale our high-performing team. You’ll support recruiters, hiring managers, and candidates through every step of the interview and hiring process. You’ll manage interview logistics, drive candidate communication, and keep our recruiting operations running smoothly. You’ll be a key part of creating a thoughtful, efficient, and candidate-friendly hiring experience. What you’ll do: Schedule a high volume of interviews across multiple time zones and mediums (virtual & in-person) Communicate directly with candidates via email and phone to keep them informed and prepped throughout the process Help ma

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role: We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects. You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI. What makes this role different: You’ll drive pipeline and revenue while

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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

Senior Embedded Firmware Engineer Description - Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ's Connectivity team is seeking an Embedded Firmware Engineer with strong hands-on experience across RTOS and embedded Linux platforms. You'll bring up new hardware, develop and support firmware across core device subsystems, and help scale products from prototype to fleet deployment. A key part of this role is enabling on-device intelligence — bringing AI models, sensing algorithms, and local processing to lightweight, power-constrained devices at the edge. What You Might Do Design, develop, and debug firmware across RTOS and embedded L

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description The Aircraft Maintenance Lead plays a key role in ensuring the safe, compliant, and reliable operation of our corporate aviation fleet. This position supports the planning and execution of aircraft maintenance programs and major maintenance events, partnering with flight operations, maintenance providers, and other stakeholders to keep aircraft airworthy and mission-ready. The role combines technical expertise with project leadership, overseeing maintenance planning, vendor coordination, regulatory compliance, documentation integrity, and operational decision-making that directly impacts aircraft availability, safety, and reliability. This position is based in Santa

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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

Role Description As a Senior Client Platform Engineer on CorpFleet Engineering, you will own and improve Dropbox’s Windows endpoint platform. You will bring deep Windows and Intune expertise, make patching and application delivery more reliable, and build automation that reduces recurring work for the team. This is a hands-on role combining Windows technical ownership with the development of a more code-managed endpoint platform. You will help evaluate and adopt FleetDM, osquery, infrastructure-as-code, and GitOps practices where they improve reliability, visibility, and maintainability. You will strengthen the current environment while building and validating the path forward—not assume that replacing a tool is the answer. You will work with CorpInfra, IAM, Security, and support teams to make practical technical decisions, lead multi-phase improvements, and clarify ownership. You will also mentor teammates through pairing, code review, and shared operational practices. This is an individual-contributor role, not a people-management position. Responsibilities Own endpoint reliability and lifecycle management. Improve provisioning, application delivery, updates, security configuration, and troubleshooting across the endpoint environment. Make patching predictable and safe. Strengthen update workflows through testing, controlled rollouts, and remediation. Make fleet health trustworthy and actionable. Improve reporting on device health, patching, and configuration, with clear ownership for resolving issues. Build maintainable automation. Turn recurring work into reliable, tested workflows that other engineers can operate. Advance code-managed endpoint operations. Adopt tools and practices that improve configuration management, validation, and deployment. Lead cross-functional platform improvements. Define practical roadmaps, resolve dependencies, and balance security, reliability, employee experience, and team capacity. Strengthen the team’s capability. Mentor teammate

Role Description As a Senior Client Platform Engineer on CorpFleet Engineering, you will own and improve Dropbox’s Windows endpoint platform. You will bring deep Windows and Intune expertise, make patching and application delivery more reliable, and build automation that reduces recurring work for the team. This is a hands-on role combining Windows technical ownership with the development of a more code-managed endpoint platform. You will help evaluate and adopt FleetDM, osquery, infrastructure-as-code, and GitOps practices where they improve reliability, visibility, and maintainability. You will strengthen the current environment while building and validating the path forward—not assume that replacing a tool is the answer. You will work with CorpInfra, IAM, Security, and support teams to make practical technical decisions, lead multi-phase improvements, and clarify ownership. You will also mentor teammates through pairing, code review, and shared operational practices. This is an individual-contributor role, not a people-management position. Responsibilities Own endpoint reliability and lifecycle management. Improve provisioning, application delivery, updates, security configuration, and troubleshooting across the endpoint environment. Make patching predictable and safe. Strengthen update workflows through testing, controlled rollouts, and remediation. Make fleet health trustworthy and actionable. Improve reporting on device health, patching, and configuration, with clear ownership for resolving issues. Build maintainable automation. Turn recurring work into reliable, tested workflows that other engineers can operate. Advance code-managed endpoint operations. Adopt tools and practices that improve configuration management, validation, and deployment. Lead cross-functional platform improvements. Define practical roadmaps, resolve dependencies, and balance security, reliability, employee experience, and team capacity. Strengthen the team’s capability. Mentor teammate

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Van

About the Team The DoorDash Air team is bringing drone delivery to reality. To make this happen, we’re building a strong electrical team to design high reliability, high power density converters, and fault-tolerant controls electronics. Come join us to build a new class of aircrafts and deploy at scale. DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role As the Product Manager Airspace & Autonomy for DoorDash Air’s Airspace and Autonomy capabilities, you will own the end-to-end product strategy for the software, services, autonomy, perception, human interfaces and related capabilities required to deploy autonomous drone delivery at scale. You will connect DoorDash’s order and logistics platform with the aircraft, autonomy stack, mission-planning services, UTM capabilities, fleet-management tools, and operator workflows that execute each delivery. You will define how an order moves from merchant readiness through dispatch, airspace validation, autonomous flight, delivery, and completion within the broader DoorDash marketplace, ensuring that new features align to DoorDash Air’s roadmap across teams while balancing execution timelines against technical debt. You will lead product direction across autonomy, aviation software, services, hardware, systems engineering, flight operations, UTM, safety, regulatory, data, and DoorDash platform teams. You will work closely with the Head of UTM and senior En

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: SpaceXSI operates multi-campus, hyperscale GPU infrastructure where cluster availability directly determines training throughput, customer handover commitments, and capital efficiency of the fleet. The Manager of Supercomputer Site Reliability Engineering will be responsible for both compute and infrastructure performance, and will be responsible for significantly increasing the SRE team size. On the compute side, focus will be put on continuous site monitoring, cross-discipline incident command, deep hardware root-cause analysis (RCA), and emphasis on software systems that orchestrate repair velocity. Additional focus will be on physical infrastructure reliability as well. Understanding system margins and resiliency will be key. Site Reliability engineering manager owns >99% compute uptime outcome, drives unplanned facilities compute losses to 0, ensures efficient allocation of > 3GW site power, upgrade robust fault-free megapack failover systems capable of supporting all halls for >4 hours (160 MWhr per hall), drives robust hardware inventory systems and repair velocity to eliminate hardware chokepoints. RESPONSIBILITIES: Serve as the senior oper

Data Engineer III itD is seeking a Data Engineer to design, build, and own the data models, pipelines, and reporting behind a large-scale robot teleoperation and wearable data collection operation at a leading global technology company, replacing manual operational reporting with automated, trustworthy systems. The ideal candidate will bring deep experience in dimensional modeling, production pipeline ownership, and distributed SQL and Python, and a track record of delivering reliable reporting infrastructure and metrics that leadership trusts. Location: Remote (US). Pay Rate: $48.60/hr Depends on Experience Duration: 12 months, full time (40 hours/week), start ASAP, with a strong possibility of extension or conversion. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Design and own dimensional data models covering collection volume, operator efficiency, data quality, and equipment uptime across multiple collection methods, and build the daily and cumulative table layers that let recurring reporting be derived automatically. Define and document canonical metric definitions so key terms mean one consistent thing across dashboards, internal apps, and leadership reporting, and drive alignment when teams disagree. Build and extend batch data pipelines from operational source systems through daily snapshots to cumulative dimension tables; own correctness, freshness, and backfill of every reported metric and resolve discrepancies against source data. Build automated data-quality checks, anomaly detection, and freshness SLAs, and own backfill and restatement strategy (including communicating restatements to stakeholders) when definitions or upstream sources change. Build and own dashboards and internal reporting views, including live fleet-status views and automatically generated daily operational briefs, plus l

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join our team in Santa Clara to lead engineers building rack-scale infrastructure software that makes complex hardware manageable and programmable. You will own delivery of control planes, lifecycle orchestration, system health, and recovery capabilities, working across hardware, firmware, networking, and operations teams to support customer deployments at rack and fleet scale. What you'll be doing: Take ownership for the delivery of rack-scale infrastructure software within a cross-functional organizational structure. Coordinate commitments, address ownership gaps, and stay accountable for results from requirements to production adoption and support. Translate business needs and evolving hardware roadmaps into release priorities and achievable plans. Balance staffing, dependencies, and technical risk across projects as priorities change. Partner with architects and technical leads on control planes, lifecycle orchestration, health analysis, and recovery. Guide engineering tradeoffs and ensure a consistently high standard for reliability, security, and maintainability. Build and develop the team through hiring, mentoring, and clear performance expectations. Grow technical leads and future managers, delegate impo