Internal Fleet Coordinator Jobs

Zoox is building the world's most advanced self-driving hardware and software solution, and nearly every part of it depends on moving data reliably. Sensor frames to perception, planner decisions to vehicle controls, telemetry to the cloud, and remote operator video back down again. All of it crosses process, host, and network boundaries under hard latency and reliability budgets, on a vehicle that has to keep working when a link degrades or a network gets congested. The Software Core Connectivity team owns that data path end to end: in-vehicle messaging (pub/sub, RPC, inter-process and inter-host transport), the vehicle's internal network, and vehicle-to-cloud connectivity. It also owns the transport and serialization abstractions the rest of the software organization builds on. Every one of those paths crosses a team boundary, so the work happens alongside firmware, product security, simulation, manufacturing, and IT, and those partners rely on this team for transport and networking depth to achieve their goals. As the team leader you will own the roadmap and the release commitments, and you will spend a real share of your time in those partnerships. In this role, you will: Own the roadmap, staffing, and release commitments across the team's messaging, in-vehicle network, and cloud connectivity work. Lead and grow a team of software engineers, run their performance and promotion cycles, and hire into the gaps. Represent the team in cross-functional programs across firmware, product security, simulation, fleet operations, and infrastructure, and build the relationships that keep shared work moving. Set the technical bar. Make the architecture calls stick, and make sure the abstractions the team ships are ones other teams want to build on. Balance interrupt-driven reliability work against long-horizon architecture, and be explicit with partners about the tradeoff. Qualificati

Location Details: Pune, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team. Join our Team The Linux Database Services team is responsible for operating GoDaddy's on-premise database infrastructure, supporting Percona MySQL, PostgreSQL, and Cassandra. We provide database services for internal applications and support much of GoDaddy's hosting infrastructure. Our scale is significant: thousands of database instances hosting hundreds of thousands to millions of individual databases! We are a globally distributed team with members across the EU, North America, South America, and South Asia (India), and we are growing our presence in Pune. As a Site Reliability Engineer, you will play a key role in keeping our database fleet healthy, performant, and observable. You will work across Percona MySQL, PostgreSQL, and Cassandra environments, handling both day-to-day operational work and longer-term engineering improvements. This role is ideal for someone who is passionate about building reliable, scalable infrastructure, enjoys solving complex operational challenges, and thrives in an environment where automation and continuous improvement are core to how work gets done. What you'll get to do... Maintain and improve the health of database servers and instances across a large-scale fleet Build and enhance telemetry and observability for databases and hosts Identify and implement performance improvements across database systems Execute an

What we’re doing isn’t easy, but nothing worth doing ever is. Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. As a Fleet Engineer, you'll own the reliability and continuous improvement of our deployed robotic fleet — leading hands-on investigations into how and why robots fail in the field, across the mobile base, charging/docking, motion and power, connectivity (modem), and sensor hardware. You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and corrective actions driven to closure with engineering, operations, manufacturing, and vendors. We are hiring a Lead Engineer, Issue Management & Triage to lead the systems, tooling, and team at the intersection of our Customers, Remote Operations Center (ROC), and Engineering. This is a highly technical, hands-on role focused on building the infrastructure that powers how we detect, triage, diagnose, and resolve issues across a deployed robotic fleet. You will work deeply with Engineering teams to design classification frameworks, build internal tools, and develop automation pipelines that improve reliability at scale. Location: Austin preferred, Remote possible (U.S.) Travel: if remote up to ~50% travel to Austin, TX (especially in the your first 90 days) What You’ll Do: Own Issue Management & Triage Systems Design and own end-to-end systems for issue intake, triage, and escalation. Define severity frameworks, SLAs, and ensure issues are consistently structured for engineering prioritization. Build Tools & Automation (Hands-On) Develop automation and pipelines to ingest, process, and classify operational data, reducing manual triage effort. Contribute directly to codebases (Python, backend services) and partner with Engineer

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 Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. RESPONSIBILITIES Ship AI-powered workflows for Compute and C3 : build the agents and automations that give capacity analysts, ops leads, an

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

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Overview We are looking for a strong software and platform engineer to join our Production Engineering team in Bangalore as an individual contributor in FA ProductionEng APJ. This role will help build and operate internal platforms that improve how we provision, observe, govern, and troubleshoot engineering infrastructure at scale. The fleet management use cases that give teams a single place to understand and operate the test infrastructure. If you enjoy building internal platforms that remove friction, improve visibility, and make engineering teams faster and more effective, this role is for you. Why This Role Is Unique This is not a typical application development role.You will work on internal platforms that directly shape how engineering teams consume and manage shared infrastructure. The role spans platform engineering, workflow automation, observability, API-driven services, and infrastructure lifecycle management. The right candidate will work on systems such as: Self-serviceability workflows and lease-based testbed governance. Developer Platform dashboards and APIs used for triage, visibility, and product trend observation. Testbed and workflow orchestration across fleet management domains. Impact This role is a high-leverage engineering investment. The work will improve how engineering teams provision testbeds, understand failures, operate shared infrastructure, and move faster with less friction. Better

As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You'll Do Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity Measures of Success In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with. You have delivered small-to-medium improvements to our project portfolio In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice In 12 months, you've established a track record of shipping ML-driven improveme

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: The Data Center Engineering team builds the internal systems and platforms that keep our data centers running at the scale and reliability required for frontier AI training and inference. We partner closely with datacenter operations, research, and infrastructure teams to deliver high-leverage tools that turn raw operational data into clear insight and action. RESPONSIBILITIES: Build and operate the software stacks that make site operations scalable, auditable, and fast — including repair trackers, vendor turnback workflows, operational dashboards, and their integrations. Your users are the technicians, managers, NOC operators, and leadership who run the fleet. Design, build, and operate multi-service production systems (UI, APIs, data pipelines, auth, and on-call) for systems such as SRT-style repair/maintenance trackers and vendor turnover/turnback state machines. Own correctness of operational state: node state accuracy, queue ownership, and audit trails — the data that decides what work happens on the floor. Build and maintain integrations with ticketing, inventory/rack systems, telemetry stores, and vendor portals. Keep the tools themselves reliable: uptime,

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Through a combination of strategic partnerships and self-built campuses, we are scaling the compute, storage, and networking platforms that power frontier AI training and inference. The Scaling Analytics team builds the data and software systems that help Industrial Compute understand, plan, and operate infrastructure at global scale. We work across capacity, hardware, storage, infrastructure software, and operational systems to connect fragmented sources of infrastructure data and make that information reliable and usable for engineering and planning. As OpenAI's infrastructure footprint grows, CPU and storage data increasingly spans internal platforms, vendor systems, APIs, databases, object storage, capacity management systems, and operational tooling. Building reliable connections across these environments is critical to understanding available capacity, utilization, fleet state, and infrastructure growth. About the Role We are seeking a Data Engineer to build the data systems and integrations that connect OpenAI's CPU, storage, and supporting infrastructure platforms. This role sits at the intersection of data engineering and backend software engineering. Rather than focusing primarily on traditional analytical pipelines, you will build the software and integrations required to collect, normalize, and make infrastructure data available across a heterogeneous set of systems. CPU and storage data may originate from internal infrastructure platforms, vendor APIs, databases, object storage, capacity systems, and operational services. You will determine how to reliably connect these systems and where those integrations should live—whether within an existing infrastructure service, an orchestration framework, a scheduled workload, or a purpose-built application. You will work closely with Infrastructure Engineering, Capacity Engineering, Storage,

We're currently looking for a Junior Operations Specialist with a focus on Order Processing to join our Operations team. Someone with a passion for electric mobility, an interest in technology, and a desire to create the change we know is needed. This position is located at Polestar Belgium in Brussels and is limited to two years. We believe in a hybrid model when it comes to remote and onsite work, knowing that both in-person collaboration and individual time to focus are needed. What matters most is that people get the time, and support, to do what needs to be done. And to enjoy doing it, of course. Let us describe the challenge we offer In this role, you'll be expected to support the Planning, Ordering and Distribution Manager Belgium. Your key responsibility will be to process incoming orders from new and existing fleet or B2B customers. You will be in close contact with the Sales Team in order to ensure orders are processed efficiently and effectively. You will also be in close contact with the leasing companies and our headquarters in Sweden to ensure timely and correct order processing. A second part of the job is to monitor, analyze, optimize and automate existing (order) processes within the Operations Team, to make our organization future proof. What you'll do Process incoming fleet orders daily (review, validation, and approval), sharing responsibility with the Sales Department for order processing speed and First Time Right (FTR) percentage. Establish, monitor and analyze relevant internal reports Organize and stimulate internal cross-departmental alignment for order processing Assess and improve current ordering processes for fleet and business orders Support the continuous training of internal and external stakeholders with regards to changes in the fleet ordering process Optimize current business processes with the ambition to strive for Operational Excellence, focusing on improving the quality and processing speed of incoming orders by providing supp

We are seeking a Staff Site Reliability Engineer to join our growing Gurugram Products & Technology team to provide technical direction, shape architecture, and build key operational foundations of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Staff Site Reliability Engineer on this new team, you will be responsible for providing technical leadership for the operational foundations that enable deployment at scale of AI applications. You will own the reliability architecture of the platform as it expands across regions and cloud providers, and set the technical direction for how the platform is operated, including capacity planning, multi-cloud expansion, incident response, and SLO discipline. The platform's SRE team owns the operational foundations: the Kubernetes fleet, networking, observability and alerting, and tenant isolation. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Own the reliability architecture of the platform across regions and cloud providers Collaborate with the teams building the platform, providing internal support and guidance on operability, capacity, and best practices Set operational standards for the team: on-call quality, incident response, SLO discipline Mentor and technically develop the SRE team Participate in a 24/7 on-call rotation to resolve issues involving platform infrastructure Qualifications 10+ years of experience working on software and operating distributed systems, with deep Kubernetes expertise, including designing or evolving multi-cluster platforms Proficiency in Python, Go, or a similar programming language Understand workload isolatio

As Senior Project Manager you will be responsible for overseeing the full project life-cycle of design and construction for Zoox’s various real estate assets. Our capital projects include a wide variety of typologies- from office and amenities to engineering/R&D, manufacturing, testing/proving grounds, fleet operations, fleet charging and fleet service sites. Project sizes, complexity and budgets will vary from $50K to $30M+. You will own project delivery beginning with pre-lease site due diligence and project planning all the way through project occupancy and close out. The c candidate will need to know all aspects of project delivery- including fiscal and schedule, design, construction and delivery. In this role, you will: Responsible for leading multiple capital construction projects of various complexity from initiation through close-out, owning the entire project lifecycle from pre-design through commissioning. Provide critical financial and schedule management, including creating and monitoring control systems for cost estimates, budgets, value engineering, schedules, and change orders, and reviewing/approving all architect, engineer, contractor, and vendor invoices. Partner with internal cross-functional teams to develop project programs, masterplan campus/city level projects, and collaborate with real estate teams on due diligence and lease negotiations. Manage procurement by sourcing appropriate team members (External PMs, Architects, MEP Engineers, and other trades) through the RFP process and contract execution, and by developing/recommending the project delivery method (Design-Build, Design-Bid-Build or other). Accountable for deliverables while tracking progress, driving all required entitlements, permits, and contracts, completing bid review and analysis for formal funding recommendations, and managing weekly and quarterly executive reports. Qualifications Bachelor’s or graduat

About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Responsibilities Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinking with the ability to understand problems across hardw

About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Responsibilities Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinking with the ability to understand problems across hardw

As Senior Project Manager you will be responsible for overseeing the full project life-cycle of design and construction for Zoox’s various real estate assets. Our capital projects include a wide variety of typologies- from office and amenities to engineering/R&D, manufacturing, testing/proving grounds, fleet operations, fleet charging and fleet service sites. Project sizes, complexity and budgets will vary from $50K to $30M+. You will own project delivery beginning with pre-lease site due diligence and project planning all the way through project occupancy and close out. The c candidate will need to know all aspects of project delivery- including fiscal and schedule, design, construction and delivery. In this role, you will: Responsible for leading multiple capital construction projects of various complexity from initiation through close-out, owning the entire project lifecycle from pre-design through commissioning. Provide critical financial and schedule management, including creating and monitoring control systems for cost estimates, budgets, value engineering, schedules, and change orders, and reviewing/approving all architect, engineer, contractor, and vendor invoices. Partner with internal cross-functional teams to develop project programs, masterplan campus/city level projects, and collaborate with real estate teams on due diligence and lease negotiations. Manage procurement by sourcing appropriate team members (External PMs, Architects, MEP Engineers, and other trades) through the RFP process and contract execution, and by developing/recommending the project delivery method (Design-Build, Design-Bid-Build or other). Accountable for deliverables while tracking progress, driving all required entitlements, permits, and contracts, completing bid review and analysis for formal funding recommendations, and managing weekly and quarterly executive reports. Qualifications Bachelor’s or graduat