Platform Support Engineer Jobs

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

Toast is building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: running the businesses they love. We’ve grown into a leading hospitality software company in the U.S., and are now entering our next phase of growth - one defined by scale, complexity, and a new class of enterprise customers. Toast is looking for a Senior Software Engineer to join our Toast Connect team in Dublin. The Connect team owns how everything outside Toast connects to Toast including the event infrastructure every team at Toast uses to publish data, the frameworks partners and customers use to integrate through our APIs, and a new charter to make Toast the source of truth for all the data about the customers we serve. You will play a key role in evolving our platform to support ever more complex new features and best-in-class monitoring as we scale to orders of magnitude of our current size! If you want to help create something tangible that is used every day, help businesses achieve their vision, and take on the challenge of scaling a SaaS product, Toast is the place for you. A day in the life (Responsibilities) Design, build, deploy, and maintain scalable backend microservices and RESTful APIs using Java / Kotlin and AWS infrastructure. Lead complex projects that may span multiple teams & systems. Champion best practices such quality automated testing and phased rollouts to ensure zero-regression releases and high test coverage. Monitor service health for success & failure, analyze logs and metrics (Datadog/CloudWatch), and participate in on-call rotations to maintain platform uptime. Collaborate with peer engineers, provide design feedback, and participate in code reviews. Collaborate with PM & UX on the development of new features & products. Mentor & coach your peer engineers. Use AI tooling as a genuine part of your workflow, not an afterthought What you'll need to thrive (Requirements) 5+ years professional

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

Husky is what we call the distributed, petabyte-scale columnar event store at the heart of our Event Platform, which powers dozens of Datadog’s most popular products – Logs, RUM, APM, Cloud Network Monitoring, Netflow, and many more. Husky was built from the ground up at Datadog to store and query massive volumes of event data at low cost, with data fully queryable within seconds of arrival. As a Senior Software Engineer on this team, you'll work hands-on with a distributed storage system at petabyte scale, and help us evolve our platform to support the next level of scale that will power the AI era. We will move from a custom storage format towards open standards (Parquet, Arrow, DataFusion) enabling on prem solutions, increasingly complex analytical/batch workloads, and powering AI observability, sustainably into the future. You'll partner closely with Husky Ingestion, Metadata, and Platform, and increasingly with Lakehouse on the Iceberg-compatible boundary between Husky and analytical/batch workloads. You will also work with the open source community to build the next generation of reusable software solutions that can be operated at scale. Datadog has a culture that is increasingly rare in mature technology companies. We are an engineering driven, bottom up, high agency/high responsibility culture–where everyone is empowered and expected to drive the technological and strategic direction of the business over time. We are a blameless culture where we believe supporting each other through challenges produces the best outcomes over time and our track record corroborates this. We are open source champions. We believe in the flexibility of working remotely but also the value of bringing people together across our various offices worldwide–and our offices are nice places to work. What You’ll Do: Drive Husky to the next level of adoption by migrating our storage format to open source Parquet and re-imagine compaction on a format-agnostic, Data

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Over 180,000 restaurant businesses run on Toast. About the team OLAP Platform is the analytical data layer that powers real-time reporting for restaurants and agentic data access for AI-driven products across Toast. As Engineering Manager II, you will lead a growing engineering team in Dublin that owns this shared surface. The team is in a pivotal stretch of work: scaling the platform to support more domains and consumers, keeping performance and cost in balance as it grows, and putting the governance in place to open it up safely to the next wave of AI-driven products. This is a role for an engineering leader who combines platform thinking, operational discipline, and strong cross-functional influence. You should be comfortable owning developer experience for internal engineering customers, driving technical strategy and creating clarity in a fast-moving environment. A day in the life (Responsibilities) Define and drive the technical direction, strategy and execution as the platform scales to more domains and consumers. Build the partnerships that make a shared platform work - aligning with consumer team leads on roadmaps and onboarding, and representing OLAP's priorities and constraints in cross-team forums Bring an AI-first approach to team workflow, reducing manual effort, accelerating issue resolution and shaping how the platform serves AI-driven consumers safely and at scale. Build outcome-oriented operating mechanisms, including metrics and monitoring, that keep consumer teams unblocked and give the platform team early signals when something is breaking or getting hot. Coach and mentor engineers, helping them grow technically and as leaders. Operate effectively in a fast-moving environment where experimentation, iteration, and platform stability must coexist. &nb

NVIDIA is seeking a Senior Staff SRE to build and operate reliable, scalable compute platforms that support global engineering workloads. This role spans Kubernetes, KubeVirt, bare-metal infrastructure, automation, observability, and AI-enabled operations. Join a team that solves complex infrastructure challenges, builds durable automation, and improves the reliability and operational experience of critical compute services. What you’ll be doing: Build, operate, and improve large-scale Kubernetes, KubeVirt, Linux, container, and bare-metal compute platforms, with a focus on performance, capacity, reliability, and operational scale. Lead bare-metal provisioning and lifecycle management in data centers, including PXE boot, DHCP, DNS, OS provisioning, hardware validation, and fleet automation. Develop automation, self-service capabilities, and observability solutions using APIs, Python or Go, Infrastructure as Code, configuration management, metrics, logs, traces, and service-health data. Define and operate SLOs, SLIs, error budgets, alerting, and incident-response practices; lead complex incident investigations, corrective actions, and blameless postmortems. Partner with infrastructure, security, hardware, data-center, and application teams to deliver global platform initiatives, and participate in an on-call rotation. What we need to see: BS in Computer Science, Engineering, a related technical field, or equivalent experience, plus 10&#43; years operating production infrastructure or platform services. Strong expertise in Kubernetes administration, KubeVirt, Docker, containerization, microservices, Linux systems, and resolving distributed-system challenges. <l

The IT SaaS Engineering Team plays a critical role in enabling MongoDB’s post-sales business processes, including Customer Success, Support, Renewals, Services, and account management workflows. By leveraging Salesforce and related business systems, the team ensures that post-sales teams have the tools, automation, security, and governance needed to effectively manage customer relationships, support customer outcomes, improve operational efficiency, and drive long-term customer growth. With deep expertise in Salesforce development, platform governance, automation, integrations, and system operations, the team continuously enhances the CRM platform to support evolving post-sales business needs. The team partners closely with stakeholders across Customer Success, Technical Services, Revenue Operations, Sales Operations, Billing, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Role Overview We are looking for a highly experienced Lead Salesforce Engineer to drive the architecture, design, and evolution of critical Salesforce and CRM solutions supporting MongoDB’s post-sales business processes. This role combines deep technical leadership, hands-on solution design, cross-functional stakeholder partnership, people management, and a modern engineering mindset that embraces AI-powered development responsibly to improve productivity, quality, and long-term platform health. The ideal candidate will have strong experience designing scalable Salesforce solutions for complex customer lifecycle processes, including customer success operations, support workflows, renewals, account management, customer health, and post-sales automation. What you’ll do Lead the architecture, design, and development of scalable Salesforce solutions supporting post-sales teams, including Customer Success, Support, Renewals, Services, and account managemen

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Platform Operations & Compliance team is focused on integrating Altana’s products with customers to provide unique insights, business process integrations, and create customer value. We execute complex customer integrations to create and customise data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while supporting reliability, release, cost and control obligations that come with operating big-data pipelines for public sector customers. The Platform Operations & Compliance team works closely with customers, as well as our internal Engineering, Machine Learning, InfoSec and Product organisations. In this role, you will: Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities Understand and drive forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base Support platform reliability, cost and controls and support customer security reviews and accreditations Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. Work in a cross-functional team of engineers, data scientists, and product managers Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone who proactively takes owners

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Project Title: AI-Powered Capacity & Planning Insights Platform Description: This project focuses on developing an AI-enabled planning insights platform that consolidates factory capacity, WIP, production loading, bottleneck indicators, and operational constraints into a centralized view. The platform will support Planning and FASM teams in improving planning visibility, evaluating factory readiness, and making data-driven decisions through analytics and intelligent recommendations. Scope: Design and develop a Capacity & Planning Insights Platform for monitoring factory loading, capacity utilization, and WIP trends. Integrate relevant planning and production data sources into a centralized platform. Develop visualization components such as capacity utilization trends, bottleneck monitoring, production loading analysis, and planning KPIs. Develop scenario evaluation and recommendation capabilities to support planning assessments and decision-making. Supporting Team: FASM Team Planning Team Manufacturing Team Deliverables: Able to build an interactive Capacity & Planning Insights Platform. Able to integrate planning and production data into a centraliz

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Global Support & Partnerships team is a critical and unique part of helping Lyft succeed in our purpose to Serve and Connect. We support Lyft's international growth by developing integration platforms that seamlessly link global customers to an exceptional customer care experience. We go beyond simply supporting customers; we build the foundational infrastructure that turns every support interaction into a moment of genuine connection. Whether supporting our established North American community or welcoming new users worldwide, we ensure a unified, reliable, and efficient experience for riders, drivers, applicants and support agents alike. We are looking for an experienced technical leader who can support our global ambition by designing, owning, and scaling the Global Support Platform. Responsibilities: Set the technical vision and strategy for a rapidly evolving product area, making high-judgment calls on architecture and technology direction Drive the adoption of AI and machine learning solutions to optimize customer support workflows and enhance operational efficiency across the platform. Lead a team of talented engineers who ship code and tackle hard engineering problems, maintaining a high bar for technical excellence Translate high-level business goals into actionable engineering projects. Own the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks. Drive the responsible adoption of AI development tools across engineering teams - modeling effective use, establishing best practices, and mentoring engineers to improve productivity without compromising code quality or security. Champion improvements in system, observability, performance, and tech debt reduction, extending your influence beyond your immediate team. Establish best practices f

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Support sustaining engineering for existing products. Support development efforts on next generation products. Manage rapid prototyping efforts in machine shop. Develop CAD models and simulations in the designs of your responsible parts. Design fixtures and test set ups to validate designs. Document designs and test results. Draft drawings for all responsible parts and integrate into PLM. Experience 2+ years experience in Mechanical Design or related role. Strong fundamentals in mechanical engineering first principles. Experienced in CAD software (SolidWorks preferred). Experienced in using SolidWork PDM and PLM softwares (Arena preferred). Experience in Design for Manufacturing principles. Experienced in electronics packaging design. (Preferred) Experience in optics design cameras and/or lighting. (Preferred) Structural or thermal design and simulation experience. Bachelor's Degree in Mechanical Engineering or related technical discipline. Pay Range $130,000 &mdash; $170,000 USD Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, g