You will own the roadmap, reliability, and scalability of internal billing systems to ensure accurate and auditable financial processes. This involves collaborating with engineering, finance, and legal teams to automate workflows and implement secure billing controls.
The Customer Engineer will serve as a primary technical advisor for clients, assisting in the design, deployment, and scaling of large-scale GPU-based AI solutions. They will also collaborate with sales and product teams to troubleshoot complex issues, drive product growth, and ensure customer requirements are met.
The Account Executive will drive the adoption of AI and cloud solutions by identifying new business opportunities and managing key client relationships. They will collaborate with internal technical teams to create compelling proposals and lead contract negotiations with C-suite executives.
The Director of Product, Ecosystem will own the external strategy for platform layers by mapping the ecosystem, engaging key partners, and prototyping integrations. This role translates external market signals into actionable product decisions and platform capabilities to drive adoption and revenue.
You will manage the connectivity lifecycle for data centers, acting as the primary technical bridge between internal teams and external telecommunications partners. Responsibilities include overseeing fiber pathway architecture, negotiating commercial agreements, and ensuring seamless integration of infrastructure into the global network.
You will own the full sales cycle for enterprise accounts in the UK and Nordics, from prospecting to closing deals. Additionally, you will help define the go-to-market strategy and collaborate with leadership to scale the regional business.
Serve as the primary technical point of contact for strategic customers to design, deploy, and scale complex AI/ML solutions on GPU cloud infrastructure. Collaborate with sales and product teams to drive growth, optimize performance, and ensure customer requirements are met through effective stakeholder engagement.
Develop and maintain API-based integrations between internal and external systems while building cloud-native services. Implement automation for system workflows, manage deployment pipelines, and ensure robust data synchronization.
The Technical Program Manager will coordinate technical execution within the Post-Sales organization, ensuring predictable and scalable customer production workloads. They will manage the transition from Pre-Sales to Post-Sales, maintain customer health reporting, and implement process improvements across technical teams.
The security analyst will monitor, investigate, and respond to security incidents while ensuring infrastructure compliance with standards. They will also collaborate with internal and external auditors to provide evidence and implement automation for security compliance.
The manager will partner with sales leadership to shape and execute go-to-market strategies while driving operational excellence across the revenue lifecycle. Key duties include managing forecast reviews, maintaining CRM data hygiene, and providing data-driven insights to support quarterly planning.
The Senior Technical Project Manager will own the end-to-end delivery of new compute regions and GPU clusters from kickoff to production handover. They will coordinate across various engineering teams to manage capacity acceptance, resolve deployment blockers, and ensure infrastructure readiness.
You will analyze cloud resource consumption and forecast future demand to coordinate infrastructure expansions across data centers. This involves managing the end-to-end process from procurement and delivery to deployment and availability for customers.
Develop and manage strategic partnerships with venture capital firms and startup ecosystem stakeholders to drive adoption of Nebius AI Cloud. Source and onboard high-potential AI startups while collaborating with internal teams to execute go-to-market initiatives and track performance KPIs.
Lead and develop the Sales Engineering function while providing architectural leadership on complex customer engagements. Partner with Sales and Engineering teams to ensure scalable, efficient, and economically viable AI infrastructure deployments.
You will own the company's identity provider, managing access, authentication, and provisioning across Microsoft Entra ID, Microsoft 365, and Google Cloud environments. You are responsible for resolving identity-related incidents and automating lifecycle processes to ensure secure and efficient access management.
Own end-to-end technical presales and solution delivery for strategic customers across the Middle East, from discovery through production readiness. Serve as a trusted technical advisor to executive stakeholders while leading complex AI/ML infrastructure and MLOps architecture designs.
You will own the infrastructure and data center narrative, translating complex technical advantages into clear messaging for diverse audiences. Additionally, you will lead local community engagement initiatives to build trust and support for new data center builds.
Act as a trusted technical advisor to clients, designing and implementing cloud infrastructure and MLOps solutions. Conduct workshops and training sessions while collaborating with internal teams to optimize pipeline performance and scalability.
The Federal Affairs Leader will build and lead the company's federal engagement strategy, establishing a presence in Washington, D.C. from the ground up. They will manage relationships with Capitol Hill and executive branch stakeholders while shaping policy outcomes related to AI, trade, and infrastructure.
Develop end-to-end structured cabling designs for hyperscale and enterprise data center environments, ensuring compliance with industry standards. Coordinate with cross-functional teams to manage infrastructure deployment, capacity planning, and project documentation from concept through construction.
Manage the full sales cycle for named accounts, driving GPU infrastructure adoption and multi-year commitments. Collaborate with partners like NVIDIA to execute joint account plans and deliver predictable revenue results.
The Senior Product Marketing Manager will own the enterprise narrative, messaging, and go-to-market motion to drive pipeline and revenue. They will design the enterprise customer journey and enable sales, solutions, and partner teams with effective assets and training.
You will lead technical presales and solution delivery for strategic customers, acting as a trusted advisor for complex ML/AI infrastructure and MLOps architectures. Additionally, you will drive advanced PoCs, influence product roadmaps, and mentor other Solutions Architects to ensure successful adoption of Nebius AI cloud.
You will lead technical presales and solution delivery for strategic customers, acting as a trusted advisor for AI/ML infrastructure and MLOps architectures. Additionally, you will drive complex PoCs, influence product roadmaps, and mentor other Solutions Architects to ensure successful adoption of Nebius AI cloud.
You will build and lead a high-performing team of Enterprise Solutions Architects while partnering with sales leadership to drive customer outcomes. You will also engage directly with senior executives to champion customer needs and influence the product roadmap for enterprise readiness.
The Vendor Security & Standards Manager is responsible for enforcing security standards across all external supply chain partners globally. This includes conducting on-site compliance inspections, identifying security gaps, and mandating corrective actions to ensure zero-tolerance adherence to company policies.
You will define the positioning, messaging, and go-to-market strategy for AI inference infrastructure products. You will also collaborate with product and engineering teams to drive adoption and support enterprise sales through effective enablement materials.
The Senior GTM Analyst will own core GTM reporting and analytics, leading high-impact workstreams to support leadership decision-making on commercial performance and investment. This role involves building scalable dashboards, writing SQL queries, and partnering with cross-functional teams to ensure data integrity and actionable insights.
You will architect infrastructure solutions for strategic media and entertainment partnerships and translate complex business requirements into precise engineering specifications. Additionally, you will define reference architectures for ISV integrations and influence the product roadmap by collaborating with engineering and product leadership.
You will lead, build, and scale a high-performing Solutions Architecture organization across EMEA while partnering with sales leadership to drive technical strategy. The role involves engaging with senior stakeholders at strategic customers and championing the voice of the customer to influence product roadmaps.
The Account Executive will drive customer acquisition and growth for Nebius' AI and cloud platform across Japan by building strategic territory plans. They will lead complex, multi-stakeholder sales cycles and foster executive relationships to close high-value deals.
Act as the primary technical interface for customers deploying and operating GPU clusters and AI infrastructure on the Nebius platform. Collaborate with internal engineering teams to resolve complex hardware, networking, and software issues while optimizing system performance.
Create technical educational content including tutorials, sample code, and video sessions to demonstrate the use of Nebius cloud infrastructure. Collaborate with academic partners to design and document infrastructure solutions that meet their specific research and development requirements.
The Account Executive will drive customer acquisition and growth across South Korea by building strategic territory plans and managing complex, high-value sales cycles. They will lead multi-stakeholder negotiations and partner with internal teams to deliver tailored AI and cloud platform solutions.
Lead and manage a team of Solutions Architects to deliver successful customer engagements, including PoC delivery and post-sales technical support. Define and maintain operational processes, documentation, and metrics to ensure predictable, high-quality technical outcomes.
Lead and manage a regional team of Solutions Architects to deliver successful customer PoCs and provide post-sales technical support. You will be responsible for team performance, operational processes, and ensuring technical alignment between customer requirements and the platform roadmap.
You will own the full sales cycle for the UK territory, prospecting and closing deals with commercial and mid-market organizations. You will also partner with technical and product teams to demonstrate the value of Tavily's AI-powered search and data capabilities.
Manage end-to-end procurement of server and GPU infrastructure for data center builds and maintenance. Coordinate with engineering, logistics, and finance teams while negotiating with vendors to ensure cost-effective and timely supply.
The Security Solutions Engineer will lead the strategic evaluation, market research, and technical validation of enterprise-grade security tools. This role involves designing and executing complex Proof-of-Concept environments to ensure security solutions meet the company's infrastructure and compliance requirements.
The Rewards Business Partner acts as the primary link between global rewards models and the go-to-market organization, ensuring effective execution of compensation and incentive programs. They provide strategic advice to senior leadership while maintaining consistency, fairness, and governance across all GTM rewards frameworks.
The specialist will manage the end-to-end lifecycle of global equity programs, including RSUs and options, while ensuring accurate data across HRIS, payroll, and finance systems. They will also partner with cross-functional teams to handle tax, mobility, and regulatory compliance while providing support to employees and managers.
The IT Risk & Controls Manager will act as an embedded partner to engineering teams to design, implement, and scale IT SOX and control frameworks. This role involves leading audit readiness, assessing technical risks, and collaborating with stakeholders to ensure compliance across cloud and AI infrastructure.
The Senior Support Engineer will lead the diagnosis and resolution of complex technical issues across Kubernetes, Linux, and cloud environments. They will also mentor junior staff, develop automation scripts, and collaborate with engineering teams to improve system performance and service quality.
You will orchestrate a global partner portfolio by aligning cross-functional teams and driving high-priority initiatives from concept to execution. Additionally, you will build durable operational processes and translate complex data into actionable insights for partner leadership.
Act as a trusted technical advisor to clients, designing and implementing cloud infrastructure and MLOps solutions. Collaborate with product and marketing teams while helping customers optimize pipeline performance and scalability.
You will design clean abstractions for a rapidly evolving business model and build reliable distributed workflows for the cloud monetization platform. You will also help shape a modern platform from the ground up, ensuring correctness, consistency, and performance.
Formulate original research questions and translate them into rigorous experimental programs to develop new model architectures. Collaborate with engineering teams to validate ideas and contribute to open-source models and research publications.
Drive applied research and technical direction for agent-native retrieval and ranking systems. Design multi-stage architectures and evaluation paradigms to ground LLMs in real-time web data at scale.
The technician will serve as the first point of contact for IT support, managing tickets and troubleshooting hardware, software, and networking issues. They are also responsible for user account management, asset inventory, and facilitating seamless onboarding and off-boarding processes.
You will design, train, and evaluate large-scale models and learning algorithms for robotic agents to perceive and act in the physical world. This involves developing vision-language-action architectures and collaborating with research teams to deploy reliable systems in real-world environments.
You will design and build research prototypes and robust systems at the intersection of models, providers, and agent runtimes. Responsibilities include formulating research questions, developing evaluation methods, and turning promising results into reusable components.
You will act as a trusted advisor to AI-focused customers, designing scalable solutions and resolving complex technical challenges. Additionally, you will collaborate with engineering teams to relay customer feedback and produce technical documentation such as whitepapers and manuals.
The Healthcare Solutions Partner will drive go-to-market execution and manage strategic client relationships within the healthcare and life sciences sector. They will collaborate with account executives to identify business opportunities and provide domain expertise to support complex deal cycles.
Build and scale a world-class Forward Deployed Engineering organization to ensure partner success on the Nebius AI platform. Define the operating model, establish technical standards, and convert field engagements into reusable product improvements.
The Senior Account Executive will drive the adoption of AI and cloud solutions by identifying new sales opportunities and managing key client relationships. They will partner with technical teams to create compelling proposals and lead contract negotiations with C-suite executives.
You will define the go-to-market strategy and solution narratives for AI-driven retail and e-commerce workloads on the Nebius AI Cloud. You will also create sales enablement assets and collaborate with cross-functional teams to drive customer adoption and revenue growth.
You will define and own reliability goals for network services while building automation to improve site readiness and inter-site connectivity. Additionally, you will lead incident response efforts and design safer change workflows to ensure high availability across the network infrastructure.
You will coordinate customer-related activities across the full lifecycle, including discovery, onboarding, and production support. You will lead cross-functional initiatives to ensure technical teams work as a unified system to deliver results and improve processes.
Build and maintain services and tooling that automate the network lifecycle, including provisioning, drift detection, and operational verification. Develop observability systems and integrate network data to ensure safe, scalable, and transparent network operations.
You will lead the mechanical engineering evaluation of prospective data center sites, including cooling capacity analysis and equipment feasibility reviews. You will also partner with cross-functional teams to define mechanical strategies and ensure technical readiness before construction begins.
You will lead electrical due diligence, utility interconnection analysis, and equipment feasibility reviews to inform strategic infrastructure acquisition decisions. Additionally, you will coordinate with cross-functional teams to define power distribution topologies and ensure construction readiness for AI cloud infrastructure.
The Network Planning Technical Project Manager will own the connectivity lifecycle from site assessment to infrastructure delivery, acting as the primary bridge between internal data center teams and external telecommunications partners. Responsibilities include managing fiber pathway architecture, negotiating commercial agreements with ISPs, and overseeing geospatial documentation for global network integration.
You will manage complex technical programs across hardware and software engineering teams to scale the Nebius compute platform. This involves identifying dependencies, mitigating risks, and establishing processes to support the deployment of large-scale GPU clusters.
You will manage the connectivity lifecycle from site assessment to infrastructure delivery, acting as the bridge between internal data center teams and external telecommunications partners. Responsibilities include leading fiber pathway architecture design, negotiating commercial agreements, and maintaining geospatial documentation for network routes.
You will build a comprehensive view of self-service customers to identify growth opportunities and translate commercial plans into capacity forecasts. Additionally, you will develop pricing models and partner with cross-functional teams to drive product and operational improvements.
The Senior Technical Project Manager will coordinate complex cross-functional projects, including new region launches and the end-to-end delivery pipeline for AI models. They will manage dependencies, risks, and engineering execution to ensure ambitious technical goals are met predictably.
Lead the development of AI infrastructure projects from executed agreements through construction readiness, managing roadmaps, budgets, and risk registers. Coordinate with utilities, municipalities, and cross-functional teams to ensure projects are fully permitted and ready for delivery.
Lead multidisciplinary technical due diligence for powered land and build-to-suit AI infrastructure opportunities to identify technical risks before capital commitment. Establish repeatable standards, playbooks, and consultant networks to scale the infrastructure acquisition process across the Americas.
Drive complex initiatives for the Virtual Private Cloud team, including launching VPC in new regions and improving platform scalability. Coordinate delivery across multiple engineering teams by turning technical objectives into executable programs and managing dependencies.
Own server and rack-level production projects for large-scale AI datacenter infrastructure, connecting capacity planning with manufacturing and deployment. Manage the end-to-end lifecycle of hardware procurement, production tracking with ODM partners, and risk mitigation to ensure timely delivery.
The role focuses on optimizing commercial operations processes across contracting, billing, and sales support to ensure data integrity. Responsibilities include validating commercial requests, managing the quote-to-signature lifecycle, and coordinating with Finance to resolve invoicing discrepancies.
Lead the end-to-end design process for new data center builds and expansions, focusing on high-density GPU clusters. Coordinate with internal teams and external partners to ensure designs optimize power, cooling, and scalability while meeting regulatory standards.
Develop fault-tolerant and reliable cloud services including managed databases, Kubernetes, and billing systems. Focus on building a hyperscaling platform for the global AI economy.
Serve as the technical interface between Nebius and strategic technology partners to design and develop integrated AI solutions. Responsibilities include building reference implementations, enabling partner engineering teams, and influencing the product roadmap based on partner feedback.
Build and test LLM-based solutions and applications using Token Factory's inference services. Assist with prompt engineering, model selection, and performance experiments to support proof-of-concept work.
Own the product roadmap and delivery for Dedicated Endpoints for AI Models Inference. Partner with engineering and research to design high-performance tools and drive product-market fit through user research and customer onboarding.
Lead the creation and operation of a Vulnerability Operation Center, managing the full lifecycle from detection to remediation across cloud and hardware stacks. Define processes, select tooling, and coordinate responses to critical zero-day vulnerabilities while driving accountability across engineering teams.
Build and lead the internal red team function to conduct adversarial simulations and penetration testing across the Nebius cloud platform. Research novel attacks against GPU infrastructure and AI managed services to improve overall security posture.
Lead the Go-To-Market motion for Physical AI across EMEA by generating a qualified pipeline and managing strategic executive-level accounts. Develop repeatable sales playbooks and enable the regional field team to accelerate deal closure and drive compute consumption.
Develop and optimize an inference and fine-tuning platform for various foundation models at massive scale. Focus on enhancing fine-tuning methodologies, identifying inference bottlenecks, and investigating low-precision training for modern hardware.
Lead engagement and growth with strategic Managed Service Providers (MSP) and Value-Added Resellers (VAR) to position Nebius as a preferred partner. Develop partner enablement programs and collaborate with leadership to drive incremental revenue growth for GPU IaaS solutions.
Create technical educational content, including tutorials, sample code, and video sessions, to drive adoption of Nebius cloud infrastructure. Collaborate with academic partners to design and document solution architectures and provide technical expertise on GPU cloud technologies.
Develop technical courses on the Nebius AI Cloud for B2B and B2C audiences by translating SME materials into learner-friendly content. Collaborate with production teams to create visual aids and continuously improve courses based on student feedback and audits.
Ensure fault-tolerance, scale, and uninterrupted operations for hardware automation services. Implement and improve CI/CD processes while providing real-time visibility and control over data center infrastructure.
Own the end-to-end technical execution of infrastructure design and production rollout for strategic physical AI customers and ISV partners. Translate customer pain points into reusable platform capabilities to influence the core Nebius Physical AI roadmap.
Build and lead the Detection and Response capability from the ground up, owning detection engineering, threat intelligence, and incident response. The role involves architecting coverage across cloud and bare-metal environments and managing a growing team of analysts.
Own the day-to-day commercial relationships with strategic technology partners and named accounts within the Media and Entertainment vertical. Drive the expansion of the partner ecosystem by developing commercial frameworks, joint value propositions, and operational cadences.
Own the vision, roadmap, and product backlog for cloud storage services including block, file, and object storage. Coordinate cross-company initiatives to optimize data durability, performance, and cost for AI/ML and HPC workloads.
Act as the senior technical authority for customers using the Token Factory platform to design and implement optimized LLM inference and fine-tuning workflows. Partner with product and research teams to shape the platform roadmap and mentor other Solutions Architects.
Own the operational health and readiness of COLO and BTS data center sites, ensuring SLAs are met and maintenance is executed. Act as the primary interface between the company and data center landlords to translate site operations into reliable infrastructure.
Own the end-to-end product strategy, roadmap, and delivery for a specific slice of the AI Compute Platform. Drive cross-functional execution across engineering and SRE teams to deliver hyperscaler-quality APIs and infrastructure outcomes.
Build and scale core services for a unified observability ecosystem covering logs, metrics, traces, and alerting. Focus on high-volume telemetry ingestion, distributed storage, and AI-assisted troubleshooting to support a global AI cloud platform.
Serve as a technical advisor helping customers design, deploy, and scale AI solutions and large-scale GPU workloads. Act as a bridge between customers and product teams to resolve complex AI/ML issues and drive product growth.
Design and implement embedded firmware for server management, telemetry, and control systems for GPU and HPC platforms. Maintain custom OpenBMC firmware and collaborate with hardware engineers to validate and optimize low-level drivers.
The role involves building and maintaining ASPM tools to identify and remediate application security vulnerabilities. You will collaborate with development teams to integrate security best practices into the SDLC and conduct penetration testing.
Identify and secure optimal locations for data center developments and colocation expansions through market analysis and technical due diligence. Manage the full colocation lifecycle, including vendor RFPs, contract negotiations, and performance monitoring against SLAs.
Develop the control plane and lifecycle automation for Managed PostgreSQL while tuning database internals for AI workloads. Build migration tooling and drive the integration of vector search capabilities within the Nebius AI Cloud stack.
Maintain and grow DevTools systems, including GitLab and TeamCity, to support large-scale AI cloud infrastructure. Focus on building fault-tolerant architectures and improving system performance based on user feedback.
Lead the technical product strategy and GTM motion for Retail & Commerce AI, serving as the principal technical partner for strategic lighthouse accounts. Translate customer needs into scalable platform requirements and architect solution patterns for the broader market.
Build and scale Nebius' ISV and AI partner ecosystem from the ground up to drive net-new customer acquisition and revenue. Develop repeatable co-sell motions and lead joint go-to-market execution with strategic partners.
Design and develop internal web applications to automate data center and GPU cloud infrastructure operations. Collaborate with infrastructure and platform teams to translate operational requirements into scalable frontend solutions.
Investigate and resolve complex technical issues involving Linux, Kubernetes, and GPU-based AI workloads in customer environments. Act as a senior escalation point for production incidents and collaborate with engineering to develop long-term fixes and automation tools.
Plan and implement cost-effective mechanical designs and distribution systems for AI data centers. Collaborate with internal partners and external vendors to validate installation and operational performance of mechanical systems.
Plan, design, and oversee the implementation of electrical engineering systems for AI data centers. Collaborate with internal technical teams and external vendors to ensure quality benchmarks are met on time and within budget.
Lead and support the benchmarking of GPU platforms to evaluate performance for machine learning and AI workloads. This includes profiling GPU performance at the system and kernel level and optimizing ML workloads to resolve bottlenecks.
Serve as the primary technical advisor for strategic GPU Cloud customers to design and scale AI solutions. Collaborate with sales and product teams to optimize GPU performance and align product features with customer requirements.
Design and prototype integrations between partner products and the Nebius platform to define scalable reference architectures. Translate external integration findings into actionable product requirements to shape the platform roadmap.
Serve as a technical advisor helping strategic customers design, deploy, and scale large-scale GPU workloads for AI solutions. Collaborate with sales and product teams to drive growth and relay customer feedback for product enhancement.
Design and implement LLM-based solutions using the Nebius Token Factory inference platform to drive business value. Collaborate with product and engineering teams to shape the platform roadmap and guide customers from POC to production.
The Technical Account Manager will lead the transition of customer AI workloads from proof-of-concept to stable, scalable production environments. They will act as a trusted technical partner to optimize performance, cost-efficiency, and reliability while managing incidents and providing feedback to internal product teams.
You will tune and troubleshoot GPU clusters and InfiniBand networks to ensure optimal performance in high-performance computing environments. Additionally, you will integrate new hardware into the infrastructure and enhance automation systems for proactive monitoring and issue resolution.
You will analyze and optimize the performance of large-scale GPU clusters by identifying bottlenecks across hardware and software layers. Additionally, you will support performance-related escalations and contribute to hardware qualification and cluster validation.
The Technical Account Manager will lead the transition of customer AI workloads from proof-of-concept to production, ensuring stability, scalability, and cost-efficiency. They will act as a primary technical partner to resolve bottlenecks, manage incidents, and provide actionable feedback to internal product teams.
The Lead Systems HPC Engineer will analyze and optimize the performance of large-scale GPU clusters by identifying bottlenecks across hardware and software layers. They will also collaborate with infrastructure and vendor teams to integrate new hardware and support complex performance-related escalations.
You will drive the adoption of the Token Factory platform by creating demos, workshops, and technical guides for AI developers. Additionally, you will act as a bridge between the developer community and the internal product and engineering teams to gather feedback and improve the platform.
Drive planning and execution across multiple engineering and product teams to launch new external-facing cloud services. Coordinate service releases, manage stakeholder expectations, and align requirements between Sales, Partnerships, Legal, and Engineering.
You will manage large-scale projects for the Nebius Cloud Platform, coordinating across technical and business teams to scale infrastructure and support new hardware. This involves initiating cross-team projects, setting goals, facilitating decision-making, and aligning stakeholder needs up to the C-level.
You will initiate and drive cross-team projects while aligning conflicting priorities and stakeholder needs across engineering domains. Additionally, you will facilitate technical decision-making and establish scalable processes to support core cloud infrastructure.
The lead will drive applied research across retrieval, ranking, and agent-centric search systems, focusing on designing and improving multi-stage retrieval pipelines and developing grounding approaches for LLMs using real-time web data. Responsibilities also include defining evaluation methodologies, leading experimentation on modern retrieval techniques, and working closely with engineering to deploy research into production at scale.
You will design, train, and deploy machine learning models for retrieval, reranking, and search relevance in production. This role involves working on systems operating at large scale and collaborating closely with engineering teams.
The Senior Network Engineer will be responsible for designing, building, and operating large-scale, high-performance data center networks supporting GPU-dense AI workloads, taking end-to-end ownership of service provider–grade and CLOS-based network infrastructure. Responsibilities include designing scalable architectures, owning deployment and lifecycle management of routing/switching infrastructure, and optimizing traffic engineering strategies.
The role involves spending roughly half the time in the field assisting new customers with POCs and technical onboarding, and the other half building prototypes, exploring emerging AI techniques, and translating field insights into product direction. Responsibilities include building demos across the portfolio, supporting customer validation, and feeding grounded feedback into the product roadmap.
The Senior ML Solutions Architect will design and implement LLM-based solutions utilizing Nebius Token Factory's inference services to achieve business value and support customer objectives. Responsibilities also include building production-ready applications with multimodal and domain-specific LLM APIs and collaborating with engineering teams to refine the platform based on client needs.
This role involves leading deep technical discovery with engineering teams to understand complex AI workload requirements, translating customer ambitions into production-feasible, scalable, and economically viable architectures. The engineer will partner closely with Sales to influence deal strategy, prevent misaligned commitments, and ensure high PoC-to-production conversion rates.
This role involves leading deep technical discovery with engineering teams to understand complex AI workload requirements, translating customer ambitions into scalable, production-feasible architectures, and identifying technical risks early. The Senior Sales Engineer will partner closely with Sales to influence deal strategy, ensure technical realism, and drive PoC-to-production conversion by defining measurable success criteria.
The role involves adapting YDB to fully utilize modern hardware like QLC NVMe drives, DPUs, and maximizing performance on standard devices like HDDs and TLC NVMe. Responsibilities also include reengineering YDB components using more efficient algorithms to address complex system challenges.
The role involves serving as the technical interface between Nebius and strategic technology partners, designing and developing integrated solutions, building reference implementations, and enabling partner engineering teams. Responsibilities include owning the technical relationship with partners, architecting high-impact integration solutions, and translating feedback into product roadmap requirements.
The role involves building a distributed, fault-tolerant storage system for the hyperscaler cloud, focusing on high-performance block and filesystem storage capable of sub-millisecond latency and high throughput despite hardware failures. Key work areas include virtualization technologies like virtio-blk and QEMU, high-throughput networking over TCP and RoCEv2, and implementing storage system features like replication and self-healing.
As a Systems Administrator, you will maintain, troubleshoot, and integrate Linux-based systems that support production platforms. You will work closely with infrastructure, networking, and data center teams to ensure reliable services.
The role involves developing a data plane for Nebius Cloud network services and improving service performance and reliability. Additionally, the engineer will automate complex cross-service interaction scenarios and perform load testing for services.
As a Senior Backend Software Engineer, you will design, build, and operate backend services that are reliable, scalable, and performant. You will own services end-to-end, from architecture to production support.
As a Software Engineer, you will design and build systems for provisioning, configuring, testing, and managing physical hardware at scale. You will collaborate with hardware, networking, and data center operations teams to ensure robust and scalable platforms.
The Senior Software Engineer will design, build, and own backend systems for metrics and monitoring large-scale infrastructure. Responsibilities include evolving metrics pipelines and investigating production incidents.
The Data Center Site Manager is responsible for ensuring the reliability, safety, capacity, and performance of a flagship U.S. site. This includes leading a multi-disciplinary operations team and managing various aspects of data center operations.
The Data Center Technician Manager leads technical teams responsible for cabling, hardware installation, and data center operations. This role involves mentoring technicians and ensuring high-quality execution of installations and maintenance.
Ensure the reliability, availability, and performance of compute nodes running VMs. Troubleshoot complex production issues and lead incident response and root-cause analysis.
Develop and optimize low-level kernels and runtime components for AI inference. Collaborate with ML and backend teams to optimize end-to-end execution.
Own key tracks in Cluster Experience, focusing on reliability, performance, and user experience for distributed ML workloads. Define product direction and drive cross-functional execution across various teams.
The Infrastructure Security Engineer will design and implement security measures for cloud and on-premises infrastructure, identify and remediate vulnerabilities, and collaborate with teams to integrate security best practices. They will also stay updated on security threats and serve as a subject matter expert.
The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role involves collaboration with various teams to ensure that selected sites meet operational, technical, and business requirements.
The Talent Sourcer will be responsible for sourcing candidates for various roles within Data Centers, including technical positions. They will manage talent pools and collaborate with the recruitment team to ensure a positive candidate experience.
