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.
The lead is responsible for executing day-to-day transportation security operations across US shipment lanes, including monitoring active shipments and conducting route assessments. They serve as the primary operational responder for in-transit security incidents and ensure compliance with security standards across the logistics network.
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.
You will lead the Platform Experience group to define the product vision, strategy, and success metrics for a unified developer experience across the Nebius AI Cloud. This involves managing a team of product managers to streamline end-to-end customer journeys, API consistency, and resource management.
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 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 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 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.
The Senior Manager will build and own the regional partner marketing engine, executing programs to drive pipeline and deal registration across the APJ region. They will collaborate with sales and field marketing teams to manage MDF, co-marketing campaigns, and partner recruitment.
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 bridge between the Azure AI platform and client teams, managing project onboarding and early operations. Additionally, you will provide structured feedback to Platform Engineering to improve runbooks and deployment patterns.
You will lead the design and implementation of sales enablement frameworks, onboarding programs, and GTM collateral to scale the organization. You will also partner cross-functionally with Sales, Product, and Marketing to improve rep productivity and ensure consistent execution across complex AI sales cycles.
The Enterprise Technical Architect will define the long-term architecture strategy for GTM systems and lead AI-enabled transformation initiatives across business operations. This role involves designing scalable architectures, managing enterprise integrations, and providing technical oversight for large-scale systems programs.
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.
Lead and develop a team of Forward Deployed Engineers to build high-quality integrations, reference architectures, and proofs of concept for AI workloads. Act as a technical escalation point and bridge the gap between partner needs and internal product development.
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.
Lead and develop a high-performing strategic sales organization to secure major AI infrastructure agreements with global accounts. Act as a strategic advisor to executive leadership to shape long-term commercial strategy, ecosystem partnerships, and market growth initiatives.
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.
Drive the adoption and consumption of the Token Factory AI inference platform by managing the full sales cycle from prospecting to close. Partner with Sales Engineering to convert proofs-of-concept into production commitments and scale consumption within AI-native and enterprise accounts.
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.
The role involves analyzing and administering employee compensation programs to ensure competitive and equitable pay practices. Key duties include conducting market pricing, maintaining salary structures, and managing merit and bonus planning cycles.
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.
Provide high-level technical support for AI engineers and architects by diagnosing issues across Tavily products and LLM applications. Collaborate with engineering and product teams to resolve bugs and improve internal diagnostics and documentation.
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.
The Senior HRBP will partner with USA regional leadership to build organizational capability and translate growth plans into practical workforce and hiring strategies. They will lead organizational design, coach leaders on performance and talent reviews, and manage people risks to ensure effective scaling.
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.
Manage complex, multi-stakeholder enterprise sales cycles to drive adoption of NVIDIA-based GPU infrastructure across priority verticals. Build executive relationships with C-level leaders and collaborate with strategic partners like NVIDIA and OEMs to execute co-sell motions.
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.
Design and implement cutting-edge cloud infrastructure and MLOps solutions to help clients optimize AI pipelines. Act as a trusted technical advisor, conducting PoCs and workshops to educate clients on GPU cloud technologies.
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.
The Product Marketing Manager will own the positioning, messaging, and go-to-market strategy to ensure market value is understood. They will create sales enablement materials and conduct competitive research to support product growth.
Manage the full post-sale lifecycle for commercial accounts, focusing on onboarding, adoption, renewal, and expansion. Act as the voice of the customer to provide actionable insights to Product and Go-to-Market teams.
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.
Establish and lead the customer success function for EMEA, guiding enterprise customers through onboarding, implementation, and long-term adoption of the AI search platform. Act as a strategic partner to executive sponsors and a bridge between customers and internal product teams to influence the roadmap.
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.
The Director of Product, Ecosystem is responsible for mapping and engaging key AI companies to build a robust partner ecosystem across various platform layers. This includes prototyping technical integrations and translating external market signals into product capabilities and strategic investment decisions.
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, 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.
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.
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.
Serve as a technical advisor helping clients design, deploy, and scale AI solutions and manage large-scale GPU workloads. Collaborate with sales and product teams to resolve complex AI/ML issues 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.
Lead the design, implementation, and optimization of global enterprise wired and wireless networks to ensure scalability and security. Manage remote access systems and drive automation-first operations for network monitoring and connectivity.
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 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.
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.
The Enterprise Applications Engineer will manage, configure, and maintain the company's collaboration SaaS ecosystem, including Atlassian tools, Slack, and Zoom. They will also drive automation, ensure platform reliability, and partner with security teams to enforce governance and access controls.
You will be responsible for scaling distributed backend systems and optimizing AI infrastructure to ensure high performance and reliability. The role involves collaborating with cross-functional teams to build and maintain enterprise-grade AI integration platforms.
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.
The Regional GTM Recruiting Manager will own the Go To Market recruiting strategy and execution across EMEA and APJ, leading and developing the regional recruiting team while partnering with commercial leadership to align hiring with revenue targets. Responsibilities include structuring workforce planning, supporting expansion into new regions, building scalable processes, and ensuring high-quality candidate experiences.
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 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.
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.
Ensure the reliability, availability, and performance of compute nodes running VMs. Troubleshoot complex production issues and lead incident response and root-cause analysis.
Design and develop a large-scale LLM training platform while maintaining optimal performance, scalability, and reliability of the ML infrastructure. Improve job scheduling strategies to minimize resource fragmentation.
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.
As a Cloud Solutions Architect, you will design and implement solutions for clients, providing technical expertise and guidance. You will also conduct workshops and help optimize pipeline performance for efficient cloud resource utilization.
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 Senior Hypervisor Engineer will optimize I/O for emulated devices, integrate the hypervisor with platform services, and improve guest system support. The role also involves collaborating with the open-source community and providing low-level security for the hypervisor.
Ensure fault-tolerance, scale, and uninterrupted operations for the service. Use cutting-edge cloud technology to solve a variety of infrastructure problems.
Conduct experiments to efficiently train large language models and explore methods of guided generation and search. Mine relevant data at web scale and conduct experiments with various reinforcement learning configurations.
Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value. Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap.
The Senior HPC Cluster Engineer will tune the performance of GPU clusters and InfiniBand networks, analyze and troubleshoot issues, and integrate new hardware into the existing infrastructure. The role also involves enhancing automation systems for proactive monitoring and managing GPU devices and InfiniBand fabrics.
The Senior Hypervisor Engineer will optimize I/O for emulated devices, integrate the hypervisor with platform services, and improve guest system support. They will also advance open source virtualization and provide low-level security for the hypervisor.
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.
You will own the reliability, performance, and observability of the entire inference stack. This includes designing telemetry pipelines, tuning Kubernetes autoscalers, and creating automation for incident management.
The Compute Node team builds services for managing Virtual Machines on GPU servers and develops the Virtual Machine Scheduler for clusters with thousands of servers. This involves integrating with disk management and virtual networks across multiple data centers.
The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This includes conducting market assessments, coordinating technical due diligence, and managing vendor relationships.
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.
