The role

This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:

• investigating how test-time guided search can be used to build more powerful agents;
• dramatically scaling task data collection to power reinforcement learning for SWE agents;
• maximizing efficiency of LLM training on agentic trajectories.

One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include: 

• Designing and developing LLM training platform.
• Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
• Improving job scheduling strategies to minimize resource fragmentation. 

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

The role

Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.

• Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.                                                                                
• Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning.

• Deep expertise in modern deep learning for language processing and generation

• Experience with training large models on multiple computational nodes

• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)

• Strong software engineering skills (we mostly use Python)

• Deep experience with modern deep learning frameworks (we use JAX)

• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

• Strong communication and leadership abilities

Nice to have:

• Previous experience working with language models or other similar NLP technologies.

• Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization

• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.

• Strong engineering skills, including experience in developing large distributed systems or high-load web services.

• Open-source projects that showcase your engineering prowess

• Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role

We’re looking for an L2  IT Technician with Project Management experience to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer with a focus on IT Projects and relevant activities. This role aims to provide not only support in troubleshooting of high-performance server hardware, including GPU clusters, but also implementations of additional infrastructure components on production sites.

Apart from being involved in resolution of complex hardware incidents, proactive handling of L1/L2 support via the ticketing system, you will work in collaboration with the Technical Project Manager. This role expects from candidates to have advanced technical experience in pair with some project management experience allowing to move the projects further, identify specific risks, participate in implementation with support of 3rd parties.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with Technical Project Manager on current projects

• Participate in technical projects implementations

• Oversee 3rd party contractor activities during project implementations

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Basic understanding of Project Management methodologies

• Basic understanding of Project Management tools (JIRA, Gantt charts)

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Proven project management experience in IT Infrastructure domain

• Bachelor degree in Computer Science

• Driving license type B

The role

We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.

Your responsibilities will include

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting

• Execute workarounds and solutions for IT hardware issues

• Act as a subject matter expert and point of escalation for L1 and L2 technicians

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

• Collaborate with vendors on warranty replacements (RMA), create requests and manage.

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Skills working with the Unix/linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Skills of repairing electronics at the component level (SMD)

• Knowledge of network equipment and troubleshooting

• Driving license type B

The team

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects. You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation and allows you to work on solutions that exceed industry standards in design and deployment.

The role

As an IT Manager, you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure.

Your role involves leading a team that works directly with cutting-edge technologies. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly.

Your responsibilities will include: 

• Manage IT support team to achieve KPI in IT infrastructure support and project planning.
• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
• Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.
• Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.
• Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.
• Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements.
• Manage additional processes around asset management, Return Merchandise Authorizations (RMAs).

We expect you to have: 

• 5+ years of team management, hands-on experience in diagnosing and resolving server hardware issues.
• A solid understanding of data center operations, as well as server and network equipment principles.
• Practical experience in project planning and management.
• Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM).
• Basic proficiency in the Linux operating system and familiarity with command-line tools.
• Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables.
• Advanced Excel skills, including proficiency with pivot tables, formulas, lists and graph creation.
• A proactive, responsible and goal-oriented approach to work.

It will be an added bonus if you have: 

• ITIL and/or PMI certification.
• Driving License (Category B)

The role 

We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.

This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.

The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.

You’re welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include: 

• Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.
• Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.
• Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.
• Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.
• Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.
• Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.
• Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.

We expect you to have: 

• 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure.
• Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration.
• Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus.
• Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs.
• Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread.
• Proven ability to influence cross-functional stakeholders and drive alignment without formal authority.
• Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders.

It will be an added bonus if you have: 

• Experience in search, information retrieval, NLP, or adjacent domains.
• Background in API-first or developer-platform businesses with both PLG and enterprise motions.
• Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments.
• People management or mentoring experience (building the skills of other PMs).

The role

Nebius is looking for a Senior Data & Business Analyst to lead analytics and business health indicators across our operational and company-wide domains. This is a senior individual contributor role combining strategic thinking, deep hands-on analytical execution, and strong cross-functional business partnership. You’re welcome to work in our office in Tel Aviv.

The role requires the ability to operate at two levels simultaneously: understanding the full business picture while diving deep into complex datasets and technical execution. You will work closely with Operations, Finance, and other cross-functional teams to improve efficiency, transparency, and decision-making across the organization.

Your responsibilities will include: 

• Own end-to-end analytics for core operational processes.
• Define, build, and maintain company-level operational and business health KPIs.
• Translate ambiguous, cross-functional business questions into structured analytical frameworks.
• Write advanced, high-performance SQL to extract, model, and analyze complex datasets.
• Lead deep-dive analyses to uncover operational inefficiencies, financial impact, and process gaps.
• Connect data across systems and explain upstream and downstream business impact.
• Independently identify high-impact problems worth solving, not only respond to requests.
• Drive cross-functional analytical initiatives at a company-wide level.
• Present insights, trade-offs, and recommendations to senior leadership.
• Synthesize complex findings into concise executive-level narratives.
• Influence decisions and drive measurable impact based on data.
• Act as a central analytical partner across multiple business domains.
• Lead initiatives and move stakeholders forward without direct authority.

We expect you to have: 

• Experience as a Data Analyst, Business Analyst, or similar analytical role.
• 5+ years of experience in data or business analytics within operational or financial domains.
• Expert-level SQL skills, including complex joins, CTEs, window functions, and performance optimization.
• Experience working with ERP or operational systems data.
• Experience operating at both high-level strategic view and deep hands-on analytical execution.
• Experience leading cross-functional initiatives and influencing stakeholders without direct authority.
• Experience operating at a company-wide level, not only within a single function.
• Demonstrated ability to deliver measurable business impact such as cost reduction, efficiency gains, process improvements, or revenue optimization.
• Strong executive-level presentation and communication skills.
• Demonstrated ability to challenge assumptions and influence senior stakeholders using data.
• High ownership, independence, and strong execution mindset.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience with NetSuite or similar ERP systems.
• Experience with operational workflow or spend management tools.
• Experience with BI tools such as Looker, Tableau, or Power BI.
• Experience partnering with Finance or FP&A teams.
• Background in operational efficiency or cost optimization initiatives.

About the role:

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale.

Responsibilities:

• Develop and optimize low-level kernels and runtime components for AI inference 

• Improve performance of inference engines GPU platforms 

• Profile and debug system-level and hardware-level performance issues 

• Integrate support for new hardware architectures (Hopper, Blackwell, Rubin) 

• Collaborate with ML and backend teams to optimize end-to-end execution 

Required Qualifications:

• Strong proficiency in C++, OR expertise in GPU programming with a focus on low-level high-performance coding and memory management 

• Experience in GPU programming or systems-level software development, e.g. operating system internals, kernel modules, or device drivers 

• Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings. 

• Solid understanding of CPU/GPU architecture and memory hierarchy 

Preferred Qualifications: 

• Experience with GPU computing programming: CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, Mosaic GPU 

• Familiarity with ML inference runtimes (e.g. TensorRT, TVM) 

• Knowledge of Linux internals, drivers, or compiler toolchains 

• Experience with tools like perf, VTune, Nsight, or ROCm profiler 

• Familiarity with popular inference engines (e.g. such as vLLM, sglang, TGI) 

We conduct coding interviews as part of the process.

The Role

We are looking for a IT Support Manager in our data center, the key person in managing IT infrastructure maintenance. You will manage L1, L2, IT infrastructure and Field Network Engineers supporting data center IT infrastructure and GPU clusters. This role is focused on ensuring stable, efficient, and scalable operations through people leadership, structured support processes, and hands-on technical oversight.

You will own day-to-day IT support operations, oversee maintenance and incident resolution for GPU clusters, and ensure high service levels across hardware, network, and field support activities. You will act as a key escalation point, drive operational improvements, and align support execution with broader data center objectives.

Your responsibilities will include

• Lead and manage L1, L2, IT infrastructure and Field Network Engineers supporting data center IT infrastructure and GPU clusters and region IX colocations.

• Ensure high availability and reliability of GPU clusters and IT infrastructure

• Act as the primary escalation point for complex hardware, network, and operational incidents

• Monitor and drive SLA, KPI, and incident resolution performance across IT support services

• Oversee proactive maintenance, troubleshooting, and problem management activities

• Collaborate with infrastructure engineers, vendors, and colocation partners to resolve issues and deliver improvements

• Maintain and improve support processes, documentation, and team training materials

• Manage IT asset lifecycle activities, relates to responsibility area, including RMAs

We Expect You to Have

• 3+ years of experience managing technical support teams in a data center or similar critical infrastructure environment.

• Strong hands-on background in diagnosing and resolving server hardware issues, including GPU-based systems, fiber networks.

• Solid understanding of data center operations, server platforms, and enterprise networking principles.

• Practical experience with IT service management processes (ITIL / ITSM).

• Basic proficiency with Linux/Unix operating systems and command-line tools.

• Proven ability to manage operational KPIs, incidents, and escalations.

• Analytical skills

• Proactive mindset, strong sense of ownership, and the ability to lead teams in high-pressure environments.

• High proficiency in spoken and written English.

It will be an added bonus of you have: 

• Relevant certifications and trainings

The role

We are looking for a Technical Project Manager to join our team and manage different projects and changes in data center. You will work with modern GPU clusters, responsible for execution of projects around IT infrastructure and equipment: GPU servers, high-speed network, compute and storage systems. Acting as a key link between the stakeholders, project and technical teams, you will drive operational activities across your responsibility area.

Your responsibilities will include: 

• Management and delivery of IT infrastructure projects, change requests in data centers

• Proactively identify and manage resolution of technical and operational issues

• Managing risks and dependencies in live environments

• Maintain clear operational documentation, including plans, risk logs, and issue trackers.

• Lead communication with all stakeholders: provide regular progress updates, escalate blockers, and manage expectations.

• Lead meetings and technical discussions with a focus on decision-making, clear next steps, and timely execution.

• Collaborate with cross-functional teams.

• Engage directly with data center engineers, vendors, and operations teams.

• Participate in related project tasks, including automation, process improvements, and design support as needed.

We expect you to have:

• Proven experience in data center infrastructure operations, preferably in high-performance or AI-oriented environments.

• Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations.

• Hands on experience working with IT hardware in data centers.

• Be comfortable in data center environments and during live operations.

• Experience in project delivery, team management, cross team collaboration

• Strong problem-solving skills; ability to troubleshoot technical and workflow issues in an IT stack.

• Ability to document processes, maintain tracking systems, and produce clear deployment reports.

• Activity, responsibility and purposefulness

• Ready for occasional business trips

It will be an added bonus if you have:

• Familiarity with structured project management or delivery frameworks (e.g., PRINCE2, PMI, Agile)

• Relevant technical certifications 

• In depth technical knowledge of GPU servers, compute nodes, high-speed networking

The role

We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.

Your responsibilities will include

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting

• Execute workarounds and solutions for IT hardware issues

• Act as a subject matter expert and point of escalation for L1 and L2 technicians

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

• Collaborate with vendors on warranty replacements (RMA), create requests and manage.

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Skills working with the Unix/linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Skills of repairing electronics at the component level (SMD)

• Knowledge of network equipment and troubleshooting

• Driving license type B

The role

Nebius is looking for a Supply Chain Security Coordinator to support the security of high-value assets across our global supply chain operations. This role sits within the Supply Chain department and plays a critical part in coordinating security activities across internal teams and external partners worldwide.

You’re welcome to work in our offices in Tel Aviv, Israel.

Your responsibilities will include: 

• Coordinate supply chain security operations across international stakeholders, including logistics providers, vendors, and internal teams
• Act as a central operational control point of contact for security-related matters across global supply chain activities
• Track task progress across multiple stakeholders and ensure timely completion
• Identify operational gaps, delays, or risks and proactively drive resolution
• Ensure consistent communication and alignment between internal and external functions
• Support secure movement of high-value goods across regions
• Escalate and manage security incidents in coordination with relevant teams
• Support the implementation and continuous improvement of supply chain security processes and protocols
• Maintain clear and professional communication across multiple time zones

We expect you to have: 

• High level of English proficiency (spoken, written, and reading) is required; native-level English is an advantage
• Strong communication skills with the ability to coordinate across diverse, international teams
• Confident and assertive personality with the ability to take ownership and drive actions
• Team player with strong interpersonal skills
• Strong attention to detail and high level of accuracy
• Ability to break down complex processes into structured tasks
• Proven ability to manage multiple concurrent workflows and stakeholders
• High level of ownership with an execution-oriented mindset
• Ability to work under pressure in a fast-paced operational environment
• High availability and responsiveness

It will be an added bonus if you have: 

• Previous experience in a Security Operations Center (SOC), command center, or similar operational environment
• Background in supply chain, logistics, or security coordination roles
• Experience working in a fast-paced, international environment

Working Conditions

• Work across global time zones (Europe & US), including non-standard hours when required
• High-paced, operational environment requiring constant situational awareness
• Role requires availability and responsiveness outside standard working hours when needed

• 5+ years of experience in technical recruitment, with a strong focus on senior-level hiring.
• Fluent in speaking Hebrew
• Proven track record hiring in AI/ML, LLMs, Inference, distributed systems, HPC, infrastructure, GPU engineering, or related areas.
• Strong sourcing expertise and deep understanding of modern engineering roles, tech stacks, and motivations of senior candidates.
• Ability to operate autonomously in a fast-moving environment, balancing multiple complex searches.
• Excellent communication, stakeholder management, and analytical skills.
• Curiosity, creativity, and the ability to translate complex technical requirements into effective sourcing strategies.

About the Product 

Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises. 

We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs. 

Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases. 

 About the Team 

We are a fast-growing, distributed team of engineers and product professionals based primarily in Europe. The team brings together strong backend, frontend, product, and business expertise, with a shared focus on building impactful, scalable systems. 

While we initially started without deep specialisation in AI/ML, the team has rapidly grown into the  space—demonstrating strong ownership, curiosity, and the ability to tackle complex technical challenges. 

Technology & Environment 

Our work is deeply integrated with a broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems and collaborate closely with teams focused on areas such as infrastructure, observability, billing, and AI research. 

The platform continues to evolve from a lightweight integration layer into a more comprehensive system, including custom infrastructure, optimisations, and deeper control over performance and reliability. 

What We’re Working On 

• Scaling distributed systems: Expanding our platform to handle significantly increased workloads while maintaining performance and reliability  

• Improving reliability: Enhancing system stability and uptime to meet enterprise-grade expectations  

• Optimising AI performance: Continuously adapting to new models, hardware, and runtime improvements  

• Expanding platform capabilities: Building beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features  

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

Why It’s Interesting 

This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, and applied AI, tackling real-world scalability challenges and shaping how companies adopt AI in production environments. 

The role

We’re looking for an L2 IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters.

You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance.

This role requires shift work (day & night), that will be compensated.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The team  

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects. You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation and allows you to work on solutions that exceed industry standards in design and deployment.

The role

As an IT Manager, you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure.

Your role involves leading a team that works directly with cutting-edge technologies. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly.

Your responsibilities will include: 

• Manage IT support team to achieve KPI in IT infrastructure support and project planning.
• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
• Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.
• Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.
• Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.
• Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements.
• Manage additional processes around asset management, Return Merchandise Authorizations (RMAs).

We expect you to have: 

• 5+ years of team management, hands-on experience in diagnosing and resolving server hardware issues.
• A solid understanding of data center operations, as well as server and network equipment principles.
• Practical experience in project planning and management.
• Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM).
• Basic proficiency in the Linux operating system and familiarity with command-line tools.
• Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables.
• Advanced Excel skills, including proficiency with pivot tables, formulas, lists and graph creation.
• A proactive, responsible and goal-oriented approach to work.

It will be an added bonus if you have: 

• ITIL and/or PMI certification.
• Driving License (Category B)

The Role

As a Regional IT Operations Manager, you will be responsible for the overall performance, reliability, and continuous improvement of data center IT operations within a dedicated region. You will provide strategic and operational leadership to multiple Data Center IT Managers, ensuring consistent service delivery, high availability of infrastructure, and alignment with business objectives.

This role requires a strong leader with hands-on experience in data center environments, capable of balancing day-to-day operational excellence with regional planning, standardization, and optimization of IT processes.

You will act as the key escalation point for regional IT operations, driving best practices, operational maturity, and cross-site collaboration.

Key Responsibilities

• Lead, mentor, and manage Data Center IT Managers across the assigned region.

• Establish clear goals, KPIs, and performance expectations aligned with global IT operations strategy.

• Ensure consistent implementation of operational standards, procedures, and best practices across all regional data centers.

• Act as the senior escalation point for critical incidents and operational risks within the region.

• Oversee regional IT infrastructure operations, including servers, networking equipment, storage systems, and supporting hardware.

• Ensure high availability, reliability, and performance of mission-critical systems, including GPU clusters and high-density environments.

• Monitor operational health and capacity across sites, proactively addressing risks and bottlenecks.

• Review major incidents and root cause analyses, driving corrective and preventive actions.

• Govern regional change activities related to hardware installation, upgrades, decommissioning, and migrations.

• Promote automation, standardization, and documentation across data center IT operations.

• Collaborate with internal stakeholders, global IT teams, and external vendors or colocation partners.

• Ensure compliance with contractual obligations and operational SLAs

• Provide regular reporting on regional performance, risks, capacity, and improvement initiatives to senior management.

• Ensure adherence to security, safety, and compliance requirements within data center environments.

We Expect You to Have

• Experience managing multi-site or regional data center operations.

• 8+ years of experience in data center IT operations, including hands-on infrastructure support.

• 5+ years of proven people management experience, leading managers or large technical teams.

• Familiarity with high-performance computing (HPC) or GPU-based environments.

• Strong background in server hardware, enterprise networking equipment, and data center technologies.

• Solid understanding of data center operations, lifecycle management, and support models.

• Practical experience in project planning, execution, and cross-site coordination.

• Knowledge of ITIL / ITSM practices and operational support processes.

• Experience with IT asset management processes and RMA.

• Excellent leadership, communication, and decision-making skills.

• Strong analytical mindset with the ability to assess risks and drive data-driven improvements.

It Will Be an Added Bonus If You Have

• ITIL, PMI, or similar professional certifications.

• Driving License (Category B).

About Tavily Team

Tavily team is building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.

The Role: Senior Backend Engineer (Tavily)

We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.

This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.

What You’ll Do

• Design and build high-performance distributed systems

• Design and implement backend infrastructure and API endpoints

• Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

• Improve performance, monitoring, and reliability across the stack

• Own core systems and contribute to key architectural decisions

• Help shape a strong engineering culture focused on velocity and quality

What You Bring

• 5 years of professional software engineering experience

• Strong backend development skills

• Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale

• Hands-on expertise with AWS infrastructure and cloud-native services, bringing practical knowledge of deploying and managing services in real-world environments

• Comfortable in a fast-paced startup environment with lots of ownership

• Strong sense of ownership and accountability over outcomes

• Curiosity about LLMs, retrieval and the future of AI systems, with a drive to stay at the forefront of new technology

• Based in Tel-Aviv or open to relocating

Nice To Have

• Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code, Kubernetes orchestration, and modern monitoring tools

The Role

We are seeking a detail-oriented and experienced Regional Asset Manager to oversee the management of our Data Center IT infrastructure assets. You will play a crucial role in ensuring efficient utilization, tracking, and management of IT equipment to support operational excellence in IT department.

Key Responsibilities:

• Be responsible for an inventory database for all IT assets, including servers, storage systems, networking equipment including data center IT components like GPUs, transceivers and many more.

• Conduct regular audits of physical and virtual assets to ensure accuracy and compliance with company policies.

• Manage the entire lifecycle of IT assets from procurement through deployment, maintenance, and eventual disposal.

• Manage RMA process for GPUs, Motherboard, Power supplies, and many more data centre components.

• Generate regular reports on asset utilization, performance metrics, and financial analysis related to the IT infrastructure.

• Analyze trends and provide recommendations for optimizing asset performance and reducing costs.

• Establish and enforce policies regarding asset management practices, including security, compliance, and risk management.

• Ensure adherence to industry standards and regulations concerning IT asset management.

• Work closely with IT departments, project managers, and other stakeholders to support projects and initiatives requiring asset allocation.

• Communicate asset status and potential issues to senior management and relevant teams effectively.

• Identify opportunities for process improvements in asset tracking, reporting, and life cycle management.

Requirements:

• Bachelor’s degree in Information Technology, Business Administration, or a related field.

• Proven experience in asset management, particularly within IT equipment assets.

• Strong understanding of IT infrastructure components and asset management tools.

• Excellent analytical, organizational, and problem-solving skills.

• Strong communication and interpersonal skills.

• Strong written and spoken fluency in English

• Excel at the advanced level (pivot tables, formulas, lists, graphs).

• Experience with budgeting and financial forecasting related to IT assets.

• Readiness for business trips.

It will be an added bonus if you have:

Relevant certifications like IAITAM CHAMP or equivalent.

• Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
• Implement asset management processes to track the full lifecycle of assets.
• Review and refine logistics/warehousing processes to identify areas for improvement.
• Set up and manage equipment certification processes to meet operational and regulatory requirements.
• Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
• Manage insurance for assets, including claims, renewals and risk mitigation strategies.
• Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
• Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
• Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.

• 3-5 years of experience in logistics or logistics project management.
• Familiarity with logistics management systems, ERP software and asset-tracking tools.
• Strong project management skills with the ability to manage multiple tasks and priorities.
• Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
• Strong attention to detail and organizational skills.

The Role

Tavily team is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG). We are backed by leading investors and serve developers and enterprises worldwide. Our team is fast-moving and ambitious. We ship quickly, iterate constantly, and care deeply about impact.

As a Software Engineer - Scraping Specialist, you’ll build the systems that power how AI interacts with the live web. You’ll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.

This role blends technical understanding of browsers, networks, and automation with hands-on engineering. You’ll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.

Your work will directly shape Tavily’s ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What You’ll Do

• Build distributed data acquisition systems that capture and structure the live web
• Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
• Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
• Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
• Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
• Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
• Continuously evolve Tavily’s capabilities in resilience, speed, and authenticity of web interaction

What We’re Looking For

• 3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure
• Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus
• Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments
• Solid understanding of browser internals, network protocols, and web interaction mechanisms
• Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration
• Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions
• Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly
• Excellent documentation and communication skills to ensure smooth integration and operational visibility

Nice to Have

• Familiarity with cloud infrastructure, containerization (Docker), Kubernetes, and CI/CD
• Experience integrating AI or retrieval systems into production pipelines

About Tavily Team

Tavily team is building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.

The role 

We are looking for an outstanding and diligent Technology Commercial Legal Counsel with an excellent track record, a strong work ethic, and exceptional attention to details to join our dynamic Legal team based in Tel Aviv.

You will take ownership of drafting, reviewing, and negotiating critical worldwide agreements that underpin Tavily’s business operations, while ensuring our compliance with global privacy and data protection regulations.

You’re welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include: 

• Draft, review, and negotiate a wide range of commercial agreements, including customer, vendor, consulting, referral, reseller and NDAs.
• Support and enhance Tavily’s privacy and data protection program, ensuring compliance with applicable regulations such as the GDPR, CCPA, and other global standards.
• Review and negotiate DPAs and provide ongoing legal guidance on privacy matters.
• Partner with cross-functional teams, including Product and R&D, to identify legal needs and implement best practices.
• Draft employment-related documents and advise on employment law matters.
• Provide legal support on corporate matters.
• Collaborate with stakeholders across the company to assess legal risk and develop practical mitigation strategies.

We expect you to have: 

• Bar admission in the U.S., EU or Israel.
• LL.B. or equivalent law degree, from a top-tier university.
• 3-6 years experience post internship/trainee program, practicing commercial and privacy law, at both leading law firm and as in-house counsel at a tech company.
• Strong experience in drafting and negotiating technology commercial agreements (including DPAs).
• Experience with global privacy regulations (such as the GDPR, CPRA, U.S. state privacy laws).
• Experience with U.S. copyright and intellectual property laws.

It will be an added bonus if you have: 

• Familiarity with global AI regulations
• Experience in corporate or employment law
  
  

The role

We’re looking for an L2 IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters.

You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance.

This role requires shift work (day & night), that will be compensated.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The role

We’re looking for a Business Development Representative, who will be the first point of contact for leading companies across Israel exploring next-generation cloud and AI solutions. Working closely with Account Executives, Marketing, and Product teams, you will build and qualify pipeline to accelerate Nebius’s growth in Israeli markets.

You’re welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include: 

Territory & Account Penetration

• Collaborate with AEs to map and prioritize target accounts across Israel, then execute a mix of outbound calls, personalized emails, and LinkedIn outreach to secure qualified meetings.

Inbound Lead Qualification

• Screen and qualify inbound MQLs generated by Marketing, ensuring each prospect meets BANT criteria before handing off a detailed prospect brief to AEs.

Customer & Market Engagement

• Conduct qualification calls to uncover customer pain points, technical requirements, and budget.
• Represent Nebius at key European tech events, book on-site meetings, and follow up to maximize ROI.

Feedback & Continuous Improvement

• Gather market intelligence (common objections, competitive insights, feature requests) during prospect conversations and share it with Product and Marketing.
• Monitor outreach metrics—open rates, reply rates, connect rates—and collaborate with Sales Ops to optimize cadences and scripts.
• Stay up to date on AI and cloud trends (e.g., generative AI in pharma R&D) to position Nebius’s value proposition effectively.

We expect you to have: 

Language & Market Expertise:

• Fluent English and Hebrew is required, both written and verbal.
• 2+ years of SDR/BDR experience in cloud, B2B SaaS, or AI, with a proven track record targeting Israeli markets.

Technical & Sales Skills:

• Strong understanding of GDPR and local data-privacy regulations.

Soft Skills & Mindset:

• Highly self-motivated, goal-oriented, and able to thrive in a fast-paced startup environment.
• Excellent written and verbal communication skills, with strong cross-cultural awareness and adaptability.
• Collaborative team player comfortable operating in a hybrid office model.

It will be an added bonus if you have: 

•   Familiarity with HubSpot CRM and sales engagement tools such as Outreach.

The role

Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.

Some directions we are currently working on, and which you can be a part of:

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
• Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
• Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and transformer architecture.
• Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
• Understanding of GPU memory hierarchy and compute/memory tradeoffs
• Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
•  Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
•  Strong software engineering skills (we mostly use Python)
• Deep experience with modern deep learning frameworks
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities

Nice to have:

• Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
• Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess
•  Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.