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This involves receiving, storing, and issuing high-value hardware, maintaining accurate stock and asset records, and providing equipment to data center engineers on time.</p>\n<h3>Responsibilities</h3>\n<h4>Receiving &amp; Dispatch</h4>\n<ul>\n<li>Receive inbound shipments according to the delivery schedule, checking seals, packaging, and contents against ASN, packing list, and PO.</li>\n<li>Record any damage and discrepancies with photos and hand them over to Transport Coordination for insurance cases.</li>\n<li>Prepare outbound shipments and RMA returns, including picking, packing, labeling, and documentation.</li>\n<li>Ensure adherence to handling standards for heavy, fragile, and high-value equipment.</li>\n</ul>\n<h4>Provisioning to Data Center Operations</h4>\n<ul>\n<li>Issue equipment and spare parts to DC engineers on time based on requests and project priorities.</li>\n<li>Stage and kit hardware for rack deployments as agreed upon with ITDC and Project Managers.</li>\n<li>Maintain visibility of available site stock and flag shortages to the Team Lead and Logistics Planning.</li>\n</ul>\n<h4>Inventory &amp; Asset Control</h4>\n<ul>\n<li>Post receipts, issues, and transfers in ERP/WMS on the same day as physical movement.</li>\n<li>Create inventory and asset records for received equipment, including serial numbers.</li>\n<li>Conduct cycle counts and annual stock takes, investigating and reporting discrepancies to Back Office.</li>\n<li>Keep the warehouse organized, labeled, and tidy by location.</li>\n</ul>\n<h4>Security, Safety &amp; Compliance</h4>\n<ul>\n<li>Follow site security procedures for deliveries, access control, and storage of high-value items.</li>\n<li>Apply safety rules for handling equipment and operating material handling equipment.</li>\n<li>Maintain complete and audit-ready records.</li>\n</ul>\n<h4>Process &amp; Continuous Improvement</h4>\n<ul>\n<li>Adhere to global SOPs and site-specific instructions.</li>\n<li>Suggest improvements and report recurring issues to the Team Lead and Project Office.</li>\n<li>Participate in pilots and rollouts of new processes and tools.</li>\n</ul>\n<h4>Local Expertise</h4>\n<ul>\n<li>Provide site-specific knowledge to Transport, Planning, and 3PL teams.</li>\n<li>Identify local operational risks and propose practical mitigations.</li>\n</ul>\n<h4>Add-on Roles (when assigned)</h4>\n<ul>\n<li>Own RMA flows at the site, including intake, documentation, return shipment, and status tracking.</li>\n<li>Provide first-line support and training for colleagues on systems like IRG / NetSuite / Project44.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Ability to work autonomously in daily warehouse tasks within SOPs.</li>\n<li>Focus on keeping DC engineers supplied with the right hardware on time and maintaining accurate site stock.</li>\n<li>Clear and timely communication with the Team Lead, DC engineers, and logistics teams.</li>\n<li>Occasional travel to support other sites during launches or peaks.</li>\n<li>On-site work mode; remote work is not expected.</li>\n</ul>\n<h3>Benefits &amp; Perks</h3>\n<ul>\n<li>Competitive compensation</li>\n<li>Career growth and learning opportunities</li>\n<li>Flexibility and ownership</li>\n<li>Collaborative and innovative culture</li>\n<li>Opportunity to work on impactful AI projects</li>\n<li>International environment and talented teams</li>\n</ul>","enriched_at":1793629424834},{"id":"job_8c312528-091","title":"Warehouse and Logistics Team Lead","source_url":"https://job-boards.greenhouse.io/nebius/jobs/5008995101","location":"Johor Bahru, Johor","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Logistics & Supply Chain","description":"<h3>Job Overview</h3>\n<p>The Logistics Team Lead oversees and coordinates all warehouse and logistics operations for data center hardware. This role ensures that inbound/outbound shipments, inventory accuracy, and equipment provisioning meet operational standards.</p>\n<h3>Responsibilities</h3>\n<h4>Warehouse &amp; Shipment Management</h4>\n<ul>\n<li>Ensure timely and accurate processing of inbound and outbound shipments.</li>\n<li>Establish and maintain Standard Operating Procedures (SOPs) for shipping and material handling.</li>\n<li>Oversee packaging standards for equipment.</li>\n<li>Handle escalations with warehouse operations.</li>\n<li>Identify bottlenecks and optimize warehouse workflows.</li>\n<li>Identify opportunities for process and tools improvement.</li>\n</ul>\n<h4>Inventory &amp; Asset Control</h4>\n<ul>\n<li>Lead cyclical and annual inventory checks across all warehouse and external storage locations.</li>\n<li>Guarantee data accuracy in the inventory system (ERP, WMS).</li>\n<li>Supervise the assets creation process.</li>\n<li>Analyze inventory discrepancies and implement preventive measures.</li>\n</ul>\n<h4>Team Management</h4>\n<ul>\n<li>Lead and mentor a logistics team.</li>\n<li>Distribute tasks, monitor performance, and conduct onboarding processes.</li>\n<li>Act as an escalation point for operational and staffing issues.</li>\n<li>Manage resources (internal and outsourced).</li>\n</ul>\n<h4>Stakeholder Communication</h4>\n<ul>\n<li>Act as the primary logistics contact for data center engineers, project managers, and procurement teams.</li>\n<li>Manage relationships with relevant partners.</li>\n</ul>\n<h4>Risk Management</h4>\n<ul>\n<li>Assess and mitigate risks related to logistics operations, including equipment damage, delays, and theft.</li>\n<li>Establish safety protocols for handling heavy, fragile equipment.</li>\n<li>Perform root-cause analysis of logistics incidents and implement corrective actions.</li>\n<li>Coordinate with data center operations and security teams to align risk management practices.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>5+ years of experience in warehouse/logistics operations, preferably in IT hardware or data centers.</li>\n<li>Proven leadership experience (managing people and processes).</li>\n<li>Strong knowledge of shipping standards and inventory systems.</li>\n<li>Analytical mindset with the ability to drive continuous improvement.</li>\n<li>Excellent communication and stakeholder management skills.</li>\n</ul>\n<h3>Benefits &amp; Perks</h3>\n<ul>\n<li>Competitive compensation</li>\n<li>Career growth and learning opportunities</li>\n<li>Flexibility and ownership</li>\n<li>Collaborative and innovative culture</li>\n<li>Opportunity to work on impactful AI projects</li>\n<li>International environment and talented teams</li>\n</ul>","enriched_at":1793629395636},{"id":"job_3fb13401-200","title":"Warehouse and Logistics Team Lead","source_url":"https://job-boards.greenhouse.io/nebius/jobs/5008964101","location":"Singapore","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Logistics & Supply Chain","description":"<h3>Job Description</h3>\n<p>Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.</p>\n<h4>The Role</h4>\n<p>The Logistics Team Lead oversees and coordinates all warehouse and logistics operations for data center hardware. This role ensures that inbound/outbound shipments, inventory accuracy, and equipment provisioning meet operational standards.</p>\n<h5>Key Responsibilities:</h5>\n<ul>\n<li>Warehouse &amp; Shipment Management</li>\n<li>Ensure timely and accurate processing of inbound and outbound shipments.</li>\n<li>Establish and maintain SOPs for shipping and material handling.</li>\n<li>Oversee packaging standards for equipment.</li>\n<li>Handle escalations with warehouse operations.</li>\n<li>Identify bottlenecks and optimize warehouse workflows.</li>\n<li>Identify opportunities for process and tools improvement.</li>\n</ul>\n<ul>\n<li>Inventory &amp; Asset Control</li>\n<li>Lead cyclical and annual inventory checks across all warehouse and external storage locations.</li>\n<li>Guarantee data accuracy in the inventory system (ERP, WMS).</li>\n<li>Assets creation process supervision.</li>\n<li>Analyze inventory discrepancies and implement preventive measures.</li>\n</ul>\n<ul>\n<li>Team Management</li>\n<li>Lead and mentor a logistics team.</li>\n<li>Distribute tasks, monitor performance, and conduct onboarding process.</li>\n<li>Act as escalation point for operational and staffing issues.</li>\n<li>Resource management (internal + outsource)</li>\n</ul>\n<ul>\n<li>Stakeholder Communication</li>\n<li>Act as primary logistics contact for data center engineers, project managers, and procurement teams.</li>\n<li>Manage relationships with relevant partners.</li>\n</ul>\n<ul>\n<li>Risk Management</li>\n<li>Assess and mitigate risks related to logistics operations, including equipment damage, delays and theft.</li>\n<li>Establish safety protocols in handling heavy, fragile equipment.</li>\n<li>Perform root-cause analysis of logistics incidents and implement corrective actions.</li>\n<li>Coordinate with data center operations and security teams to align risk management practices.</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>5+ years in warehouse/logistics operations, preferably in IT hardware or data centers.</li>\n<li>Proven leadership experience (managing people and processes).</li>\n<li>Strong knowledge of shipping standards and inventory systems.</li>\n<li>Analytical mindset with ability to drive continuous improvement.</li>\n<li>Excellent communication and stakeholder management skills.</li>\n</ul>\n<h4>Benefits &amp; Perks</h4>\n<ul>\n<li>Competitive compensation</li>\n<li>Career growth and learning opportunities</li>\n<li>Flexibility and ownership</li>\n<li>Collaborative and innovative culture</li>\n<li>Opportunity to work on impactful AI projects</li>\n<li>International environment and talented teams</li>\n</ul>","enriched_at":1793629375238},{"id":"job_89670d4e-277","title":"U.S. Regional Intelligence Analyst","source_url":"https://job-boards.greenhouse.io/nebius/jobs/4988767101","location":"United States","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Research","description":"<p>Nebius is seeking a U.S. Regional Intelligence Analyst to develop an up-to-date and in-depth regional understanding of the environment in which Nebius operates across the United States. The role involves monitoring and analyzing political, regulatory, legal, public, and infrastructure-related developments, assessing community activity and local activism, and identifying trends and changes that may affect the company and its existing or planned projects.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Monitor and analyze political, governmental, regulatory, and legal developments at the federal, state, and local levels across the United States.</li>\n<li>Monitor changes in policy, legislation, permitting, and planning processes that may affect the company&#39;s operations and existing or planned projects.</li>\n<li>Assess the local environment surrounding company sites, including community activity, activism, protests, and public sentiment.</li>\n<li>Map and analyze relevant stakeholders, including authorities, elected officials, local organizations, community groups, and professional bodies.</li>\n<li>Monitor media trends, public narratives, and reputational issues relating to the company, its sites, and its operations in the United States.</li>\n<li>Analyze developments involving the power grid, energy market, water, infrastructure, and environmental matters that may affect sites and projects.</li>\n<li>Identify emerging changes, risks, and opportunities of potential significance to the company&#39;s regional operations.</li>\n<li>Prepare regional assessments, state and site reviews, profiles, alerts, and decision-focused briefings.</li>\n<li>Provide research support for site and project evaluations, executive visits, meetings, and business activities in the United States.</li>\n<li>Collaborate with internal teams to align monitoring activities and deliverables with the company&#39;s business and professional needs.</li>\n<li>Maintain an up-to-date regional intelligence picture and provide ongoing reporting on material developments affecting the company&#39;s sites and projects in the United States.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>At least eight years of experience in regional research, commercial or business intelligence, risk analysis, policy research, political and regulatory research, or another relevant professional field.</li>\n<li>Demonstrated experience researching and analyzing the U.S. environment at the federal, state, and local levels.</li>\n<li>Strong familiarity with the structure of the U.S. government, legislative and regulatory processes, local authorities, and planning and permitting procedures.</li>\n<li>Ability to conduct in-depth research using open sources, databases, official documents, public records, legal and regulatory sources, media, and social media.</li>\n<li>Experience analyzing stakeholders, community activity, local activism, public trends, and reputational issues.</li>\n<li>Demonstrated ability to integrate information from different sources, identify trends and early signals, and develop clear, well-founded assessments.</li>\n<li>Experience preparing reviews, assessments, and briefings for management and internal stakeholders.</li>\n<li>Ability to work independently, manage multiple assignments, and meet deadlines while adapting to changing priorities.</li>\n<li>Sound judgment, accuracy, discretion, and the ability to handle sensitive information responsibly.</li>\n<li>Bachelor&#39;s degree in a relevant field such as political science, international relations, law, public policy, economics, U.S. studies, or a comparable discipline.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.</li>\n<li>401(k) plan: Up to 4% company match with immediate vesting.</li>\n<li>Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.</li>\n<li>Remote work reimbursement: Up to $85/month for mobile and internet.</li>\n<li>Disability &amp; life insurance: Company-paid short-term, long-term and life insurance coverage.</li>\n</ul>\n<p>Salary Range: $121,100-$151,300 USD</p>","enriched_at":1793629351895},{"id":"job_8a240990-698","title":"Support Engineering Team Lead","source_url":"https://job-boards.greenhouse.io/nebius/jobs/5017733101","location":"United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>We are looking for an L3 Support Engineering Lead to help grow a small team responsible for resolving Nebius&#39; most complex customer issues.</p>\n<p>This is a hands-on technical role that combines deep troubleshooting with day-to-day team leadership. You will provide technical direction, help organize the team&#39;s work and step into complex investigations when your expertise is needed.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead and support a small, distributed team of L3 Support Engineers.</li>\n<li>Help plan, prioritize and distribute work based on customer impact, technical complexity and team capacity.</li>\n<li>Provide technical guidance and hands-on support for complex or high-impact customer issues.</li>\n<li>Coach engineers, share knowledge and help the team become increasingly independent.</li>\n<li>Build strong working relationships with L2 Support, pre-sales, post-sales, customer engineering, product and engineering teams.</li>\n<li>Ensure escalations include the necessary technical context, evidence and customer information.</li>\n<li>Identify whether an issue belongs to the platform, a customer environment or another technical area, and involve the appropriate specialists.</li>\n<li>Maintain high standards for troubleshooting, documentation, handoffs and customer communication.</li>\n<li>Identify recurring issues and gaps in tooling, documentation, processes or team knowledge, and help drive practical improvements.</li>\n<li>Support team planning, coverage and forecasting as the organization grows.</li>\n<li>Participate in scheduled operational or duty work when specialist expertise is required.</li>\n<li>Contribute to hiring and onboarding additional engineers as the team expands.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Strong hands-on experience troubleshooting complex production, cloud or infrastructure-related issues.</li>\n<li>Experience leading technical work, mentoring engineers or coordinating a small team or task force.</li>\n<li>Clear and confident communication with customers, engineers and cross-functional stakeholders.</li>\n<li>Strong working knowledge of Linux environments.</li>\n<li>Experience with Kubernetes and container-based platforms.</li>\n<li>Practical understanding of infrastructure fundamentals, including networking and storage.</li>\n<li>Familiarity with block, file and object storage and the ability to investigate issues across these technologies.</li>\n<li>Sound judgment when working through ambiguous or high-impact technical problems.</li>\n<li>Ability to organize work, set priorities and keep multiple stakeholders aligned.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience supporting GPU cloud infrastructure or AI/ML workloads.</li>\n<li>Experience planning or troubleshooting model deployments.</li>\n<li>Familiarity with Python or Bash scripting and technical automation.</li>\n<li>Experience working in a technical support, SRE, production operations or customer engineering organization.</li>\n<li>Experience collaborating with globally distributed teams that provide 24/7 customer coverage.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>100% company-paid medical, dental, and vision coverage for employees and families.</li>\n<li>401(k) plan: Up to 4% company match with immediate vesting.</li>\n<li>Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.</li>\n<li>Remote work reimbursement: Up to $85/month for mobile and internet.</li>\n<li>Disability &amp; life insurance: Company-paid short-term, long-term and life insurance coverage.</li>\n</ul>\n<p>Compensation: $179,500-$224,300 USD</p>","enriched_at":1793629314693},{"id":"job_7a783a1f-023","title":"Startup Community Manager","source_url":"https://job-boards.greenhouse.io/nebius/jobs/5009405101","location":"San Francisco, California","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Operations","description":"<p>Nebius is looking for a community-focused professional to join its global startup team as Startup Community Manager. In this role, you will lead community engagement and activation across Nebius&#39; venture capital ecosystem, developing programs that connect investors, founders, and high-potential AI startups.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Leading community engagement and ecosystem activation by building and managing relationships with VC platform and community teams</li>\n<li>Developing curated programming, including founder dinners, investor roundtables, and portfolio gatherings</li>\n<li>Driving portfolio engagement and startup ecosystem growth by identifying and engaging high-potential VC-backed startups</li>\n<li>Measuring community impact by tracking partner engagement, portfolio company participation, and program performance</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>3-5+ years of experience in startup ecosystem development, community building, strategic partnerships, or event programming</li>\n<li>Experience working with venture capital platform teams, startup founders, or VC-backed startup communities</li>\n<li>Demonstrated ability to build and manage relationships through proactive outreach and ongoing engagement</li>\n<li>Strong audience development, relationship management, and organizational skills</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive compensation ($140,000-$170,000 USD)</li>\n<li>100% company-paid medical, dental, and vision coverage for employees and families</li>\n<li>401(k) plan with up to 4% company match</li>\n<li>Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers</li>\n<li>Remote work reimbursement: up to $85/month for mobile and internet</li>\n</ul>","enriched_at":1793629270766},{"id":"job_b602e3ee-0bb","title":"Site Selection & Colocation Manager – Data Centers","source_url":"https://job-boards.greenhouse.io/nebius/jobs/5018716101","location":"Australia","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Operations","description":"<p>The Site Selection &amp; Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth.</p>\n<p>Responsibilities:</p>\n<h4>Site Selection &amp; Market Analysis</h4>\n<ul>\n<li>Lead the end-to-end site selection process for new data center facilities.</li>\n<li>Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors.</li>\n<li>Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing.</li>\n<li>Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies.</li>\n</ul>\n<h4>Technical &amp; Environmental Due Diligence</h4>\n<ul>\n<li>Coordinate environmental, geotechnical, hydrological, and seismic assessments.</li>\n<li>Assess infrastructure availability (power, water, fiber) and future scalability.</li>\n<li>Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility.</li>\n<li>Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements.</li>\n</ul>\n<h4>Colocation Strategy &amp; Vendor Management</h4>\n<ul>\n<li>Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure.</li>\n<li>Lead RFPs, negotiations, and contract execution with colocation and connectivity partners.</li>\n<li>Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations.</li>\n<li>Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics.</li>\n</ul>\n<h4>Cross-Functional Collaboration</h4>\n<ul>\n<li>Work with data center design and construction teams to validate site feasibility and development timelines.</li>\n<li>Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance.</li>\n<li>Support finance with CapEx/OpEx modeling, ROI calculations, and business case development.</li>\n<li>Coordinate with public authorities, utilities, and permitting agencies as needed.</li>\n</ul>\n<h4>Risk Assessment &amp; Compliance</h4>\n<ul>\n<li>Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability.</li>\n<li>Ensure compliance with local regulations, zoning laws, and corporate standards.</li>\n<li>Maintain documentation for audits, reporting, and internal approvals.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field.</li>\n<li>5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure.</li>\n<li>Strong understanding of data center power, cooling, and network requirements.</li>\n<li>Experience in evaluating colocation providers and negotiating leases/SLAs.</li>\n<li>Analytical skills in market research, cost modeling, and risk assessment.</li>\n<li>Ability to manage multiple simultaneous projects across regions.</li>\n<li>Excellent communication, negotiation, and stakeholder management skills.</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Experience with hyperscale or large-scale data center development.</li>\n<li>Knowledge of utility procurement (power, water), renewable energy markets, and substation planning.</li>\n<li>Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning.</li>\n<li>Understanding of permitting processes and environmental regulations.</li>\n</ul>\n<p>Benefits &amp; Perks:</p>\n<ul>\n<li>Competitive compensation</li>\n<li>Career growth and learning opportunities</li>\n<li>Flexibility and ownership</li>\n<li>Collaborative and innovative culture</li>\n<li>Opportunity to work on impactful AI projects</li>\n<li>International environment and talented teams</li>\n</ul>","enriched_at":1793629240602},{"id":"job_98674573-e31","title":"Senior Systems Software Engineer, GPU Compute","source_url":"https://job-boards.greenhouse.io/nebius/jobs/4837283101","location":"Amsterdam","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>We&#39;re looking for a Senior Software Systems Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU &amp; InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.</li>\n<li>Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions.</li>\n<li>Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM.</li>\n<li>Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.</li>\n<li>Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming).</li>\n<li>3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning).</li>\n<li>In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.</li>\n<li>Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking.</li>\n<li>Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads).</li>\n<li>Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication.</li>\n<li>Background in Software-Defined Networking (SDN) and experience with HPC cluster networking.</li>\n<li>Understanding of QEMU/KVM virtualization and managing virtualized environments.</li>\n<li>Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems.</li>\n<li>Familiarity with collective communication libraries like MPI and NCCL for distributed computing.</li>\n</ul>\n<p>We offer competitive salaries ranging from $170k-$300k + equity based on your experience.</p>","enriched_at":1793629198861},{"id":"job_c50a7ded-6dd","title":"Senior Support Engineer","source_url":"https://job-boards.greenhouse.io/nebius/jobs/5010126101","location":"Remote - United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>We are looking for a Support Engineer L2 to resolve complex technical issues escalated by Nebius clients.</p>\n<p>This position requires strong analytical skills, effective communication, and a customer-centric approach to deliver outstanding service and ensure operational continuity.</p>\n<p>You’re welcome to work remotely from the USA.</p>\n<p>Please note that this is a shift work.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Diagnose and resolve technical issues, focusing on Linux, networking, security, Kubernetes and cloud environments.</li>\n<li>Analyze and resolve storage-related issues using a strong understanding of data storage concepts.</li>\n<li>Apply ML knowledge to assist with troubleshooting model deployment, performance issues and integration challenges in ML pipelines.</li>\n<li>Develop Python and Bash automation scripts to streamline processes and optimize workflows.</li>\n<li>Provide timely updates and clear customer explanations regarding issue status and resolutions.</li>\n<li>Escalate unresolved problems promptly to ensure minimal service disruption.</li>\n<li>Maintain and improve technical documentation to support troubleshooting and issue prevention.</li>\n</ul>\n<p>We expect you to have:</p>\n<ul>\n<li>Linux administration – advanced</li>\n<li>Networking – intermediate</li>\n<li>Kubernetes – intermediate</li>\n<li>Cloud solutions (AWS, Azure, GCP) – intermediate</li>\n<li>Python/Bash scripting – intermediate</li>\n<li>ML training, inference and pipelines – intermediate</li>\n<li>Data storage concepts – intermediate</li>\n<li>Troubleshooting and problem-solving – advance</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.</li>\n<li>Experience: 5+ years in technical support, with at least 3 years of hands-on experience in cloud environments.</li>\n</ul>\n<p>Working Hours:</p>\n<ul>\n<li>Availability for rotational shifts or on-call support as required.</li>\n</ul>\n<p>Key employee benefits in the US:</p>\n<ul>\n<li>Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.</li>\n<li>401(k) plan: Up to 4% company match with immediate vesting.</li>\n<li>Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.</li>\n<li>Remote work reimbursement: Up to $85/month for mobile and internet.</li>\n<li>Disability &amp; life insurance: Company-paid short-term, long-term and life insurance coverage.</li>\n</ul>","enriched_at":1793629173647},{"id":"job_065e4d47-fa8","title":"Senior Product Manager - Inference Platform","source_url":"https://job-boards.greenhouse.io/nebius/jobs/4828131101","location":"Remote - United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Product Management","description":"<p>We&#39;re building Nebius Token Factory, an AI inference platform for high-performance, cost-efficient workloads at scale, serving both developers and managed enterprise customers. As a Senior/Principal Product Manager, Inference Platform, you&#39;ll join a team of PMs under the Inference Platform lead and own a core platform stream end to end, from strategy and roadmap to launch and adoption.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across advanced model optimization, inference performance, model delivery, reliability, and enterprise features.</li>\n<li>Work with engineering and research to make inference more scalable, reliable and cost-efficient, and turn that into capabilities customers can depend on.</li>\n<li>Stay close to customers through research, interviews and hands-on PoCs, especially in managed enterprise.</li>\n<li>Track the market: open-source models, inference economics, and how businesses actually apply AI. Turn what you see into product bets.</li>\n</ul>\n<p>We expect you to have:</p>\n<ul>\n<li>Experience shipping technical platform products, with the seniority to lead work across multiple engineering teams.</li>\n<li>Real technical depth in how AI inference works, including model serving, distributed systems and production infrastructure. You think problems through yourself rather than relying on engineers to define them.</li>\n<li>Strong communication and expectations management across engineering, research, sales, support and leadership. You write crisp PRDs, RFCs and release notes.</li>\n<li>B2B/enterprise experience with technical buyers.</li>\n<li>Comfort with ambiguity and shifting scope</li>\n</ul>\n<p>It will be an added bonus if you have:</p>\n<ul>\n<li>Post-training experience, including training draft models.</li>\n<li>Experience with third-party technical partnerships.</li>\n</ul>\n<p>Key employee benefits in the US:</p>\n<ul>\n<li>Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.</li>\n<li>401(k) plan: Up to 4% company match with immediate vesting.</li>\n<li>Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.</li>\n<li>Remote work reimbursement: Up to $85/month for mobile and internet.</li>\n<li>Disability &amp; life insurance: Company-paid short-term, long-term and life insurance coverage.</li>\n</ul>\n<p>Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $228,000-$285,000 USD</p>","enriched_at":1793629149198}],"category_normalised":[{"category":"engineering","count":108},{"category":"product management","count":17},{"category":"operations","count":16},{"category":"logistics & supply chain","count":15},{"category":"security","count":14},{"category":"human resources","count":12},{"category":"finance","count":12},{"category":"it","count":11},{"category":"legal","count":7},{"category":"research","count":6},{"category":"sales","count":3},{"category":"policy & public affairs","count":3},{"category":"marketing","count":3},{"category":"facilities & maintenance","count":3},{"category":"data science","count":3},{"category":"physical security","count":2},{"category":"communications","count":2},{"category":"design","count":1}],"velocity":{"weeks":[{"week_start":"2026-10-26","count":238}],"trend":"stable","wow_pct":0},"momentum":{"recent_14d":238,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":175000,"industry_median":null,"percentile":null,"sample_size":71,"by_region":[{"region":"United States","company_median":169375,"industry_median":null,"sample":40},{"region":"Remote","company_median":197500,"industry_median":null,"sample":22},{"region":"Unknown","company_median":152500,"industry_median":null,"sample":5},{"region":"EU","company_median":255000,"industry_median":null,"sample":2}],"transparency_pct":31,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":238,"industry_total":238,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.248,"skill_weighted_score":0.668,"top_exposed_titles":[{"title":"Senior Backend Engineer","count":5,"score":0.288},{"title":"Senior Applied Scientist, Efficient LLM Inference & Model Optimization","count":5,"score":0.461},{"title":"Senior Customer AI Engineer - 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