Jobs at Nebius

Lead and grow strategic MSP and VAR partnerships across the US: develop partner enablement, negotiate contracts, align with sales and leadership, drive business development, analyze partner performance, and travel up to ~25% regionally.

The Growth Marketing Manager will optimize onboarding, run experiments to improve conversion rates, and work closely with product teams to enhance customer activation and retention.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

The Linux Systems Administrator will maintain and troubleshoot Linux systems, support network services, and work on systems integration while collaborating with infrastructure teams.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

Design and build systems for managing bare-metal infrastructure, focusing on automation, hardware provisioning, and software integration with Linux systems.

Work onsite in New York with enterprise customers to design, prototype, and deploy production-grade AI systems using Tavily's API. Build RAG pipelines, agent workflows, integrations, and POCs; drive adoption, monitor usage, and translate customer needs into product and engineering roadmap inputs.

Design and implement embedded firmware and low-level software for server BMCs and GPU/HPC platforms. Enhance OpenBMC, enable real-time telemetry of power/thermal sensors, debug low-level drivers and interfaces, validate hardware-firmware integration, and contribute to long-term firmware architecture for cluster reliability.

Embedded with strategic customers, own end-to-end design, build, and production rollout of cloud infrastructure for large-scale GPU/HPC AI workloads. Build compute orchestration, platform services, onboarding sandboxes, and reliability/security tooling. Turn field learnings into reusable platform capabilities and partner with Product and Engineering to productize them.

Lead end-to-end site selection and colocation strategy for global data center growth. Conduct market analysis, technical and environmental due diligence, manage RFPs and vendor contracts, coordinate cross-functional stakeholders, assess risks and ensure regulatory compliance and permitting.

The Compliance Due Diligence Specialist will conduct assessments for third parties, manage due diligence processes, and improve compliance operations.

The Senior Network Engineer will design, manage, and optimize large-scale data center networks for AI workloads, ensuring reliability and performance.

Collaborate on mechanical designs for data center systems, validating performance, overseeing construction, and ensuring designs meet quality benchmarks.

Senior individual contributor embedded with strategic customers to design, build, and roll out Physical AI production systems. Own end-to-end workflows across data, simulation, training, evaluation, deployment, and failure loops. Integrate customer datasets and simulation/robotics tooling, codify patterns for productization, and partner with Product and Engineering. Drive rapid prototyping, field enablement artifacts, and represent Nebius at technical events.

The Senior HPC Cluster Engineer will optimize GPU clusters, troubleshoot InfiniBand networks, integrate new hardware, enhance automation systems, and manage GPU devices in HPC environments.

Own deal desk and quote-to-cash processes, structure complex SaaS and usage-based deals, administer and optimize GTM systems (HubSpot/SFDC, CPQ), liaison between Sales, Legal, and Finance, and drive process improvements to accelerate deal velocity and ensure compliance.

As a System Engineer, you'll design, deploy, and maintain cloud systems for AI workloads, troubleshoot complex issues, and collaborate with teams to optimize performance.

Design, build, and maintain backend systems for metrics and monitoring, collaborate across teams, and debug production incidents.

The role involves administering and improving collaboration SaaS platforms, managing integrations, ensuring security compliance, and providing user support.

Design scalable GPU clusters, optimize performance for AI/ML workloads, collaborate with engineering teams, and ensure reliability across multiple data centers.