The role 

Nebius builds the infrastructure serious AI teams run on — GPU clusters, inference runtimes, agent development environments, data pipelines — all of it purpose-built for the most demanding AI workloads. What we are now building is the ecosystem function that ensures the best AI companies choose to build on us, integrate with us, and stay. 

The Director of Product, Ecosystem owns the external view of one or more Nebius platform layers. You will map who matters, engage the targets that count, prototype what a partnership actually looks like on our stack, and translate everything you learn into new platform capabilities and product decisions. 

You’re welcome to work remotely in the United States.

Your responsibilities will include: 

Strategy 

• Own the ecosystem map for your platform layer — who matters, what they build, where the gaps are relative to our platform strategy
• Define which companies to engage and why — a prioritized target list with a thesis behind every name
• Translate external landscape signals into concrete build vs. buy vs. partner recommendations for product and exec leadership 

Sourcing 

• Lead outbound engagement with founders, operators, and investors across your ecosystem domain
• Build peer-level relationships in the AI startup founders — the kind where people call you before they announce anything
• Identity partnership, integration, and M&A targets before they are obvious to the market 

Solutioning 

• Prototype integrations between partner products and the Nebius stack — fast, hands-on, and technically sound
• Scope partner architectures against our platform — how does this product actually work on our stack, where does it snap together, where does it break
• Define the technical narrative and reference architecture for each partnership
• Produce working proof-of-concepts that serve as the starting point for product creation — not a requirements doc, a working thing 

Internal 

• Work with ISV partners, SI teams, and field teams to scale solution adoption and drive revenue once a solution is ready
• This entire motion — inception, experimentation, prototyping — serves as a pipeline for new platform capabilities and product development
• Bring outside-in frontier signal into the company and help leadership make the right choices on where to invest
• Participate in platform planning as the external voice of the ecosystem 

Platform focus areas 

Depending on your background and mutual fit, you will own one or more of the following: 

• Agentic — agent frameworks, memory systems, tool integration, orchestration, guardrails
• Managed Inference — inference runtimes, model routing, optimization tooling, serving infrastructure
• IaaS / Managed Infrastructure — cloud-native integrations, GPU orchestration, sovereign cloud, enterprise infrastructure
• Data — vector databases, retrieval systems, data pipelines, labeling infrastructure, synthetic data 

We expect you to have: 

• 8+ years operating across product strategy, business development, and ecosystem or partnership development in AI or infrastructure
• Deep technical fluency in at least one of our platform layer domains — you understand the architecture, the players, and the dynamics from having been close to the work, not just reading about it
• Genuine relationships in the AI founders and VCs — people take your call because of who you are, not what company you are calling from
• Experience as a founder, early operator, or investor in AI or infrastructure — you understand how startups make decisions and what they actually need from a platform partner
• Comfort going hands-on — you can prototype an integration, scope a partner's architecture, and produce a working proof-of-concept without waiting for an engineer to do it for you
• Strong written and verbal communication — you can present a partnership thesis to a VP of Product and a Series A founder in the same week and be credible in both rooms
• Comfortable building without a playbook — you create the process, you do not wait for it 

It will be an added bonus if you have:  

• Founded or been an early operator at a company building in one of our platform layer domains
• Operated as an EIR or investing partner at a top-tier AI-focused VC fund
• Built an ecosystem or platform partnership function from scratch at a high-growth AI or infrastructure company
• Structured and closed technology partnerships through to LOI or acquisition
• Familiarity with NVIDIA's software stack, inference tooling, or agent development frameworks 

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $265k - $315k OTE (On Target Earnings) + Equity based on your experience.

The role

We are looking for a Recruiter to join our high-performing GTM Talent Acquisition team. This person will own hiring across key commercial functions (Sales, Marketing, Partnerships, etc.) and play a strategic role in building a world-class GTM team to drive our hyper-growth journey.

This role is ideal for a recruiter with a strong IT/tech background, deep understanding of the cloud and AI market, and a passion for business partnering and stakeholder influence. You’ll be expected to own and lead hiring for your assigned business area, act as a trusted advisor to senior stakeholders, and drive data-informed hiring strategies.

This role will be based remote in the US (East Coast)

Your responsibilities will include: 

• Own full-cycle recruitment for GTM roles across Sales, Marketing, Customer Experience, Partnerships, and other commercial functions.
• Act as a strategic talent partner to business leaders, hiring managers (HMs), and GTM executives—advising on market trends, talent availability, and hiring strategies.
• Build and manage robust talent pipelines for both immediate needs and long-term GTM scaling.
• Translate business objectives into effective recruitment plans, aligning hiring to growth and revenue goals.
• Use data, funnel analytics, and market insights to identify challenges, forecast risks, and influence hiring decisions.
• Take ownership of search strategy, including outreach, engagement, interviewing, offer negotiation, and closing.
• Facilitate high-quality candidate experiences with a DEI-first approach.
• Contribute to continuous improvement of processes, tools, and employer branding initiatives across GTM functions.

We expect you to have: 

• 6+ years of recruiting experience, with at least 3 years focused on GTM roles within high-growth tech or IT companies.
• Deep understanding of cloud infrastructure, AI, or enterprise tech markets—including knowledge of talent landscapes, competitive trends, and GTM structures.
• Demonstrated experience partnering with senior business stakeholders and influencing hiring decisions through data and market insights.
• Proven ability to own and scale a function or business unit, acting as the go-to talent expert for that area.
• Strong stakeholder management skills—collaborative, consultative, and solutions-oriented.
• Excellent communication skills—able to craft compelling narratives and present complex insights with clarity.
• Experience with ATS tools (e.g., Greenhouse) and sourcing platforms
• Passion for building and iterating in a fast-paced, ambiguous startup environment.

We offer competitive salaries, ranging from 95k - 179k OTE (On Target Earnings) based on your experience.

The role 

The Technical Director of Media and Entertainment, AI Infrastructure is a senior individual contributor who operates at the intersection of deep AI infrastructure engineering and the business of media and entertainment. You will report to the GM of Media & Entertainment and help define the technical foundation that makes Nebius the default infrastructure partner for the world's most demanding M&E workloads.

You will work alongside CTOs and engineering leaders at studio groups, VFX houses, gaming studios, agency holding companies, and generative AI model companies. Your role is not to pitch them; it is to build with them. You will translate their most complex infrastructure problems into engineered solutions, own the technical relationship with our most strategic ISV and cloud-native partners, and use what you learn in the field to directly influence the M&E product roadmap alongside Nebius's global Head of Product and Head of Engineering.

This is a ground-floor opportunity to define what AI-native infrastructure looks like for an industry in the middle of a fundamental transformation.

You are welcome to work remotely from the United States (SF Bay Area or NYC preferred) Travel expectations 10%-20% for executive meetings and key industry events. 

Your responsibilities will include: 

AI Infrastructure Architecture

• Own the Technical Blueprint: Personally architect the infrastructure solutions for our most strategic M&E partnerships , studio-scale content production pipelines, agency data consolidation plays, generative AI model deployments. These architectures must be engineered to survive real-world scale, not just pass a POC.
• The Physics to P&L Narrative: Fluently demonstrate to executive stakeholders how infrastructure decisions , data lake locality, storage tiering, inference optimization, directly impact their business model and operability.

Forensic Requirement Gathering

• Deconstruct the Bottleneck: Go beyond the stated problem to find the technical truth. Translate vague business goals (e.g., “We need lower rendering costs”) into precise engineering requirements (e.g., “We need to optimize the inference batch size on L40s to reduce cost-per-token by 30%”).
• Map the Transition: Identify exactly where a customer sits on the curve from legacy service bureau to AI-native tech platform and prescribe the specific infrastructure intervention needed to move them forward.

ISV & Partner Technical Strategy

• Build and Validate the Integration Layer: Identify, engage, and technically validate relationships with the most critical ISVs in the media and entertainment landscape, from rendering and VFX toolchains to generative AI platforms.
• Define the Standard: It is not enough to support these tools. You will define the reference architectures for how they run best on Nebius infrastructure, and work directly with ISV engineering teams to build and publish those standards.
• Decide What’s Worth Doing: In partnership with the GM, evaluate ISV and partner opportunities on their technical merit and strategic leverage , and be equally rigorous about what not to pursue.

Internal Technical Influence

• Shape the M&E Roadmap: Use forensic evidence from the field to prioritize and justify the M&E vertical roadmap. You will work directly with Nebius’s global Head of Product and Head of Engineering to translate partner and customer needs into product direction.
• Lead the M&E Product Summit: Chair a quarterly summit with Core Engineering leadership, using field evidence to drive roadmap decisions and maintain vertical momentum.

We expect you to have: 

• 12+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain.
• Executive Presence: Capable of commanding a room of engineers and presenting a layered technical roadmap to a C-Suite. You have operated at the top-to-top level , your counterparts are CTOs and VPs of Engineering.
• Builder Mentality: This is an IC role. You build things. You are not here to manage a team or delegate to an implementation function , you are here to architect and ship solutions alongside partners, and to build the assets (reference architectures, integration playbooks, technical frameworks) that make Nebius’s M&E infrastructure strategy defensible and scalable. You may have come from a startup, run your own company, or operated within a large org in a way that felt like building from zero.
• Product-Minded: Experience defining a platform strategy, not just executing tickets. You are comfortable telling a customer “No” when a request creates technical debt, and proposing a better alternative.
• Ambiguity Tolerance: You thrive in environments where requirements are evolving. You do not wait for a roadmap; you build it.
• Forensic Mindset: You are not satisfied with surface-level answers. You dig into the kernel, the logs, and the P&L to find the truth.

AI Infrastructure Expertise

• Mastery of the Stack: Expert-level, production-grade knowledge of GPU architectures (H100, L40s), Kubernetes orchestration including Soperator, high-performance and parallel file systems (e.g., Lustre, WEKA), data lake architecture, and networking constraints (InfiniBand/Ethernet).
• Inference Optimization: You understand the nuances of model serving , batch sizes, quantization, KV caching, latency tradeoffs , and can architect solutions for both massive throughput and real-time (sub-50ms) demands.

Domain Context: Media & Entertainment

Industry Fluency: You have operated within the M&E ecosystem and can speak to the infrastructure implications across the following sub-sectors:

• Gaming
• Multimodal Generative Models
• AdTech
• VFX / Content Production

Non-negotiable: Candidates without deep, production-grade working knowledge of GPU infrastructure and inference-based solutioning will not be considered. This is a hard requirement, not a preference.

AI Infrastructure Expertise 

• Mastery of the Stack: You must be an expert in the physics of AI infrastructure. This includes deep, production-grade knowledge of GPU architectures (H100 vs. L40s), Kubernetes orchestration (K8s), high-performance storage parallel file systems (e.g., Lustre, WEKA), and networking constraints (InfiniBand/Ethernet). 
• Inference Optimization: You understand the nuances of model serving—batch sizes, quantization, KV caching, and latency tradeoffs—and can architect solutions for both massive throughput and real-time (sub-50ms) demands. 

It will be an added bonus if you have:

• Hands-on experience with VFX pipelines, studio-scale content production workflows, or the cloud tooling that powers them , render farm management, distributed simulation, asset pipeline tooling. You understand how content gets made, moved, and transformed at scale, and what infrastructure makes that possible.
• Strategic Empathy: The ability to distinguish between customers who need raw bare-metal access and those who need managed endpoints, and the wisdom to prescribe the right path.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $295k - $365k OTE (On Target Earnings) + Equity based on your experience.

The role

Nebius operates large-scale, mission-critical infrastructure.  As a Senior/Staff Backend Software Engineer, you’ll design, build, and operate backend services that are reliable, scalable, and performant.

Your responsibilities will include:

• Design and implement distributed backend systems
• Own services end-to-end: architecture, development, testing, deployment, and production support
• Work closely with infrastructure, SRE, and GTM teams to deliver robust solutions
• Improve system performance, reliability, and observability
• Participate in technical design discussions and mentor other engineers
• Make pragmatic trade-offs between speed, quality, and long-term maintainability
• Contribute to architectural decisions that directly impact system scalability, cost efficiency, and long-term platform evolution

What we expect you to have:

• 5+ years of experience building backend systems in production
• Strong proficiency in Python (Go is a strong plus)
• Experience with distributed systems and high-throughput services
• Solid understanding of data structures, algorithms, and system design
• Hands-on experience with databases (SQL, MongoDB, PostgreSQL, NoSQL)
• Experience working in Linux environments
• Ability to debug complex production issues
• A track record of owning systems in production and making sound technical decisions under real-world constraints

It will be an added bonus if you have:

• Experience with cloud platforms or infrastructure-level systems
• Knowledge of Kubernetes, containers, or service meshes
• Background in performance optimization or low-latency systems
• Familiarity with observability tools (metrics, logging, tracing)

Key employee benefits: 

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 
• 401(k) plan: up to 4% company match with immediate vesting. 
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. 
• Remote work reimbursement: up to $85/month for mobile and internet. 
• Disability & life insurance: company-paid short-term, long-term and life insurance coverage. 

Join Nebius Today!

The role

Nebius builds the infrastructure serious AI teams run on — GPU clusters, inference runtimes, agent development environments, data pipelines — all of it purpose-built for the most demanding AI workloads. What we are now building is the ecosystem function that ensures the best AI companies choose to build on us, integrate with us, and stay. 

As a Forward Deployed Engineer, Ecosystem, you will sit at the intersection of solution architecture and hands-on engineering. You assess how partner products actually work on our stack, define the reference architecture for each integration, build the working prototype that proves it, and translate what you find into product requirements that shape what Nebius ships next. 

Your responsibilities will include:

Solutioning & Architecture 

• Design and prototype integrations between partner products and the Nebius platform — fast, hands-on, and technically sound
• Define reference architectures for partner integrations — not just what works, but how it should work at scale and in production
• Scope partner architectures against our platform — how does this product actually work on our stack, where does it snap together, where does it break
• Build production-quality proof-of-concepts across the AI stack including agentic pipelines, RAG architectures, inference optimization patterns, and multi-model orchestration
• Produce working proof-of-concepts that serve as the starting point for product creation — not a requirements doc, a working thing
• Maintain a library of reference architectures and integration patterns that internal product and engineering teams can build from 

Technical Partner Scoping 

• Work directly with partner engineering teams to scope, prototype, and progress integrations
• Assess partner architectures honestly — if the integration is painful, that is signal; if it snaps together in a weekend, that is also signal; report both
• Provide technical guidance to partners on how to maximize performance, reliability, and cost efficiency on Nebius infrastructure
• Produce technical scoping that gives your pod partner and internal teams a clear picture of integration feasibility, depth, and complexity 

Internal 

• Translate external integration findings into actionable product requirements for Nebius platform teams
• Work with ISV partners, SI teams, and field teams to scale solution adoption and drive revenue once a solution is ready
• Surface recurring architectural patterns and integration gaps to inform platform roadmap decisions
• Participate in platform planning as the technical voice of what you are seeing and building in the field 

Ecosystem Presence 

• Represent Nebius at hackathons, in open source communities, and at technical events
• Build in public — demos, reference architectures, and integrations that establish Nebius as the platform serious AI builders choose
• Stay current with the AI tooling ecosystem — you know what shipped last week and what it means for our stack 

Platform focus areas: 

Depending on your background and mutual fit, you will focus on one or more of the following: 

• Agentic — agent frameworks, memory systems, tool integration, orchestration, MCP, guardrails
• Managed Inference — inference runtimes, model serving, optimization tooling, speculative decoding, KV-cache routing
• IaaS / Managed Infrastructure — cloud-native integrations, GPU orchestration, enterprise platform connectors
• Data — vector databases, retrieval systems, RAG architectures, data pipeline integrations, synthetic data tooling 

We expect you to have:

• 6+ years of hands-on engineering experience in AI application development, ML systems, or AI infrastructure
• Deep working knowledge of the AI developer stack — LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, agentic pipelines — built through shipping, not reading
• Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent
• Strong Python programming skills and comfort prototyping end-to-end AI systems quickly
• Experience defining reference architectures and technical patterns — not just implementing them
• Proven ability to move from idea to working prototype fast — you have shipped meaningful things under time pressure and found it energizing
• Experience building integrations across APIs and developer platforms — you understand where the complexity actually lives
• Comfortable working across both external partner engineering teams and internal Nebius product and engineering teams simultaneously
• Strong technical communication — you can explain architecture decisions and integration findings to a founding CTO and a non-technical partner lead in the same day 

It will be an added bonus if you have: 

• Experience with inference frameworks and optimization: vLLM, SGLang, TensorRT-LLM, speculative decoding, quantization, batching, KV-cache routing
• Familiarity with NVIDIA's software stack: CUDA, TensorRT, NeMo, or equivalent
• Experience with multimodal AI models — vision-language, speech, or structured data
• Won or placed at major AI hackathons in the past 12 months
• Worked as a developer advocate, solutions engineer, or technical partner manager at a leading AI platform or developer tooling company
• Been an early engineer at a YC-backed AI startup — you built the product under real constraints
• Open source projects or public demos with meaningful community adoption
• Proficiency with DevOps tools: Docker, Kubernetes, Git 

Preferred technical stack: 

• Languages — Python
• ML frameworks — vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI / Anthropic SDKs
• Agentic frameworks — LangChain, LangGraph, CrewAI, AutoGen, smolagents, or equivalent
• Vector databases — Qdrant, Weaviate, Milvus, pgvector
• API and web frameworks — FastAPI, Flask
• DevOps — Kubernetes, Docker, Git
• Cloud platforms — AWS, GCP, Azure 

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $255K - $315K OTE (On-Target Earnings) and equity based on your experience, skills, and location.

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role

We are looking for a dynamic Supply Chain Manager to join our growing team in the United States. If you possess strong analytical and organizational skills, easy-going and keen for developing in an IT company we invite you to apply for this exciting opportunity.

Your responsibilities will include: 

• Processing local purchases: the whole circle starting from receiving the task with description and lead time to receiving the goods at the location (Europe and USA).
• Managing existing suppliers and extend the local suppliers database.
• Driving cross-functional collaboration: several teams are involved into the process (IT/engineer, purchase, finance, logistics).
• Creating dashboards and report on existing tasks to ensure all tasks are done in a timely manner within the deadline.

We expect you to have: 

• Experience in IT purchases or a related role with existing IT hardware suppliers network.
• Working proficiency in English.
• Strong analytical and problem-solving skills with a data-driven mindset.
• Good skills of time management, prioritizing tasks and meeting deadlines.
• Good communication skills.
• Advanced experience with Outlook and MS Office.

It will be an added bonus if you have:   

• Understanding of Netsuite.

The role

We are seeking a Compliance Due Diligence Specialist to further improve our Third-Party Risk Management (TPRM) and due diligence assessment framework and processes. This person will be responsible for day-to-day execution of due diligence assessments for various third parties.

This role is ideal for someone with a solid compliance due diligence foundation who wants to dig down to investigating third parties, contribute to process improvements, and help scale a modern compliance function in a fast-growing tech environment.

You will work closely with Ethics & Compliance, Legal, HR, and varrious other business and technology teams to ensure compliance is practical, efficient, and embedded into business operations.

Your responsibilities will include: 

• Conduct third-party due diligence assessments, including risk scoring, screening, verification, and documentation of third-party risk profiles
• Perform name screening against sanctions, PEP, adverse media, and related lists, and coordinate resolution of positive matches within established timelines
• Manage internal due diligence for medium and high-risk third parties, including desktop checks, review of ownership structures, beneficial owners, and site visits where feasible
• Coordinate external due diligence questionnaires for high-risk third parties, reviewing responses related to corporate structure, governance controls, human rights safeguards, ESG data, and compliance declarations
• Identify and escalate red flags, including sanctions exposure, bribery and corruption risk, modern slavery indicators, Zero Connections concerns, and geopolitical risks
• Maintain the Third-Party Risk Register, ensuring accurate documentation of risk scores, due diligence records, mitigation actions, and reassessment schedules
• Perform monthly compliance reconciliations, including sample-based quality checks of completed assessments, verification of scoring accuracy, and adherence to reassessment schedules
• Help identify training needs across the organization and support development and delivery of compliance training and awareness initiatives
• Contribute to process improvement and automation initiatives, making compliance processes more efficient and scalable

We expect you to have: 

• Relevant level of education and certifications (i.e. CFE, CAMS etc.)
• Minimum of 4 years experience in performing due diligence, KYC assessments or investigations
• Experience working within a corporate compliance program
• Experience in data center, AI or relevant technology companies
• Good understanding of core compliance topics (e.g. COI, ABAC, third-party risk, sanctions)
• Familiarity with compliance and third party risk assessment methodologies
• Strong organizational and analytical skills
• Hands-on and proactive, Interested in building and improving processes,
• Structured and detail-oriented, but pragmatic
• Strong communication skills and ability to work cross-functionally

It will be an added bonus if you have: 

• Experience with compliance tools or workflow systems
• Experience with Dow Jones RiskCenter or similar third-party risk management platforms
• Exposure to automation or process improvement initiatives
• Experience in a fast-paced, international / listed, or tech environment

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

Nebius is looking for a Head of Builder Growth to help scale our builder community to millions of developers and AI builders. 

This is a senior role focused on driving a step change in the builder funnel, not incremental improvement. The goal is to grow both the size of the community and the depth of engagement, and to make Nebius a home for AI builders.

This role owns growth across the full builder journey, from awareness and sign-up to activation, engagement, retention, and ongoing participation. It requires someone who can build scalable digital programs, run strong in-person motions, and work cross-functionally to turn community into a measurable growth engine.

A core part of the role is building hackathons into a repeatable growth system. That includes public hackathons as well as partner, customer, field, and internal hackathons. We see hackathons as one of the highest leverage ways to drive builder acquisition, product adoption, real projects, ecosystem engagement, and community momentum.

You will work closely with Demand Generation, Digital Marketing, Developer Relations, Developer Advocates, Product Marketing, Product, Startups, and ecosystem teams.

You are welcome to work remotely from the United States.

Your responsibilities will include: 

• Own builder growth across awareness, sign-up, activation, engagement, retention, and community participation
• Design and run growth programs that materially improve the builder funnel, not just top of funnel traffic
• Build hackathons into a repeatable growth engine across public, partner, customer, and internal programs
• Define the hackathon playbook, including format, goals, onboarding, technical readiness, support model, judging, follow-up, and conversion into ongoing community participation
• Turn workshops, launches, demos, office hours, events, hackathons, and community programs into repeatable growth loops
• Partner with Demand Generation and Digital Marketing on campaigns, lifecycle journeys, conversion, and builder acquisition
• Work with Developer Relations and Developer Advocates to connect content, community, product moments, and events into scalable growth motion
• Identify the highest leverage channels, partnerships, and programs to grow the builder ecosystem
• Lead strategies to increase visibility in AI generated answers and AI native discovery experiences for technical audiences
• Build dashboards, metrics, and operating cadence to understand what is working and improve quickly
• Help shape the systems, programs, and community experience needed to support a large scale, high engagement builder community
• Strong growth in builder sign-ups, activation, and engaged community members
• Hackathons become a repeatable engine for acquisition, product usage, ecosystem engagement, and community momentum
• Higher repeat participation across events, programs, and community surfaces
• Clear growth loops between content, events, product moments, and ongoing engagement
• Stronger visibility and discovery among developers across both traditional and AI native channels
• Nebius becomes a real home for AI builders, not just a series of one off campaigns

We expect you to have: 

• Senior operator who can move easily between strategy and execution
• Strong builder growth instincts with experience across experiments, funnels, and community led growth
• Ability to work cross-functionally and drive programs across marketing, product, developer relations, and ecosystem teams
• Comfort owning metrics, dashboards, testing, and operating rigor
• Experience building scalable community, event, or developer programs
• Strong judgment on what motivates technical builders and how to turn participation into durable engagement
• Low ego, high ownership, and willingness to build from the ground up
• Working knowledge of spoken and written English 

Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 225k - 315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Role Overview

The Regional Sales Manager – Digital AI Natives is responsible for leading, scaling, and delivering the AI Native revenue strategy across the Western United States. This leader manages a team of 8 quota-carrying Account Executives and is fully accountable for regional revenue attainment, pipeline generation, forecast accuracy, and disciplined execution of Nebius’ sales motion. 

This role operates as a regional business owner — balancing frontline deal leadership with strategic planning, cross-functional orchestration, and talent development. 

This is a hands-on leadership position for a high-caliber sales leader who thrives in technically complex, high-growth environments and can drive consistent execution across startup and enterprise AI-native customers. The role partners closely with Solutions Engineering, Marketing, Customer Success, Revenue Operations, and Executive Leadership to ensure coordinated regional performance. 

Key Responsibilities

Sales Leadership & Execution 

• Lead, coach, and develop a team of 8 quota-carrying Account Executives 

• Own regional revenue targets, pipeline performance, and forecast accuracy 

• Drive consistent execution of Nebius’ sales process across startup and enterprise segments 

• Serve as an escalation point for complex deals, negotiations, and executive-level customer conversations 

Regional Strategy & Growth 

• Define and execute the West Region go-to-market strategy aligned with company objectives 

• Identify priority verticals, strategic accounts, and partner opportunities within the AI ecosystem 

• Collaborate with Marketing on regional demand generation and field initiatives 

• Provide structured feedback to Product and Leadership on customer needs, competitive landscape, and market trends 

Cross-Functional Collaboration 

• Partner closely with Solutions Engineering to deliver technically credible, high-impact sales engagements 

• Coordinate with Customer Success to ensure strong handoffs, customer retention, and expansion 

• Work with Revenue Operations on territory planning, pipeline inspection, forecasting, and performance metrics 

Team Development & Culture 

• Recruit, onboard, and ramp top-performing sales talent as the region scales 

• Conduct regular 1:1s, deal reviews, pipeline inspections, and coaching sessions 

• Foster a culture of accountability, execution excellence, and continuous learning 

Key Qualifications & Experience

Must-have requirements: 

• 8+ years of B2B technology sales experience, including 3+ years managing quota-carrying sales teams 

• Proven track record of leading regional or multi-rep teams in high-growth environments 

• Experience selling complex, technical solutions (e.g., cloud infrastructure, AI/ML platforms, data platforms, developer tools) 

• Demonstrated success meeting or exceeding revenue targets 

• Strong forecasting discipline and experience operating in fast-paced sales organizations 

• Ability to engage credibly with technical buyers and executive stakeholders 

Preferred qualifications: 

• Experience in AI, ML platforms, cloud infrastructure, or high-performance computing 

• Background selling to AI startups, scale-ups, or enterprise innovation teams 

• Experience scaling a region or building a sales team from an early or growth-stage GTM motion 

• Prior exposure to remote-first or distributed sales teams 

Competencies & Behavioral Traits

• Data-Driven Leadership & Analytical Rigor 
  Strong analytical skills with the ability to interpret pipeline data, forecast trends, territory performance, and conversion metrics to drive informed decision-making and accurate forecasting. 

• Ownership Mentality & Proactive Problem-Solving 
  Demonstrates a high level of accountability for regional performance. Anticipates challenges, removes obstacles for the team, and drives solutions independently in a fast-paced environment. 

• Cross-Functional Collaboration & Cultural Agility 
  Effectively partners with Solutions Engineering, Marketing, Customer Success, RevOps, and Leadership. Comfortable operating within distributed and cross-cultural teams in a remote-first environment. 

• Strong Execution & Deal Leadership 
  Excellent project management capabilities, with the ability to manage complex, multi-stakeholder sales cycles. Skilled in negotiation strategy and supporting AEs through structured deal progression and closing. 

• Customer-Centric Sales Leadership 
  Deep commitment to understanding customer business objectives and technical requirements. Coaches team members to tailor solutions to AI-native customer needs and deliver long-term value. 

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 396k to 458k (On-Target Earnings) and equity based on your experience, skills, and location

The role

Nebius operates large-scale, mission-critical bare-metal infrastructure. As a Software Engineer (Python), you will design and build systems that provision, configure, test, and manage physical hardware at scale. Your work will sit close to the metal—interfacing directly with servers, networks, and management controllers—while supporting highly automated, reliable infrastructure operations.

You will collaborate closely with hardware, networking, and data center operations teams to ensure our platforms are robust, scalable, and production ready.

Your responsibilities will include:

• Design and develop backend services and automation in Python
• Build and maintain systems for hardware provisioning, testing, and lifecycle management
• Develop software that runs directly on bare-metal environments
• Integrate with Linux systems, using Bash and low-level tooling where needed
• Implement and maintain CI/CD pipelines for infrastructure-focused software
• Work with networking services including IPv4/IPv6, DHCP, DNS, network boot, and server boot workflows
• Interface with BMC controllers and management protocols (IPMI-style protocols, HTTP-based standards)
• Enable reliable hardware interaction and automation across large fleets
• Support ARM64 / ARM64EC architectures
• Design and integrate NoSQL data stores for system state and orchestration data
• Write clear documentation and contribute to operational excellence

What we expect you to have:

• Strong professional experience as a software engineer, with a focus on Python
• Solid experience with Linux systems and shell scripting
• Hands-on experience working with bare-metal servers or low-level infrastructure Strong understanding of networking fundamentals (IPv4/IPv6, DHCP, DNS, PXE / network boot)
• Experience interacting with hardware management interfaces (BMC, IPMI-like protocols, HTTP APIs)
• Familiarity with CI/CD systems and production deployment workflows
• Experience designing or working with NoSQL databases
• Ability to debug complex issues spanning software, hardware, and networks
• Strong ownership mindset and clear communication skills in a distributed team

It will be an added bonus if you have:

• Experience operating or building systems for large-scale infrastructure
• Familiarity with ARM-based platforms in production environments
• Background in hardware testing, validation, or factory provisioning
• Experience with infrastructure automation or internal platform tooling
• Contributions to open-source or internal systems software projects

Working conditions:

• Fully remote position (United States)
• Collaboration with globally distributed engineering and operations teams

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families
• 401(k) plan: up to 4% company match with immediate vesting
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
• Remote work reimbursement: up to $85/month for mobile and internet
• Disability & life insurance: company-paid short-term, long-term, and life insurance coverage

Compensation

• We offer competitive salaries, ranging from $150k- $210k base equity + quarterly performance bonuses.

Join Nebius today and help build the software that powers the next generation of
AI infrastructure.

• 5+ years of experience in technical recruitment, with a strong focus on senior-level hiring.
• 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.

The role 

We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.

In AI infrastructure, PoC success does not always guarantee production success. This role exists to ensure that what we commit to with customers is scalable, efficient, and aligned with platform strategy.

We are looking for a Presales Architect to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.

You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:

• Revenue quality
• Engineering focus
• Product evolution
• Customer trust at scale

You’re welcome to work remotely from the United States.

Your responsibilities will include: 

Strategic Technical Discovery

• Lead deep technical discovery with engineering teams and technical founders
• Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies
• Translate customer ambition into production-feasible architecture.
• Identify hidden technical risks early

Commercial Acceleration

• Partner tightly with Sales on strategic deals
• Influence deal strategy through architectural clarity
• Prevent misaligned commitments before engineering allocation
• Increase PoC-to-production conversion by ensuring technical realism

PoC Architecture & Validation

•  Define measurable success criteria (latency, TTFT, throughput, cost envelope)
• Classify workload complexity and required optimization depth
• Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)
• Drive structured Go / No-Go decisions
• Prevent uncontrolled customization or hidden R&D

Pattern Recognition & Platform Leverage

• Identify recurring configuration patterns across customers
• Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)
• Surface structured insights to Product and Engineering
• Help evolve platform capabilities based on real workload data

We expect you to have: 

• Deep understanding of AI inference systems and GPU-backed infrastructure
• Experience with LLM workloads and performance-sensitive environments
• Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).
• Ability to reason about latency, throughput, cost, and architecture tradeoffs
• Strong customer presence with engineering-first organizations
• Comfort challenging assumptions and pushing back constructively
• Commercial awareness – you understand that engineering time is a strategic resource

Preferred Technical Stack

• Programming Languages– Python
• Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs
• Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
• API and Web Frameworks– FastAPI, Flask
• MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
• Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)

What Success Looks Like

• Strategic deals are technically sound before engineering engagement
• PoCs are clearly scoped and economically justified
• Engineering capacity is allocated predictably
• Conversion to production improves
• Customers view you as a trusted architectural advisor

Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $152k - 228k base + RSU's and performance bonus's.

The team 

Nebius is building a world-class commercial organization to match the scale of our infrastructure platform. Our GTM leadership team operates with high trust, direct access to Product and Engineering, and the mandate to define how Nebius competes and wins in the enterprise. You will join a senior leadership bench that values clarity, accountability, and speed — with fewer layers and more impact than the hyperscalers. 

The role 

Nebius is seeking an Enterprise Sales Leader to build and scale our industry go-to-market across priority verticals including Financial Services, Healthcare & Life Sciences, Manufacturing, Media & Entertainment, Automotive, and Energy. 

This leader will: 

• Build a verticalized enterprise sales motion 

• Lead a team of Enterprise AEs aligned to industry segments 

• Drive repeatable, multi-year AI infrastructure deals 

• Operationalize a partner-led GTM model anchored in NVIDIA and strategic SIs 

Success in this role requires combining vertical expertise, ecosystem orchestration, and enterprise deal execution to establish Nebius as the AI infrastructure platform of choice. 

Success will be measured not only by direct revenue, but by partner-influenced pipeline, multi-year capacity commitments, and lighthouse customer acquisition. 

You are welcome to work remotely from the US. 

Partner & NVIDIA Motion 

This role will lead a partner-centric enterprise GTM model: 

• Own joint go-to-market with NVIDIA field teams across priority verticals 

• Build and scale co-sell motions with SIs and channel partners (Accenture, Deloitte, Slalom, CDW, WWT, etc.) 

• Enable ISVs to embed Nebius into enterprise workflows and solutions 

• Drive partner-sourced and partner-influenced pipeline as a core KPI 

• Establish joint value propositions combining infrastructure + software + services 

Your responsibilities will include: 

• Define and execute vertical-specific GTM strategies aligned to NVIDIA’s top enterprise markets. 

• Hire, develop, and lead a team of Enterprise Account Executives focused on industry specialization — setting performance standards, coaching deal execution, and driving vertical expertise. 

• Own revenue targets and ARR growth across assigned verticals. 

• Develop named account strategies within priority enterprise segments. 

• Personally engage in complex, multi-million-dollar GPU infrastructure deals — connecting infrastructure decisions to vertical-specific business outcomes. 

• Build executive-level relationships across CIO, CTO, Chief Data, and Line-of-Business leaders. 

• Collaborate closely with NVIDIA field teams to drive joint account planning and pipeline development. 

• Establish forecasting rigor, pipeline discipline, and enterprise sales standards across the vertical portfolio. 

• Partner cross-functionally with CSA, Product, Marketing, Capacity Planning, and Partnerships to align resources and deliver differentiated value. 

• Drive land-and-expand motions across AI training, inference, and production AI workloads. 

• Evangelize Nebius’s NVIDIA-based GPU platform (H100, H200, B200, GB200 NVL72, and beyond) within vertical-specific use cases. 

• Build vertical-specific solution plays (RAG, training, inference, MLOps) with partners 

• Drive partner-led access to enterprise buying centers (CIO, CDAO, CISO, ML teams) 

• Scale 1:few and 1:many partner GTM programs (not just direct selling) 

• Establish lighthouse customers per vertical 

We expect you to have: 

• 10+ years of enterprise infrastructure or cloud sales experience, with a proven track record in one or more large enterprise verticals. 

• 5+ years of leadership experience managing enterprise sales teams with vertical or industry specialization. 

• Proven success closing $5M–$50M+ infrastructure or platform deals within regulated or complex industry segments. 

• Strong understanding of vertical-specific AI use cases, regulatory environments, and enterprise buying cycles. 

• Experience co-selling with strategic ecosystem partners (e.g., NVIDIA, OEMs, SIs) and navigating partner-driven motions. 

• Builder mindset — you’ve created vertical-focused GTM playbooks, coverage models, and scalable sales motions where none existed. 

• Demonstrated ability to build and scale vertical-focused sales teams within high-growth companies. 

• High energy, ownership mentality, and consistent overachievement against targets. 

• Experience co-selling with NVIDIA and/or large SIs in enterprise environments 

• Proven ability to drive partner-influenced enterprise revenue at scale 

• Deep understanding of enterprise procurement + partner-driven buying cycles 

It will be an added bonus if you have: 

• Direct experience working with NVIDIA field teams or ecosystem partners on enterprise sales motions. 

• Experience selling AI/ML infrastructure into regulated or highly complex industries (e.g., FSI, Healthcare, Energy). 

• Background in hyperscaler, neo-cloud, or GPU-first environments. 

• Established executive network within one or more priority enterprise verticals. 

• Experience structuring multi-year infrastructure and capacity commitments. 

• Prior leadership at a hyperscaler or neo-cloud (e.g., AWS, Azure, GCP, CoreWeave, Lambda). 

Key Employee Benefits 

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 

• 401(k) Plan: Up to 4% company match with immediate vesting. 

• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. 

• Remote Work Reimbursement: Up to $85/month for mobile and internet. 

• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. 

Compensation 

We offer competitive salaries in the 458K - 550K range + equity

Don’t just work in tech. Shape it. If you’re driven to define how the world builds with AI, we want to hear from you. 

The role

Nebius is looking for a Site Reliability Engineer in Hardware Infrastructure team. You’re welcome to work in our office in Amsterdam.

Hardware Infrastructure team designs, develops and supports systems involved in the data-centers lifecycle:

• Serving functional and load testing system.
• Monitoring of engineering equipment located in our data centers (power supply, air and water cooling, etc.)
• Monitoring of IT equipment: racks, servers, JBODs, JBOGs, power shelves, network devices, etc.
• Asset tracking.
• Hardware repairs tasks tracking.
• Server production.

In this position, your responsibility will be to:

• Ensure fault-tolerance, scale and uninterrupted operations for our services.
• Use cutting-edge technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have: 

• Proficiency in Linux systems, with expertise in Python and Bash scripting for automation.
• Demonstrated ability to troubleshoot complex system issues, including hardware, software and networking problems.
• Strong analytical and problem-solving skills, with a focus on optimizing system performance.
• Working proficiency in English.

It would be an added bonus if you had:

• Desire to be involved in backend development.
• Experience designing, developing and running high-load distributed systems.

Working conditions:

• Primarily remote 
• Occasional travel to data centers required, especially if not located near one
• Collaboration with globally distributed engineering and operations teams

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families
• 401(k) plan: up to 4% company match with immediate vesting
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
• Remote work reimbursement: up to $85/month for mobile and internet
• Disability & life insurance: company-paid short-term, long-term, and life insurance coverage

Compensation

• We offer competitive salaries, ranging from $130k- $180k base + quarterly performance bonuses.

Join Nebius and help operate the systems that power next-generation AI
infrastructure.

The Role 

The Data Center Design Lead will partner with internal infrastructure, hardware, and operations teams, as well as external consultants, engineers, and construction firms, to deliver designs that support rapid deployment and long-term operational excellence.

This role leads internal electrical and mechanical engineers, oversees third-party design partners, and ensures all designs meet Nebius standards, local regulations, and operational requirements.  

You will be responsible for both hands-on design oversight and technical leadership, serving as the final authority on data center design decisions. 

Location: Remote, US 

Responsibilities: 

Design Leadership
 • Own the end-to-end design process for new data center builds and expansions.
 • Translate business, hardware, and workload requirements into facility design specifications (power, cooling, network, and floor space).
 • Ensure designs optimize density, reliability, and efficiency while supporting rapid scalability.
 • Coordinate with mechanical, electrical, and plumbing (MEP) engineers and consultants to deliver detailed designs.

Power & Cooling Strategy
 • Define requirements for high-density rack power, redundancy and UPS configurations.
 • Lead cooling design trade-offs (air, liquid, immersion) to meet GPU cluster needs.
 • Evaluate and integrate renewable energy and sustainability initiatives.

Network & Infrastructure Integration
 • Work closely with network and hardware teams to ensure physical layout supports cabling, interconnects, and future expansion.
 • Plan for modular design that enables incremental GPU cluster growth.

Compliance & Standards
 • Ensure all designs comply with international and regional standards (e.g., Uptime Institute Tier guidelines, local building codes).
 • Incorporate safety, fire suppression, and physical security measures.
 • Define documentation and as-built standards for ongoing operations.

Cross-Functional Collaboration
  • Coordinate with construction project managers and external contractors during build phases.
 • Provide design oversight during commissioning and handover to operations.

Continuous Improvement
 • Evaluate emerging GPU data center technologies and integrate innovative solutions.
 • Develop playbooks and design templates for repeatable, fast deployments.
 • Benchmark efficiency (PUE, WUE) and reliability across sites to drive improvement.

Requirements: 

• 12+ years of experience designing data centers. 

• Direct experience with electrical, mechanical, and architectural DC design. 

• Degree in Electrical Engineering, Mechanical Engineering, or Architecture (or equivalent). 

• Proven leadership experience managing technical design teams. 

• Strong stakeholder communication skills across construction, operations, and external partners. 

• Experience designing high-density data centers, including: Air-cooled environments & Liquid-cooled technologies 

Nice to Haves: 

• Experience designing data centers for hyperscalers or neoclouds  

• Prior experience supporting GPU dense or AI infrastructure environments. 

• Health insurance: 100% company-paid medical, dental and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

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. 

Customer Experience:

The Customer Experience Team at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused professional to join our team as a AI/ML Specialist Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work remotely from the US or Canada.

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5 - 10 + years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 225k - 315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

Customer experience:

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure.

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work remotely from the United States or Canada.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 7+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG
• Understanding of compliance standards: SOC 2, HIPAA, GDPR, FedRAMP

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 225k - 315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

The role:
We are looking for an Optical & IP Transport Engineer (DWDM/IP) to own the design, deployment, and operation of large-scale optical transport networks supporting high-density, latency-sensitive infrastructure. You will work at the intersection of DWDM systems and IP/MPLS layers, ensuring reliable packet delivery across long-haul and metro fiber networks.

This role requires deep understanding of optical physics and packet transport, with hands-on responsibility for production networks. You will be involved in end-to-end lifecycle management—from planning and turn-up to troubleshooting complex cross-layer issues impacting performance and availability. The position demands strong diagnostic capabilities, automation-driven operations, and the ability to operate close to the hardware in mission-critical environments.

Your responsibilities will include:

• Design, deploy, and operate DWDM-based transport networks across long-haul and metro environments

• Perform wavelength provisioning, optical power tuning, and amplification design (EDFA/Raman) to ensure optimal link performance

• Troubleshoot cross-layer issues spanning optical transport and IP/MPLS networks, including packet loss, latency, and signal degradation

• Execute fiber characterization and fault isolation using OTDR, OSA, and BERT tools across various span distances

• Work directly with production platforms (Ciena, Infinera, ADVA) for provisioning, upgrades, and incident resolution

• Develop and maintain Python-based automation for optical health checks, telemetry ingestion, and inventory synchronization

• Participate in network expansions and hardware deployments, including on-site support for critical rollouts and audits

• Collaborate with IP engineering teams to ensure alignment between optical transport and routing layers

• Drive root cause analysis and implement preventive measures to improve fleet-wide reliability and performance

What we expect you to have:

• Strong expertise in DWDM systems, including wavelength routing, optical amplification (EDFA/Raman), and dispersion management in long-haul networks

• Solid understanding of IP/MPLS fundamentals, including routing protocols such as BGP, OSPF, or IS-IS, and MPLS signaling

• Hands-on experience with production optical platforms such as Ciena (6500/Waveserver), Infinera, or ADVA

• Proficiency in Python for automation of operational workflows and network validation tasks

• Experience using optical diagnostic tools (OTDR, OSA, BERT) for fiber analysis and troubleshooting

• Ability to debug packet-over-optical issues across layers with precision and speed

• Willingness to travel to data center and network sites across the US/EU for deployments and audits

It will be an added bonus if you have:

• Experience with Linux-based network management systems and streaming telemetry for optical monitoring

• Background in network modernization projects, including migrations from 100G to 400G/800G architectures

• Familiarity with Segment Routing (SR-MPLS or SRv6) and its interaction with optical transport performance

Working conditions:

• Remote role based in the United States

• Travel required for on-site deployments and physical-layer audits

Key employee benefits:

• Comprehensive health insurance (medical, dental, vision)

• 401(k) plan with company contribution

• Generous paid time off and sick leave

• Paid parental leave

• Flexible working hours

• Professional development support

Compensation:

• Base salary: $125,000 – $180,000 per year

• Performance-based bonus included

The role

The Expeditor is a hands-on role that is responsible for smooth and timely logistics flow of OFCI materials, goods, and information within Nebius supply chain and production process. The expeditor will coordinate delivery of goods between suppliers, vendors, and internal departments, preventing delays and maintaining project schedules. The successful candidate for this position will have hands-on experience in the logistics space with shipping owner furnished critical components for infrastructure. 

Your responsibilities will include: 

• Monitor and track orders, shipments, and production schedules. 
• Follow up with suppliers and vendors to ensure timely delivery of materials.
• Identify and resolve delays or supply chain issues. 
• Coordinate with purchasing, warehouse, and production teams. 
• Maintain accurate records of orders, deliveries, and inventory status. 
• Expedite urgent orders and prioritize critical shipments. 
• Communicate status updates to management and stakeholders. 
• Ensure compliance with company policies and delivery requirements.
• Review and approve supplier invoices and payment applications.

We expect you to have: 

• Diploma or degree in Logistics, Supply Chain Management, Business, or related experience
• Experience in expediting, procurement, or logistics (preferred) 
• Strong organizational and time-management skills 
• Excellent communication and coordination abilities 
• Problem-solving and decision-making skills 
• Attention to detail and ability to multitask 
• Proficiency in MS Office and ERP/logistics systems Preferred qualifications
• Experience with international procurement and multi-currency contracts
• Familiarity with standard contract forms (FIDIC or equivalent)
• Exposure to large-scale, owner-led or EPCM project models

It will be an added bonus if you have: 

• In Depth knowledge of local legislation / standards re movement of goods / equipment in North America 
• Ability to work under pressure and meet deadlines 
• Negotiation and follow-up skills 
• Analytical thinking 
• Team collaboration 
• Customer and service orientation

We offer competitive salaries, ranging from 119k - 179k OTE (On Target Earnings) based on your experience.

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.

Customer experience:

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a Specialist HPC Infrastructure Solutions Architect to design, build, and optimize next-generation high-performance computing (HPC) platforms for AI, simulation, and large-scale data processing workloads. The ideal candidate combines deep knowledge of cloud-native architecture, Kubernetes orchestration, networking, and HPC system design with hands-on experience implementing NVIDIA GPU-based compute environments and MLOps toolchains. This role sits at the intersection of infrastructure engineering, accelerated computing, and AI systems design, shaping the foundation for high-throughput, low-latency distributed workloads in cloud environment.

You’re welcome to work remotely from the United States or Canada.

Your responsibilities will include:

• Architect and implement scalable HPC clusters optimized for AI, simulation, and distributed training, leveraging container orchestration frameworks and schedulers (e.g., Kubernetes, Slurm).
• Design and integrate GPU-accelerated compute infrastructures featuring NVIDIA Hopper, Blackwell architectures, NVLink/NVSwitch, and InfiniBand/RoCE Interconnects.
• Deploy, and manage GPU Operator and Network Operator stacks for automated lifecycle management of GPU and high-speed networking components.
• Design and validate cloud HPC environments, focusing on low-latency, high-bandwidth networking, multi-GPU scaling, and efficient workload scheduling.
• Lead reference architectures for AI/ML model training, data pipelines, and MLOps integrations using modern observability and CI/CD tooling.
• Collaborate with hardware vendors (e.g., NVIDIA) and cloud providers to evaluate and optimize emerging HPC and GPU technologies.
• Benchmark system performance, identify bottlenecks, and tune resource utilization across compute, network, and storage tiers.
• Provide expert-level technical guidance to customers, internal teams, and partners on HPC architecture patterns, operational excellence reviews and customer engagements

We expect you to have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (Ph.D. a plus)
• 3+ years of hands-on experience architecting HPC or large-scale GPU clusters.
• Expertise in Linux systems, Kubernetes, container runtimes (containers, CRI-O, Docker), and related CI/CD practices.
• Strong understanding of HPC networking protocols and RDMA stacks (InfiniBand, NVLink/NVSwitch)
• Deep understanding of storage and I/O optimization for large datasets (Ceph, Lustre, NFS, GPUDirect Storage)
• Familiarity with Terraform, Ansible, Helm, and GitOps workflows.
• Strong scripting skills in Python or Bash for automation and tool integration.
• Excellent communication and documentation skills; ability to lead design
• reviews and customer engagements

It will be an added bonus if you have:

• Proficient with NVIDIA GPU ecosystem: GPU Operator, MIG, DCGM, NCCL, Nsight, and CUDA stack management.
• Experience designing or managing AI/ML pipelines via MLflow, Kubeflow, NeMo, or similar frameworks.
• Experience with cloud-native HPC offerings (Slurm, LFS, PBS, etc.).
• Background in designing multi-tenant GPU infrastructures or AI training farms.
• Exposure to distributed ML frameworks (PyTorch DDP, DeepSpeed, Megatron).
• Knowledge of observability for HPC (Prometheus, DCGM Exporter, Grafana, NVIDIA NGC monitoring tools)
• Contribution to open-source HPC/CUDA/Kubernetes projects is a strong plus

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 225k - 315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

Customer Experience:

The Customer Experience Team at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work remotely from the US or Canada.

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5 - 10 + years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 225k - 315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

The Role

Nebius is hiring a Senior Software Engineer to design, build, and own backend systems that power metrics, monitor large-scale infrastructure, and develop a comprehensive infrastructure maintenance platform. This role requires strong production experience, sound system design judgment, and the ability to operate and improve critical services.

Your responsibilities will include:

• Design and build services and agents that provide deep visibility into large-scale server fleets and data center engineering systems
• Evolve metrics, aggregation, and alerting pipelines, with a focus on signal quality and reliability
• Design and operate maintenance and remediation systems that enable safe, predictable fleet-wide changes and keep infrastructure healthy
• Investigate production incidents hands-on, including on-host Linux debugging, and drive root-cause fixes
• Collaborate closely with hardware, networking, and data center operations teams to improve reliability

What we expect you to have:

• 5+ years of professional software engineering experience
• Strong production experience with Python and Go, or the ability to ramp up quickly
• Solid Linux fundamentals and comfort debugging live systems
• Ability to write reliable, maintainable code and dig into complex, ambiguous problems
• Experience building and operating production systems at scale

It will be an added bonus if you have:

• Ubuntu experience, including internal tooling and packaging workflows (e.g., building Debian packages)
• CCNA (Cisco Certified Network Associate) or equivalent networking experience

Key employee benefits: 

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 
• 401(k) plan: up to 4% company match with immediate vesting. 
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. 
• Remote work reimbursement: up to $85/month for mobile and internet. 
• Disability & life insurance: company-paid short-term, long-term and life insurance coverage. 

Compensation

• We offer competitive salaries, ranging from $130k- $170k base + quarterly performance bonuses.

Join Nebius Today!

The role

We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.

Your responsibilities will include: 

• Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals.
• Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models.
• Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization.
• Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap.
• Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency.

We expect you to have: 

• 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI.
• Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
  • Prompt engineering and LLM pipeline development, including evaluation.
  • Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent.
  • Vector databases and RAG implementation patterns.
  • Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models.
• Strong Python programming skills.
• Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences.

It will be an added bonus if you have: 

• Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers).
• Familiarity with inference optimization techniques such as quantization, batching, caching, and routing.
• Work with multimodal AI models (e.g., vision-language, speech).
• Proficiency with DevOps tools (Docker, Kubernetes).
• Contributions to open-source ML/AI projects.

Preferred tooling:

• Programming Languages– Python
• ML Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
• Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
• API and Web Frameworks– FastAPI, Flask
• MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
• Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $225k - $315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

The team 

Nebius is building a world-class commercial organization to match the scale of our infrastructure platform. Our GTM leadership team operates with high trust, direct access to Product and Engineering, and the mandate to define how Nebius competes and wins in the enterprise. You will join a senior leadership bench that values clarity, accountability, and speed — with fewer layers and more impact than the hyperscalers. 

The role 

Nebius is seeking a Strategic Sales Leader to build and lead our highest-impact go-to-market motion: Frontier AI Labs, hyperscalers, and the Top 25 global enterprise accounts. 

This role owns the most critical revenue outcomes in the Americas — including a small number of multi-hundred-million to billion-dollar infrastructure opportunities that will define Nebius’s trajectory. 

This leader will: 

• Act as the executive deal captain on the company’s largest and most complex pursuits 

• Build and lead a team of Strategic AEs 

• Orchestrate NVIDIA, ISV, and channel partners as a core part of the selling motion 

• Establish Nebius as the default AI infrastructure partner for the most demanding AI workloads 

This is not a traditional sales leadership role — it is a company-building role at the center of our most strategic deals and partnerships. 

Success will be measured not only by direct revenue, but by partner-influenced pipeline, multi-year capacity commitments, and lighthouse customer acquisition. 

Partner & NVIDIA Motion  

Own and operationalize a partner-led growth model across strategic accounts: 

• Build and execute joint account plans with NVIDIA (field, enterprise, and executive levels) 

• Co-develop and close deals alongside NVIDIA, OEMs, and strategic SIs (e.g., Accenture, Deloitte, WWT) 

• Activate ISV and platform partners to embed Nebius into customer architectures 

• Lead co-sell motions that combine GPU infrastructure, software ecosystem, and services 

• Drive partner-influenced pipeline as a measurable revenue source, not an overlay 

Your responsibilities will include: 

• Define and execute the strategic sales motion for Frontier AI Labs and Top 25 global enterprise accounts. 

• Hire, develop, and lead a team of Strategic Account Executives — setting performance standards, coaching on complex deal cycles, and building a culture of ownership and accountability. 

• Own revenue targets across the strategic account portfolio, with full accountability for multi-year ARR growth. 

• Personally engage (ie hands-on) in executive-level, multi-million-dollar infrastructure negotiations — leading with business value and connecting P&L impact to architectural trade-offs. 

• Build and execute multi-threaded account strategies across technical, procurement, and C-suite stakeholders. 

• Establish forecasting rigor, pipeline discipline, and enterprise sales standards that scale with the organization. 

• Develop long-term land-and-expand strategies within key accounts — positioning Nebius as a strategic infrastructure partner, not a vendor. 

• Partner cross-functionally with CSA, Capacity Planning, Product, Marketing, and Partnerships to align resources against the highest-value opportunities. 

• Evangelize Nebius’s NVIDIA-based GPU platform (H100, H200, B200, GB200 NVL72, and beyond) for training, inference, and production AI workloads. 

• Represent Nebius in high-level customer engagements, executive briefings, and industry forums. 

• Lead a small number of “must-win” lighthouse deals with full executive visibility 

• Align capacity planning and supply strategy with deal execution (critical in your world) 

• Drive joint NVIDIA + Nebius executive engagement cadence across top accounts 

• Build repeatable strategic pursuit playbooks (POC → scale → multi-year commit) 

We expect you to have: 

• 10+ years of enterprise cloud or infrastructure sales experience, with a proven track record in AI, GPU, or HPC environments. 

• 5+ years of leadership experience managing Strategic or Enterprise sales teams in high-growth or enterprise technology companies. 

• Demonstrated success closing large, multi-million-dollar infrastructure or platform agreements with Fortune 500 organizations, AI labs, or hyperscale technology companies. 

• Strong executive presence — you reframe C-level priorities, shape strategic direction, and build trusted relationships across technical and business leadership. 

• Deep commercial rigor — data-driven forecasting, cost model translation, opex vs. capex framing, and competitive displacement logic. 

• Builder mindset — you’ve built sales teams, defined segment strategies, and created scalable GTM motions where none existed. 

• Experience multi-threading complex strategic accounts across engineering, procurement, and executive stakeholders. 

• High energy, ownership mentality, and consistent overachievement against targets. 

• Proven experience co-selling with NVIDIA or equivalent ecosystem partners on large infrastructure deals 

• Track record of closing $25M–$100M+ ARR or $100M+ TCV strategic agreements 

• Experience navigating capacity-constrained environments and supply-driven sales cycles 

It will be an added bonus if you have: 

• Direct experience selling to Frontier AI Labs or AI-native enterprises. 

• Background in GPU infrastructure, high-performance compute, or AI model training environments. 

• Experience building enterprise GTM strategy from early-stage or high-growth companies. 

• Established executive network within top AI and enterprise software organizations. 

• Experience partnering with storage, networking, and ecosystem providers to deliver end-to-end solutions. 

• Prior leadership at a hyperscaler or neo-cloud (e.g., AWS, Azure, GCP, CoreWeave, Lambda). 

Key Employee Benefits 

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 

• 401(k) Plan: Up to 4% company match with immediate vesting. 

• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. 

• Remote Work Reimbursement: Up to $85/month for mobile and internet. 

• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. 

Compensation 

We offer competitive salaries, ranging from 458K - 550K OTE – Accelerators for overachievement and equity participation available. 

The role

We're looking for a Technical Account Manager (TAM) to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure.

This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments.

This role is NOT:

• A sales role (though you will support expansion through value)
• A pure support role (you won’t just react to tickets)
• A solution architect role (you won’t design systems from scratch)

You’re welcome to work remotely from the United States.

Your responsibilities will include: 

• Own the production journey
  • Lead the transition from PoC to production
  • Ensure customer workloads are deployed, stable, and scalable
  • Drive time-to-production and time-to-value
  
  
• Ensure technical success in production
  • Understand customer architectures and use cases
  • Monitor and improve:
  o performance (latency, throughput)
  o cost efficiency
  o reliability
  • Identify and resolve bottlenecks proactively
  
  
• Act as a trusted technical partner
  • Work directly with customer engineering teams
  • Provide guidance on best practices and optimisation
  • Translate technical challenges into actionable solutions
  
  
• Manage risks and incidents
  • Act as a primary technical contact for production issues
  • Coordinate with internal teams to resolve incidents
  • Communicate clearly during high-pressure situations
  
  
• Drive continuous improvement
  • Identify opportunities to optimise and expand usage
  • Provide structured feedback to Product and Infrastructure teams
  • Help shape better solutions based on real customer needs

We expect you to have: 

• Technical background
  • Solid understanding of:
  o cloud or infrastructure systems
  o distributed systems or high-load applications
  o AI/ML workloads (LLMs, inference, etc.) is a strong plus
  • Ability to troubleshoot and reason about system performance
  
  
• Customer-facing experience
  • Experience working directly with technical customers (e.g. engineers, ML teams)
  • Ability to communicate complex topics clearly and effectively
  
  
• Ownership & execution
  • Strong sense of ownership – you drive outcomes, not just tasks
  • Ability to manage multiple customers and priorities
  • Structured, proactive, and solution-oriented mindset

It will be an added bonus if you have: 

• Experience with GPU workloads or AI infrastructure
• Familiarity with inference frameworks (e.g. vLLM, TensorRT, etc.)
• Background in solutions engineering, SRE, or technical support in B2B environments

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $225k - 300k OTE (On Target Earnings) based on your experience.

The role 

We are seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage — ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads.

This is a high-impact, hands-on architecture role where you’ll define how tens of thousands of GPUs are interconnected, cooled down, powered, and optimized across multiple data center sites.

You are welcome to work remotely from the USA. 

Your responsibilities will include: 

• Cluster Design: Architect scalable GPU cluster topologies including compute nodes, interconnect (InfiniBand, Ethernet), storage, and control planes.
• Performance Modeling: Analyze AI/ML workloads (e.g. LLM training, inference) to inform design tradeoffs across latency, bandwidth, and GPU density.
• Network Architecture: Align with network architect relevant design and validate low-latency, high-throughput interconnects (e.g., InfiniBand HDR/NDR, RoCEv2) at POD and DC scale.
• Storage Integration: Work with storage teams to optimize performance for training datasets, checkpointing, and others.
• Reliability & Monitoring: Understand and analyze signal from monitoring systems to the detect flows in design
• Collaboration: Partner with site reliability, networking, storage, and DC engineering teams to operationalize and scale your architecture.

We expect you to have: 

• 5+ years of experience designing clusters.
• Deep understanding of modern GPU architecture (NVIDIA, AMD, etc.).
• Experience with HPC interconnects (InfiniBand & RoCE).
• Solid background in systems architecture, networking, and hardware reliability.
•  Experience in scripting for automation and telemetry pipelines (Python, Go, etc.)

The role

We are seeking a Regulatory Counsel to join the Ethics and Compliance team to support our trade controls program across the US and EMEA operations. In this role, you will provide strategic advice on global trade controls, including export controls and sanctions, while also contributing to emerging regulatory challenges affecting AI, cloud, and digital infrastructure (including data center operations).

You will work cross-functionally with product, engineering, sales, and operations teams; coordinate with outside counsel on complex regulatory matters; and have significant latitude to shape our approach to regulatory challenges. We’re a remote-first organization with global team members, so you’ll need to be comfortable working across time zones and cultures.

Your responsibilities will include: 

• Advise on US export control (EAR) and sanctions (OFAC) compliance, as well as EU/UK export controls or sanctions where applicable, for AI cloud infrastructure services, including license exception eligibility and deemed export considerations.
• Provide legal guidance on escalated restricted party screening issues and advise on regulatory risks associated with business partner onboarding and transaction reviews.
• Advise on export classifications, licensing assessments, jurisdiction and classification, deemed export compliance, and foreign national access to controlled technology.
• Advise on export control implications of cross-border technology transfers and access to controlled technical data across US and EMEA jurisdictions.
• Monitor regulatory developments (US, UK, EU, and relevant member-state regimes) affecting technology exports, sanctions regimes, AI systems, and cloud services; assess impact and recommend policy responses.
• Advise on compliance processes, policies, and internal guidance materials; coordinate with outside counsel as needed.
• Collaborate with stakeholders to integrate compliance into business operations; support regulatory incident response, including internal reviews related to potential export controls or sanctions issues.

We expect you to have: 

• JD from an accredited law school and admission to practice in at least one U.S. jurisdiction (or eligibility to in-house registration); UK/EU qualifications considered.
• 3-6 years of relevant experience. Familiarity with encryption classifications (e.g., License Exception ENC) is a plus.
• Demonstrated ability to apply complex regulations to products, services, and business operations and advise on applicable regulatory risks.
• Excellent analytical, written, and verbal communication skills, stakeholder management, and ability to explain complex regulations to technical and business audiences, including working effectively across time zones with globally distributed teams.
• High level of integrity and ability to manage multiple priorities in fast-paced environment.

It will be an added bonus if you have: 

• Experience in a highly regulated, high-growth, or global technology environment.
• Experience with national security-related technology controls or review processes is a plus.

We are looking for someone business-minded who is forward-thinking, pragmatic, and comfortable with uncertainty.

We offer competitive salaries, ranging from 156k - 236k OTE (On Target Earnings) + equity based on your experience.

The role 
We are seeking a Senior Enterprise Applications Engineer to join our Enterprise Technologies team. In this role, you will be responsible for the administration, configuration, reliability, and continuous improvement of our collaboration application ecosystem - including (but not limited to) Atlassian Cloud, Slack, Zoom, and other business collaboration SaaS platforms including AI systems.You will work closely with cross-functional stakeholders (IT, Security, Compliance, and business teams) to ensure our collaboration tools remain secure, well-governed, integrated, and aligned with organisational needs.
This position is ideal for someone with strong hands-on SaaS administration experience who enjoys automation, integrations, platform governance, and driving adoption across a modern enterprise stack.

You’re welcome to work remotely in the USA. 

Your responsibilities will include: 

• Administer, configure, and maintain collaboration and productivity SaaS platforms, including Atlassian Cloud (Jira, Jira Service Management, Confluence, Assets, Statuspage), Slack, Zoom, and adjacent tools as needed.
• Own platform reliability and operational health: monitoring, incident response, problem management, and continuous improvement (runbooks, SLAs/SLOs where applicable).
• Design and manage Jira/JSM configurations (workflows, automation rules, custom fields, request types, SLAs, portals, permission schemes) aligned to organizational standards.
• Manage Confluence spaces, templates, and permissions, ensuring consistent governance and information architecture across departments.
  Implement and support identity federation and user lifecycle management (SSO, SCIM) via Azure Entra ID (Azure AD) and enforce least-privilege access models across platforms.
• Build and maintain automations and integrations using APIs, webhooks, and automation tooling (e.g., Atlassian Automation, Slack/Zoom APIs, scripts in Python/PowerShell), enabling cross-tool workflows and reducing manual admin effort.
• Evaluate, onboard, and manage third-party apps/add-ons and AI capabilities (security review, supportability, licensing/cost management, and vendor engagement).
• Partner with Security, Compliance, and IT Governance to ensure adherence to data retention, access control, audit requirements, and secure configuration baselines.
• Support enterprise AI systems used for collaboration and productivity (e.g., AI assistants/copilots, enterprise search/knowledge tooling) with governance, access, integrations, and responsible enablement.
• Maintain documentation, change logs, configuration records, and standards for all owned systems; drive consistent operating procedures and change management.
• Collaborate with project teams and business owners to optimize use cases, drive adoption, and deliver platform enhancements via a clear backlog and roadmap.
• Provide tier-3 user support, training, and best-practice guidance for collaboration tools; develop self-service and enablement materials where appropriate.

We expect you to have: 

• 5+ years of hands-on experience administering and supporting enterprise collaboration SaaS platforms (deep expertise in at least one; broad competence across several).
• Strong experience with Atlassian Cloud administration (Jira Software and/or Jira Service Management, Confluence), including scalable configuration design (workflows, automation, permissions, and governance).
• Experience administering and governing Slack and/or Zoom (workspace governance, policies, roles, and integrations) or comparable collaboration platforms.
• Practical experience with SSO, SCIM, and user lifecycle management via Azure Entra ID (Azure AD) or an equivalent identity provider.
• Experience with API-based integrations and automation; comfortable with scripting (Python, PowerShell, or similar) and working with webhooks/REST APIs.
• Understanding of SaaS governance principles, including access reviews, retention, audit controls, and BCP/DR considerations for critical systems.
• Ability to evaluate and manage marketplace apps/add-ons and AI features with a focus on security, supportability, and business value.
• Excellent problem-solving and communication skills with a collaborative mindset; comfortable working with technical and non-technical stakeholders.
• Passion for process improvement, automation, reliability, and knowledge sharing.  

Nice to have:

• Experience with ITSM practices and tooling (incident/problem/change), including running service operations for SaaS platforms.
• Experience with Jira Service Management as an enterprise service platform (portals, catalogs, assets/CMDB concepts, and integrations).
• Familiarity with information security and privacy controls relevant to collaboration and AI systems (e.g., retention/eDiscovery concepts, DLP, conditional access).
• Experience with integration platforms (iPaaS) and/or enterprise automation frameworks.

The role

Nebius is seeking a highly skilled and motivated Commercial Legal Counsel to join our US legal team. This role is best suited for an attorney with strong experience negotiating and managing complex commercial agreements, particularly in the technology, AI, and digital infrastructure sectors.

The ideal candidate is detail-oriented, business-minded, and comfortable working in a fast-paced environment across multiple parallel projects. This attorney will play a key role in supporting Nebius’s commercial operations in the US by drafting, negotiating, and advising on a broad range of commercial contracts and technology-related agreements.

Your responsibilities will include: 

• Draft, review, and negotiate a wide range of commercial agreements, including:
• • Technology and AI-related agreements
  • Software licensing and SaaS agreements
  • Commercial services agreements
  • Vendor, procurement, and supplier contracts
  • Strategic partnership and collaboration agreements
• Provide legal support for complex commercial transactions and strategic business initiatives.
• Partner closely with business, product, procurement, and operational teams to deliver practical, business-oriented legal advice.
• Ensure company activities comply with applicable US laws, regulations, and internal policies.
• Develop and improve contract templates, internal processes, and playbooks for the US legal function.
• Manage external counsel where needed and coordinate legal workstreams across multiple ongoing projects.
• Identify legal risks in commercial transactions and help implement pragmatic mitigation strategies.
• Support cross-functional initiatives related to technology, AI deployment, and commercial operations.

We expect you to have: 

• J.D. degree from an accredited US law school and admission to practice in at least one US state.
• Approximately 3-7 years of relevant legal experience after bar admission.
• Prior in-house legal experience is required; law firm experience is a strong plus.
• Significant hands-on experience drafting and negotiating commercial contracts, particularly in technology, AI, SaaS, or other technology-driven industries.
• Strong drafting, negotiation, and analytical skills.
• Ability to manage multiple complex matters simultaneously.
• Excellent communication skills and strong attention to detail.
• Ability to work independently in a fast-paced and dynamic environment.

The role 

The DevRel role helps developers understand and use the company’s product. They create technical content, engage with the developer community, and bring feedback back to internal teams. 

You’re welcome to work remotely from the United States.

Your responsibilities will include: 

• Write documentation, tutorials, and technical guides 
• Build sample apps and demos using the company’s product or API 
• Create content such as blog posts, videos, and code examples 
• Engage with developers through GitHub, forums, Discord, and social media 
• Speak at conferences, host workshops, and run webinars 
• Help developers troubleshoot and onboard to the product 
• Collect feedback from developers and share it with product and engineering teams 
• Support product launches with technical content and demos

We expect you to have: 

• Software development experience (commonly JavaScript, Python, or similar) 
• Ability to explain technical concepts clearly 
• Experience writing technical content 
• Comfortable speaking publicly or engaging with communities 

Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $190k - $230k OTE based on your experience.

The role

Nebius is looking for a System Engineer (Servers Hardware R&D Team) to support our expanding North American operations. This position requires occasional on-site presence in our Data Center locations as needed.

Your responsibilities will include:

• Participate in the design, deployment, and maintenance of high-performance cloud systems optimized for AI workloads.
• Arrange and perform hardware R&D tests and experiments on-site in data center environments.
• Troubleshoot and resolve complex system issues related to GPUs, networking (InfiniBand, NVLink), PCIe, and server infrastructure.
• Conduct deep investigations into hardware, software, and networking issues to ensure optimal system performance and reliability.
• Develop and execute test plans and methodologies for advanced GPU, InfiniBand, and compute systems to benchmark and validate performance.
• Collaborate closely with cross-functional engineering and operations teams to improve system performance and reliability.
• Monitor system performance and continuously fine-tune configurations for maximum efficiency.

What we expect you to have:

• Strong knowledge of modern server architecture, particularly in high-performance, GPU-based environments.
• Hands-on experience with GPUs, networking, NVLink, and PCIe technologies.
• Proficiency in Linux systems, with experience using Python and Bash for automation and tooling.
• Demonstrated ability to troubleshoot complex hardware, software, and networking issues.
• Experience with deep problem investigation, root cause analysis, and performance optimization in cloud or high-performance computing environments.
• Strong analytical and problem-solving skills with a performance-first mindset.
• Basic electronics modification skills, including soldering and wiring.

It will be an added bonus if you have:

• Knowledge of the Linux kernel and experience with kernel-level debugging or troubleshooting.
• Familiarity with electronic measurement equipment such as oscilloscopes and multimeters.

Key employee benefits: 

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 
• 401(k) plan: up to 4% company match with immediate vesting. 
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. 
• Remote work reimbursement: up to $85/month for mobile and internet. 
• Disability & life insurance: company-paid short-term, long-term and life insurance coverage. 

Compensation

• We offer competitive salaries, ranging from $150k- $200k base + quarterly performance bonuses.

Join Nebius Today!

The Role:

The OFCI Procurement Manager – Data Centers is responsible for the technical and commercial procurement of Owner-Furnished, Contractor-Installed (OFCI) equipment for mission-critical data center facilities. The role ensures that long-lead, high-reliability power and cooling equipment meets stringent performance, redundancy, and availability requirements while aligning procurement schedules with construction, commissioning, and go-live milestones.

This position reports to the Procurement Manager US Team Lead and is a remote position serving the geographically distributed projects for the company. 

Your responsibilities will include: 

Technical Scope & Engineering Coordination

• Define OFCI equipment scope in collaboration with data center design, engineering, and construction teams
• Review and validate technical specifications, single-line diagrams, layouts, and equipment datasheets with data center design, engineering, and construction teams
• Ensure compliance with data center design criteria (Tier levels, redundancy, fault tolerance, uptime targets)
• Manage technical clarifications, deviations, and vendor compliance matrices

Vendor Selection & Technical Procurement

• Issue RFQs/RFPs for critical data center infrastructure equipment
• Lead technical and commercial bid evaluations with engineering stakeholders
• Conduct vendor technical interviews and design alignment workshops
• Negotiate contracts covering performance guarantees, availability, FAT requirements, delivery milestones, and warranties

Critical Equipment Oversight

• Manage procurement and delivery of long-lead, mission-critical equipment, including:
• Electrical: generators, medium- and low-voltage switchgear, transformers, UPS systems, PDUs, busways
• Mechanical: chillers, cooling towers, CRAH/CRAC units, pumps, heat exchangers
• Controls & Monitoring: BMS, EPMS, SCADA, protection and control systems

Manufacturing, FAT & Quality Control

• Monitor vendor engineering, manufacturing, and testing schedules
• Review vendor drawings, protection studies, and control logic
• Coordinate and participate in FATs, integrated systems testing (where applicable), and inspections
• Manage non-conformances, corrective actions, and technical change control

Logistics, Site Delivery & Installation Readiness

• Develop logistics strategies for oversized and critical equipment
• Coordinate international shipping, customs clearance, and just-in-time delivery
• Ensure equipment preservation, storage, and environmental controls on site
• Support installation readiness reviews and contractor handover

Schedule, Risk & Interface Management

• Track long-lead items and procurement activities on the project critical path
• Identify and mitigate risks related to capacity, lead times, factory constraints, and supply chain disruptions
• Coordinate interfaces between OFCI equipment and contractor-installed systems
• Provide detailed procurement and risk reporting to project leadership

Documentation, Commissioning & Handover

• Ensure completeness and accuracy of as-built documentation, O&M manuals, and warranties
• Support commissioning, IST, and turnover to operations teams
• Close out OFCI packages in accordance with data center operational requirements

We expect you to have: 

• Bachelor's degree in a relevant field of study, (i.e. Construction Management, Engineering, Business, Supply Chain Management, Project Management, etc.) or equivalent combination of experience and technical training.
• 5+ years of experience in technical procurement or engineering for data centers or mission-critical facilities
• Proven experience procuring long-lead, high-reliability OFCI equipment
• Strong understanding of critical power and cooling systems
• Experience with FATs, commissioning, and contractor coordination

 It will be an added bonus if you have:  

• Hyperscale or colocation data center experience
• Knowledge of Uptime Institute Tier standards or equivalent reliability frameworks
• Familiarity with IEC, IEEE, NFPA, NEC, ASHRAE, and local codes

The role 

Nebius is building several new industry verticals to expand beyond AI-native cloud customers into enterprise segments through repeatable, scalable solutions. 

We are looking for an experienced Senior Program Manager - Industry Verticals to establish structure, planning discipline, and transparent reporting across the verticals portfolio. The primary mission of this role is to create a clear, reliable operating rhythm that enables visibility, alignment, and predictable execution across multiple parallel initiatives. 

This is a hands-on project management role focused on planning, tracking, coordination, and reporting - not business ownership or strategy definition. 

The role will ensure that initiatives across Physical AI and Robotics, Media and Entertainment, Retail and E-commerce, and Financial Services are clearly structured, properly tracked, and consistently reported, with risks surfaced early and decisions documented. 

You are welcome to work remotely from the US (East Coast preferred) or Europe. 

Your responsibilities will include: 

• Own and maintain a single source of truth for all vertical initiatives, including goals, owners, milestones, and status
• Structure initiatives into clear workstreams with defined timelines and accountable owners
• Establish and run weekly and monthly planning and review cadences
• Track cross-functional milestones, risks, and dependencies, escalating issues early
• Provide clear, objective reporting and concise executive summaries for leadership
• Align stakeholders across Growth, Product, Marketing, Partnerships, and Sales on priorities and deliverables
• Translate discussions into documented action items, owners, and deadlines
• Clarify scope, prevent initiative drift, and support structured decision-making
• Lead select cross-functional projects with defined scope, milestones, and success metrics
• Create and maintain a trusted portfolio dashboard that enables leadership visibility at a glance
• Standardize reporting and portfolio management processes to ensure predictability and transparency
• Reduce ambiguity across workstreams by driving clarity in scope, ownership, and timelines
• Proactively surface risks early to minimize last-minute escalations
• Ensure cross-functional initiatives progress against defined milestones with structured, transparent execution 

We expect you to have: 

• 7+ years in Project Management, Program Management, Strategy and Operations, or similar roles in B2B tech
• Strong experience managing cross-functional initiatives with Sales, Marketing, Product, and Engineering stakeholders
• Proven ability to build planning systems and tracking mechanisms from scratch
• Excellent written communication skills – concise briefs, status reports, and structured updates
• Strong organizational discipline and attention to detail
• Ability to operate in a fast-moving environment with multiple parallel priorities
• A structured and methodical working style
• Ability to bring order to complex, ambiguous environments
• Comfort following up consistently and holding stakeholders accountable to timelines
• Low ego, collaborative approach with high execution discipline 

It will be an added bonus if you have: 

• Strong proficiency with AI tools and AI agent development platforms (e.g., Claude CoWork/Code, Cursor, etc.), with the ability to act as an automation builder and agent orchestrator to unlock meaningful operational leverage across verticals.
• Experience in cloud, AI infrastructure, or enterprise technology
• Experience working in a matrix organization across geographies
• Familiarity with portfolio management tools and reporting frameworks 

Key US Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive US salaries, ranging from $235k - $285k OTE (On Target Earnings) + Equity based on your experience - Benefits and compensation will be aligned with and adjusted to the European market.

The role 

The Site Selection & 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. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements.

You’re welcome to work in our office in Amsterdam or Remote - United States.

Your responsibilities will include: 

• Lead the end-to-end site selection process for new data center facilities.
• Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors.
• Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing.
• Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies.

• Coordinate environmental, geotechnical, hydrological, and seismic assessments.
• Assess infrastructure availability (power, water, fiber) and future scalability.
• Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility.
• Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements.

• Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure.
• Lead RFPs, negotiations, and contract execution with colocation and connectivity partners.
• Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations.
• Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics.

• Work with data center design and construction teams to validate site feasibility and development timelines.
• Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance.
• Support finance with CapEx/OpEx modeling, ROI calculations, and business case development.
• Coordinate with public authorities, utilities, and permitting agencies as needed.

• Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability.
• Ensure compliance with local regulations, zoning laws, and corporate standards.
• Maintain documentation for audits, reporting, and internal approvals.

We expect you to have: 

• Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field.
• 5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure.
• Strong understanding of data center power, cooling, and network requirements.
• Experience in evaluating colocation providers and negotiating leases/SLAs.
• Analytical skills in market research, cost modeling, and risk assessment.
• Ability to manage multiple simultaneous projects across regions.
• Excellent communication, negotiation, and stakeholder management skills.

It will be an added bonus if you have: 

• Experience with hyperscale or large-scale data center development.
• Knowledge of utility procurement (power, water), renewable energy markets, and substation planning.
• Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning.
• Understanding of permitting processes and environmental regulations.

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.