Nebius
Full-stack AI infrastructure with GPU clusters
Key Customers Solutions Architect
More locations: Remote in Canada
About the job
- Experience of 5–10+ years in roles such as Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, including hands-on experience with cloud services and artificial intelligence and machine learning workloads.
- Proficiency with Infrastructure as Code tools such as Terraform and Ansible.
- Experience with Kubernetes and Python programming.
- A solid understanding of graphics processing unit computing, including machine learning training, inference workloads, and graphics processing unit stacks such as CUDA and OpenCL.
- Ability to build trust and foster long-term customer relationships.
- Ability to explain technical concepts to technical and non-technical audiences.
- A bachelor's degree or higher in Computer Science, Computer Engineering, Software Engineering, Information Technology, Mathematics, Electrical Engineering, or another closely related technical or quantitative field.
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire.
- Serve as the primary technical point of contact by troubleshooting and resolving complex artificial intelligence and machine learning issues.
- Guide customers in optimizing graphics processing unit performance for machine learning training and inference workloads while ensuring seamless integration and scalability.
- Partner with the sales team to identify new opportunities, promote products, and deliver technical presentations.
- Act as a bridge to product teams by providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
- Engage with internal and external stakeholders, negotiate solutions, and drive alignment to address customer challenges.
- Hands-on experience with high-performance computing and machine learning orchestration frameworks such as Slurm and Kubeflow.
- Experience with deep learning frameworks such as PyTorch and TensorFlow.
- Familiarity with machine learning tools from NVIDIA, AWS, Azure, and Google Cloud.
- Strong project management skills, including the ability to prioritize tasks and deliver on deadlines.
- Proven experience mentoring technical teams and driving team growth.
- Expertise in stakeholder negotiation to support problem resolution and seamless collaboration.
About the company
Nebius Group N.V. is a publicly listed Amsterdam-based company that builds full-stack AI infrastructure. Its offerings include large GPU clusters, cloud services tailored for AI, and developer tools, all designed to run AI workloads at a global scale. After spinning out its Russian assets in 2024, Nebius realigned to provide high-capacity AI platforms, operate dedicated data centers, and supply ecosystems of technical support, data, and hardware. Its products work by delivering end-to-end control of the AI value chain, from the physical hardware to software services and cloud-like capabilities, across multiple geographies. Nebius differentiates itself from major traditional cloud providers by offering integrated, owner-operated data centers and a complete stack focused on AI, rather than simply reselling generic cloud resources. The company's goal is to be a practical alternative to large cloud providers, giving customers more control, reliability, and scale for AI workloads.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
1997
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Simplify's Take
What believers are saying
- Q2 2026 revenue jumped 454% to $582.3 million, proving demand.
- Nebius closed four Q2 deals averaging over $1 billion each, boosting backlog.
- Palantir integration expands Nebius into sovereign enterprise customers starting after the 2026 integration period.
What critics are saying
- Nebius guides $20 billion-$25 billion 2026 capex against $3 billion-$3.4 billion revenue.
- Investor lawsuits over the Birmingham data center continue; a July 2026 injunction hearing remains unresolved.
- CoreWeave, hyperscalers, and power delays can strand Nebius's backlog before 2027 revenue conversion.
What makes Nebius unique
- Nebius builds AI-native sovereign infrastructure, not retrofitted general-purpose cloud, unlike AWS and Azure.
- Palantir named Nebius its preferred sovereign AI infrastructure partner on September 8, 2026.
- Nebius sold full-stack capacity plus partner-financed deployments, reaching 5 gigawatts contracted power.
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Benefits
Health Insurance
401(k) Company Match
Parental Leave
Remote Work Options
Disability Insurance
Life Insurance
Hybrid Work Options
Professional Development Budget
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -6%2 year growth
↓ -9%Palantir Technologies and Nebius Group have announced a strategic partnership to provide sovereign AI infrastructure to Palantir's commercial customers. Palantir has named Nebius its preferred sovereign AI infrastructure partner. Under the partnership, Nebius's AI-native compute infrastructure and cloud platform will be integrated within the Palantir enterprise perimeter. This will enable eligible customers to access Nebius's cloud and inference infrastructure whilst maintaining control over their compute, data, and models. The companies will collaborate to accelerate deployment of new compute capacity, including through modular data-centre deployments at sites with available power. Eligible Palantir customers will be able to deploy open models on Nebius infrastructure and adapt them using their own proprietary data. Palantir selected Nebius for its ground-up AI infrastructure design, built specifically for demanding AI workloads rather than adapted from general-purpose computing.
Nvidia CEO Jensen Huang estimated at the G20 Summit that building a 1-gigawatt AI data centre facility costs between $50 billion and $60 billion. These facilities are becoming crucial for scaling AI applications, including chatbots, autonomous vehicles, and humanoid robots. The valuation presents opportunities for neocloud providers like Nebius, which reported 454% year-over-year revenue growth to $582 million in Q2. Nebius projects five gigawatts of contracted power by end-2026, potentially worth up to $300 billion when facilities are completed. Higher facility valuations could help neoclouds secure more customer prepayments for construction. Nebius has seen its annual contract value per megawatt climb from $12 million at year-start to over $40 million for short-term Q3 deals.
A Motley Fool analyst recommends three high-growth technology stocks: Nvidia, Micron Technology, and Nebius Group. Nvidia, despite being the world's largest company by market cap, grew revenue 106% year over year last quarter. Management expects 70% revenue growth next fiscal year, whilst the stock trades at 23.4 times forward earnings. Micron Technology manufactures memory chips for data centres. Analysts expect 348% revenue growth year over year in Q4 results due Sept. 30, with an additional 85% growth projected for fiscal 2027. Nebius Group, a neocloud computing business, saw revenue surge 454% year over year in Q2. Analysts forecast 533% revenue growth for 2026 and 257% for 2027.
Billionaire Stephen Mandel's Lone Pine Capital opened significant positions in two AI stocks during Q2, according to recent filings. The fund invested approximately $1.18 billion in Nebius Group, making it the portfolio's largest holding at 7.19%. Lone Pine also purchased over one million shares of Seagate Technology Holdings worth about $965.1 million, representing 5.90% of the portfolio. Nebius, an AI cloud infrastructure company, reported strong growth with Q2 revenue jumping 454% year-over-year to $582.3 million. However, the company expects capital expenditures of $20 billion to $25 billion in 2026 against revenue guidance of only $3 billion to $3.4 billion. Nebius trades at 17.4 times forward EV/sales, compared to a sector median of 3.5 times.
Nvidia reported second-quarter adjusted earnings of $2.22 per share on revenue of $96.2 billion, beating estimates. Data Centre revenue surged 117% year-over-year to $89 billion, with ACIE segment revenue — including neocloud — jumping 138% to $40 billion. Nvidia expects neocloud partner capacity to reach eight gigawatts by end of 2026, up from three gigawatts in 2025. CFO Colette Kress said demand is accelerating despite supply constraints limiting expected growth to 70% next year. Following the results, CoreWeave, Nebius and IREN shares rose 4%, 6% and 3% respectively in overnight trading. However, Palo Alto Networks CEO Nikesh Arora warned that neocloud valuations could collapse once supply and demand normalise, stating that equity funding for capital expenditure "only works in a euphoric market".