Customer Engineer
About the job
- At least 5 years of experience in roles such as 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 for 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, ensuring seamless integration and scalability.
- Partner with the sales team to identify new opportunities, promote the latest 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, Amazon Web Services, Microsoft Azure, and Google Cloud.
- Strong project management skills, including the ability to prioritize tasks and deliver on deadlines.
- Experience mentoring technical teams and driving team growth.
- Expertise in stakeholder negotiation to support problem resolution and ensure 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
- Nebius expects $9 billion customer prepayments in 2026, reducing near-term funding strain.
- The company closed four $1 billion-plus deals, with $20-$25 million per megawatt economics.
- AIB signed Nebius for 50 MW in the southeastern United States, expanding delivery capacity.
What critics are saying
- Nebius reported $5.7 billion Q2 capex and $20-$25 billion 2026 capex guidance.
- Management needs roughly $250 billion for a 5-gigawatt pipeline and secured 20%.
- Hyperscalers and neocloud rivals can undercut pricing before Nebius reaches full capacity.
What makes Nebius unique
- Nebius builds AI-native cloud infrastructure, not retrofitted general-purpose enterprise hosting.
- Q2 2026 revenue grew 454% to $582.3 million, proving product-market fit.
- Palantir named Nebius its preferred sovereign AI infrastructure partner in 2026.
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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
↑ 5%1 year growth
↓ -1%2 year growth
↓ -3%Nebius has signed a 12-year agreement with AIB Data Centers for 50 MW of critical IT capacity at a site in the southeastern US. The deal includes optional renewals, though financial terms were not disclosed. AIB said customer prepayments, along with project-level debt and preferred equity, should fund a substantial portion of initial development costs. The capacity is backed by a 15-year electric service agreement for 65 MW of utility load and will be delivered across two data halls. Nebius provides AI cloud infrastructure for developers and enterprises. Andrey Korolenko, the company's chief product and infrastructure officer, said time-to-power is the binding constraint on AI infrastructure today.
Two AI infrastructure companies, Innodata and Nebius Group, offer contrasting investment profiles as demand for generative AI capabilities accelerates. Innodata provides data engineering and human expertise for AI model training, serving five of the "Magnificent Seven" tech giants. The company reported FY 2025 revenue of nearly $252 million, up 48% year-over-year, with net income of approximately $32.2 million. It operates debt-free with strong cash generation. Nebius Group operates cloud infrastructure for AI model development. The former Yandex unit pivoted to AI in 2025, achieving explosive growth with FY 2025 revenue reaching nearly $530 million, up roughly 350% year-over-year. Net income was approximately $102 million, though the company posted a free cash flow loss of nearly $3.7 billion due to capital spending. Innodata faces customer concentration risk, with one client accounting for nearly 58% of 2025 revenue. Nebius competes against hyperscalers like Amazon and Microsoft whilst managing capital-intensive infrastructure expansion. Despite a higher price-to-sales ratio of 42.6x versus Innodata's 7.3x, Nebius's lower forward P/E of 37.8x and projected $3.3 billion in 2026 sales present stronger growth prospects.
Nebius Group is raising prices for its AI inference platform Token Factory by an average of 18.3%, effective 1 October, according to customer communications shared on social media. Hourly costs for Nvidia GPU configurations will increase between 16% and 20%, with H100 pricing rising from $4.05 to $4.70 per hour and B300 rates climbing from $8.10 to $9.70. The price hikes follow similar increases to on-demand cloud services earlier this month. Nebius attributes the adjustments to intense demand for GPU capacity. The company reported 454% revenue growth to $582.3 million in Q2, driven by surging AI Cloud demand. NBIS shares have gained 182% year-to-date and rose 0.2% in overnight trading following a five-session winning streak.
Nebius reported a dramatic margin improvement, with EBITDA swinging from negative 24.33% in Q4 2025 to 44.38% in Q2 2026. Management attributes this to a shift from preselling 2027 capacity to premium short-term pricing, with standard contracts now at $20 million to $25 million per megawatt and short-term deals fetching $40 million to $50 million. Despite the margin gains and shares up over 150% year to date, NBIS trades at 9.34 times next-twelve-months enterprise value to revenue, below its historical average. However, free cash flow deteriorated sharply, falling to negative $3.41 billion in Q2 2026 as capital expenditure accelerated. Management disclosed at Citi's Global TMT Conference that Nebius has secured only 20% of the roughly $250 billion needed to fund its 5-gigawatt capacity pipeline.
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.