---
title: 'ML Infrastructure Engineer at Nebius'
canonical: 'https://feeny.ai/job/ml-infrastructure-engineer-nebius-amsterdam-hhtsc6wgnn3x'
type: 'job'
last_seen: '2026-09-05'
---

# ML Infrastructure Engineer at Nebius

- **Company:** Nebius
- **Location:** Amsterdam, Netherlands
- **Work type:** remote
- **Posted:** 2026-05-12
- **Last confirmed live:** 2026-09-05
- **Apply:** https://careers.nebius.com/?gh_jid=4864833101

## Job description

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

## The role

We are seeking a highly skilled ML/AI Engineer to join our team to lead and support benchmarking of GPU platforms benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimisation and next-generation hardware development.

Your responsibilities will include:

- Work closely with hardware, development teams to profile and analyse GPU performance at the system and kernel level.
- Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g.,CUDA, ROCm).
- Debug and optimise ML workloads to run efficiently on GPU hardware, identifying and resolving performance bottlenecks.
- Perform acceptance testing acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads.
- Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimisations on performance and scalability.
- Develop tools and dashboards to visualise performance metrics visualise performance metrics, bottlenecks, and trends.
- Contribute to internal tooling, frameworks, and best practices

We expect you to have:

- A profound understanding of theoretical foundations of machine learning
- Deep understanding of performance aspects of large neural networks training and inference (data/tensor/context/expert parallelism, offloading, custom kernels, hardware features, attention optimisations, dynamic batching etc.)
- Deep experience with modern deep learning frameworks (PyTorch, JAX, Megatron-LM, Tensort-LLM)
- Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries
- Familiarity with containerized environments (e.g., Docker, Kubernetes).
- Strong communication and ability to work independently

Ways to stand out from the crowd:

- Familiarity with modern LLM inference frameworks (vLLM, SGLang, TensorRT)
- Experience in Python and performance profiling tools (e.g., Nsight, nvprof, perf).
- Familiarity with cloud ML platforms like AWS, GCP, Azure ML
- Contributions to open-source ML benchmarking tools

Benefits & Perks:

- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

## About Nebius

## Company Overview
- **One-liner**: Nebius builds a full-stack AI cloud platform providing GPU-accelerated infrastructure and services for training, fine-tuning, and deploying AI models at scale.
- **Entity Type**: Public (ticker: NBIS on Nasdaq)
- **Headquarters**: Amsterdam, Netherlands
- **Founded**: 2024 (as Nebius Group N.V., the successor to the former Yandex N.V.)
- **Founders**: Arkady Volozh (founder of Yandex)

## Core Business
- **Primary industry**: AI Cloud Infrastructure & Services (Technology, Information and Internet)
- **Target customers**: AI innovators of all sizes — from startups to research institutes to enterprises — across sectors including healthcare, life sciences, robotics, finance, and entertainment, as well as national AI programs.
- **Mission or purpose statement**: To become one of the world's largest AI infrastructure companies, building the infrastructure for the age of AI.

## Products & Services
- **Nebius AI Cloud**: A full-stack cloud platform offering raw GPU compute, serverless and managed inference, and MLOps tooling. Built on custom hardware with non-virtualized GPUs and InfiniBand networking, designed for high performance and reliability.
- **Nebius Token Factory**: A service for running and managing large-scale inference workloads, including serving open-source and custom models.
- **Nebius Echo**: An AI agent built directly into the Nebius console for operational support.
- **Nebius Agents Blueprint**: An open architecture for building production-ready AI agents.
- **Reference Platform NVIDIA Cloud Partner**: A designation for partners operating large clusters built in coordination with NVIDIA, adhering to a tested and optimized reference architecture.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed in the search results; as a public company (NBIS), market cap fluctuates daily.
- **Key Metric**: Total funding raised: **$10.29 billion** (including a $4.3B post-IPO equity round in March 2026, a $2.8B convertible note in September 2025, and a $1.4B post-IPO equity round in May 2011). Notably, a **$27 billion** long-term AI infrastructure supply agreement with Meta was announced in 2026.
- **Notable Investors/Partners**: Meta (long-term infrastructure agreement), NVIDIA (Reference Platform Cloud Partner), Bloom Energy (power infrastructure partnership).
- **Growth Signals**: 
    - **Headcount**: 900 employees (+114.9% YoY growth; +8.2% monthly growth).
    - **Active Job Postings**: 145 open roles (Yearly growth: +866.7%).
    - **Key Metrics**: Claims to offer better TCO for fine-tuning and inference vs. AWS; reports a 70% reduction in AI setup pipeline time for a partner (RoboForce); operates with a mean time between failures (MTBF) of 56.6 hours for a 3,000-GPU cluster.
    - **New Initiatives**: Launching the "Nebius Early Talent Program" for early-career engineers; announced an AI factory launch team in Lappeenranta, Finland; acquired Tavily and licensed Clarifai's inference IP.

## Competitive Advantages
- **Custom Hardware**: Non-virtualized GPUs with InfiniBand networking, providing raw, dedicated performance without the overhead of virtualization.
- **Full-Stack, Hyperscaler-Like Platform**: Combines the scale and reliability of a hyperscaler with the performance of a supercomputer, including built-in MLOps tooling.
- **NVIDIA Reference Platform Partner**: A trusted partner with a validated, optimized architecture for large-scale AI workloads.
- **Elasticity**: Offers flexible consumption options from small experiments to global-scale deployments.
- **Deep Engineering Talent**: Built around a core of 500+ AI experts and hundreds of engineers with deep expertise in building world-class tech infrastructure (many from Yandex).

## Strategic Focus
- **Massive Infrastructure Build-Out**: Executing on a multi-billion dollar agreement with Meta and expanding data center capacity in Europe and the US.
- **Power & Energy Partnerships**: Partnering with Bloom Energy to secure reliable, on-site power for AI infrastructure.
- **Product Innovation**: Continuously releasing new products (Echo, Agents Blueprint, Token Factory) to capture more of the AI developer workflow.
- **Talent Acquisition**: Aggressively hiring across engineering, sales, and operations to support hypergrowth, with a dedicated Early Talent Program.
- **Ecosystem Expansion**: Targeting specific verticals like healthcare, life sciences, and robotics with dedicated solutions and partnerships.

## Why Work Here
- **High-Impact Work**: Employees solve some of the hardest technical problems in AI, building infrastructure that powers the next generation of technology.
- **Culture**: Described as fast-moving, with a culture of trust and autonomy. New ideas are encouraged, experimentation is welcomed, and ownership is part of everyday work.
- **Work Model**: Remote-friendly work culture built on trust and autonomy, with flexibility designed around time zones and personal commitments.
- **Compensation**: Top-tier pay and benefits.
- **Development**: Clear development paths to take careers forward, with mentorship from industry experts.
- **Team**: A diverse, multicultural team with hubs across Europe, North America, and the Middle East.
- **Notable Perks**: Thoughtful team gatherings, 24/7 support by default, and access to free white-glove proof-of-concepts.

## Sources
1. [Nebius Official Website](https://nebius.com)
2. [Nebius Careers Page](https://nebius.com/careers)
3. [Nebius LinkedIn Page](https://www.linkedin.com/company/nebius)
4. [Nebius Group LinkedIn Page](https://www.linkedin.com/company/nebius-group)

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