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Nebius

Runs GPU clouds for AI training and deployment

Offensive Security Engineer

Offensive Security & TestingConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • At least 6 years of experience in offensive security, penetration testing, red teaming, or adversary simulation.
  • Deep experience attacking cloud-native environments, including Kubernetes privilege escalation, cloud identity and access management abuse, and virtualization and container escapes.
  • Strong fundamentals across the attack lifecycle, including initial access, persistence, lateral movement, and data exfiltration.
  • Proficiency developing custom tooling and post-exploitation capabilities using Python, Go, or a similar language.
  • Experience running purple team exercises and working constructively with blue teams.
  • Ability to write clear, senior-level reports with business-contextualized risk and actionable guidance for engineers.

Responsibilities

  • Validate and extend early-stage Secure Software Development Lifecycle threat models through continuous penetration testing, assess threat severity and mitigation status, challenge threat-modeling and system-development assumptions, and automate routine validations while reserving manual analysis for complex cases.
  • Plan and execute full-scoped red team engagements against the Nebius cloud platform, including compute, storage, inference, networking, orchestration layers, and internal tooling; identify threats that could impact organizational operations.
  • Work with Detection and Response and other security engineering teams to run purple team exercises, validate detection coverage, and close gaps collaboratively.
  • Research novel attacks against GPU infrastructure, including closed-source firmware and vendor driver binaries, device passthrough exploits, SR-IOV/IOMMU misconfigurations, and RDMA/InfiniBand fabric attacks; research the inference stack and AI platform managed services; assess tenant-isolation boundaries and how they can be broken at the low-level stack.
  • Conduct targeted assessments of new products and infrastructure changes before they ship.
  • Deliver clear, actionable reports for technical audiences and leadership, with prioritized findings and remediation guidance.
  • Establish red team processes, tooling, and a methodology that scales as the platform grows.

Desired Qualifications

  • Experience attacking machine-learning infrastructure, model-serving pipelines, or GPU clusters.
  • Reverse engineering and exploit development experience.
  • Application security experience.
  • Familiarity with eBPF bypass techniques or kernel-level exploitation.
  • Background in vulnerability research or CVE discovery.
  • Experience with cloud provider internals, including hypervisor and networking layers.
  • Experience presenting security research at conferences such as BlackHat or DefCon.

About the Company

Nebius

Runs GPU clouds for AI training and deployment

Nebius runs an AI cloud for developers, researchers, and enterprises that train models and put them into production. Its AI Cloud combines GPU computing, storage, networking, and managed services, while Token Factory runs models through an API so teams do not manage the underlying servers. Customers rent computing and storage at usage rates or reserve capacity, choosing resources that fit short experiments or sustained production workloads. Beyond the cloud, the group owns Avride, which develops autonomous vehicles and delivery robots, and TripleTen, which teaches technical skills for people changing careers. The publicly listed group is headquartered in Amsterdam, Netherlands.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
1997

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