进攻性安全工程师

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.

Offensive security

The internal offensive security team is responsible for the penetration testing program, red team engagements, and offensive research aimed at uncovering sophisticated attack scenarios targeting high-value assets across the Nebius Cloud stack.

The Role

We're hiring an Offensive Security Engineer to join us at Nebius. You'll design and execute adversarial simulation across our cloud platform - attacking the same infrastructure our customers depend on - and translate findings into measurable security improvements.

This is a hands-on engineering role within Product Security Team. You will be part of an internal red team, establish a penetration testing program, and conduct research to uncover sophisticated attack scenarios targeting high-value assets across the Nebius tech stack.

What you’ll do

• Validate and extend early-stage Secure SDLC threat models via continuous penetration testing, assessing threat severity and mitigation status while challenging assumptions made during threat modeling and system development. Automate routine validations to keep pace with increasing feature flow, reserving manual analysis for genuinely complex cases.

• Plan and execute full-scoped red team engagements against Nebius cloud platform - including compute, storage, inference, networking, orchestration layers, and internal tooling. Identify threats, which are able to impact an organization's operations. Work closely with Detection & Response and other security engineering teams to run purple team exercises, validate detection coverage, and close gaps collaboratively.

• Research novel attacks against GPU infrastructure (e.g., closed-source firmware and vendor driver binaries, device passthrough exploits, SR-IOV/IOMMU misconfigurations, RDMA/InfiniBand fabric attacks, etc.), the inference stack (e.g., vLLM, TRT-LLM), and AI platform managed services (e.g., managed Slurm). 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 both technical audiences and leadership - with prioritized findings and remediation guidance.

• Establish red team processes, tooling, and a methodology that scales as the platform grows.

What we’re looking for

• 6+ years in offensive security - penetration testing, red teaming, or adversary simulation

• Deep experience attacking cloud-native environments: Kubernetes privilege escalation, cloud IAM abuse, virtualization and container escapes.

• Strong fundamentals across the attack lifecycle: initial access, persistence, lateral movement, data exfiltration.

• Proficiency developing custom tooling and post-exploitation capabilities (Python, Go, or similar).

• Experience running purple team exercises and working constructively with blue teams.

• Ability to write clear, senior-level reports with business-contextualized risk (not just raw findings) that engineers can easily use.

Nice to have

• Experience attacking ML infrastructure, model serving pipelines, or GPU clusters.

• Reverse engineering and exploits 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 (hypervisor/networking layers).

• Presenting your security research at conferences like BlackHat/DefCon, etc.

Why this role at Nebius

• Attack surface that's genuinely novel - GPU clusters, AI platforms, multi-tenant cloud at scale.

• Work alongside world-class engineers on infrastructure that powers frontier AI.

• Competitive compensation with equity upside in a Nasdaq-listed, high-growth company.

• Flexible, remote-first culture

Hiring process

• Recruiter's chat (30mins)

• Live-coding interview (60mins) to asses basic coding skills

• Security interview (60mins) to asses domain expertise

• Security System Design interview (90mins) to assess practical experience

• (Optional) Technical deep dive (90mins) to present a complex and impact project.

• Final interview to close the hiring process (45mins)

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.