科技職缺
職缺列表
ML Infrastructure Engineer
ML Infrastructure Engineer at Nebius benchmarking and profiling GPU platforms for deep learning/AI workloads, optimizing training and inference performance, and building internal tooling and dashboards. Core stack spans CUDA, ROCm, NCCL, PyTorch, JAX, Megatron-LM, TensorRT-LLM, Docker, and Kubernetes.
Offensive Security Lead
Lead and build Nebius' internal red team, designing adversarial simulations against their AI cloud platform — covering GPU infrastructure, Kubernetes, inference stacks, and multi-tenant isolation — and translating findings into security improvements via penetration testing and purple-team exercises.
Partner Solutions Architect
Partner Solutions Architect serving as the technical interface between Nebius AI Cloud and strategic technology partners (data platforms, MLOps vendors, AI frameworks, ISVs). Designs integrations, builds reference implementations, and drives joint customer success across GPU-accelerated AI/ML infrastructure.
People Systems Project Manager
Project manager leading HR systems implementations, integrations, and process improvements for an AI cloud infrastructure company. Partners with People Operations and HRBPs to optimize HRIS workflows, automations, and integrations using tools like Jira, Workday, HiBob, BambooHR, or SuccessFactors.
Physical Security Systems Technician - IT & Infrastructure
Hands-on technician installing, configuring, testing, and documenting physical security systems — CCTV, access control, VMS — across Nebius's European data center sites, with strong emphasis on Site Acceptance Testing and audit-ready documentation.
QA Engineer
Hands-on QA Engineer based on-site at ODM factories in Taiwan, ensuring server and rack hardware quality for Nebius's AI cloud platform. Day-to-day work blends hardware validation, manufacturing QA, root-cause debugging of GPU/power failures, and post-manufacturing test infrastructure using Jira, Confluence, and Grafana.
Security Analyst - Tier 3
Senior Tier 3 Security Analyst in Nebius's SOC leading complex, multi-stage investigations across endpoint, identity, cloud, and network domains. Uses EDR, SIEM, and Python/SQL/KQL for deep analysis, mentors junior analysts, and partners with security engineering and threat intel teams.
Security Architect
Security Architect designing secure architectures across corporate networks, cloud platforms, and hybrid environments for Nebius's AI cloud infrastructure. Drives Zero Trust, IAM, firewall, and cloud security controls while collaborating with IT, Infrastructure, DevOps, and Engineering teams.
Security Automation Engineer (SOAR)
Hands-on Security Automation Engineer building SOAR capabilities from scratch: designing incident-response automations, writing Python integrations across SIEM/EDR/cloud systems, and prototyping AI/LLM-agent workflows for next-gen SOC operations.
Security Solutions Engineer
Evaluate enterprise security tools through hands-on Proof-of-Concepts, vendor assessment, and market analysis for an AI cloud platform. Bridge customer security requirements with implementation using Python/Go, Kubernetes, AWS/Azure/GCP, and tools across CSPM/CNAPP, EDR/XDR, SIEM/SOAR, DLP, and IAM domains.
Senior Applied ML Engineer (Agentic Search)
Senior Applied ML Engineer at Nebius building agent-native search infrastructure for AI systems, designing and deploying ML models for retrieval, reranking, and indexing at production scale. Tech spans Python/Go/C++, deep learning, embeddings, transformers, and LLM-integrated retrieval systems.