Top Tech Jobs & Startup Jobs in Dublin

Own end-to-end product for a slice of Nebius AI compute platform: define strategy, APIs, and roadmaps; drive cross-team delivery; conduct structured discovery; measure adoption and platform outcomes; engage engineering as a technical peer; and close operational feedback loops to improve reliability and customer experience.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Research and engineer large multimodal and reinforcement-learning models for robotic agents: design, train, evaluate models; prototype in simulation and on hardware; build data pipelines, simulation environments, and distributed training infrastructure; collaborate to scale promising approaches into production and publish results.

Design and build research prototypes and production-capable systems to enable portable, interoperable agent and model workflows. Develop model routing, provider abstractions, memory and context representations, benchmarking suites, and evaluation protocols. Run ML experiments, implement robust APIs and integration layers, collaborate across research and engineering, and communicate results via reports, demos, publications, and open-source releases.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

Lead and build Nebius' Detection & Response capability: design detections, achieve MITRE coverage, run incident response and forensics, integrate threat intelligence, build D&R tooling and SOAR workflows, and manage cross-functional stakeholders and metrics (MTTD/MTTR). Hire, mentor, and scale a team and on-call program.

Build and operate the network platform: set SLIs/SLOs, drive reliability improvements, own incident response and postmortems, develop observability and safer change workflows, automate operations, and collaborate with network and platform teams to embed operability.

Build and maintain services and tooling to automate and secure network lifecycle across data centers. Implement CI/CD, staged rollouts, drift detection, observability pipelines, and APIs that integrate network source-of-truth with the cloud platform. Collaborate with network engineers and SREs to turn operational pain into production-grade automation and tooling.

Design and implement large-scale browser-based rendering infrastructure to execute and extract structured content from JS-heavy web apps. Improve rendering quality, performance, cost, and throughput at internet scale and productionize rendering research.

Build browser infrastructure and tooling to provide reliable, large-scale web access for an agent-native search platform. Research website-browser interactions, fingerprinting, client verification, and browser networking. Implement instrumentation, observability, debugging tools, and translate findings into production systems at internet scale.