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Architect and lead the software stack for Google's AI and HPC accelerator platforms (GPUs, TPUs), focusing on distributed systems, Linux OS internals, networking, and hardware bus integration (PCIe) for massive-scale data center deployment.
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations…
The Fullstack Developer builds and maintains Gen AI applications by developing ReactJS frontends and Python-based backend services. The role involves integrating LLMs, managing RAG pipelines, and deploying containerized solutions across major cloud platforms.
Full-stack developer building Laravel web apps, integrating ERP modules (WMS, E-Invoicing), and deploying AI solutions using Google Vertex AI and Gemini APIs, with PostgreSQL database management for a baking company.
Full Stack Developer building mobile apps with Flutter/Dart, backend services with Golang, and supporting AI/LLM integrations for a global connectivity and travel technology company.
Lead the end-to-end development of client-facing GenAI web applications in Brussels, integrating LLMs and orchestrating AI logic using Python and Next.js.
Lead a team building production-grade AI systems—from classical ML to LLM-powered agents—while shaping client solutions, pre-sales pitches, and team standards.
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owns data pipelines, and mentors junior scientists while ensuring production-readiness and business impact.
Designs and verifies complex ASICs for Google’s TPU hardware, focusing on AI/ML acceleration in data centers. Uses SystemVerilog/UVM to test digital logic, debug designs, and ensure functional correctness for next-gen data center accelerators.
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations…
Forward Deployed Engineer at Google Cloud who codes, debugs, and ships production-grade agentic AI solutions directly in customer environments using Vertex AI, Gemini models, Python, and RAG/vector-database architectures.
Silicon Validation Engineer on Google Cloud's AI/Infrastructure team, developing functional and performance models for ML IPs and Cloud TPU SoCs in C++, and deploying them into pre- and post-silicon validation flows.
The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facility Technicians at Google data centers operate, monitor and…
The Senior MLOps Engineer will build and scale enterprise-grade machine learning platforms on Google Cloud using Vertex AI and BigQuery. The role involves automating the full model lifecycle, from training to production deployment, while collaborating with data scientists and cloud engineers.
[zdalnie] Senior Data Engineer 🚀 Rozwijamy nasz zespół AI Data Engineering w DS STREAM! Poszukujemy Senior Data Engineera , który dołączy do naszego zespołu i będzie rozwijał nowoczesne rozwiązania oparte o chmurę…
Designs and leads enterprise-scale ML architectures on Google Cloud, focusing on Vertex AI and Gemini platforms to transition models from experimentation to production while ensuring scalability, security, and efficiency for cross-functional teams.
Develop embedded firmware and low-level tools for SoC validation, working closely with hardware teams to enable silicon bring-up and debugging at scale.
Software Engineer III on Google Threat Intelligence building AI-driven security solutions—LLM-based threat analysis, automated malware analysis, and intelligent query processing—using Python/Go and Vertex AI on Google Cloud.
Design and verify timing for Google’s TPU chips, ensuring high-performance AI hardware meets sign-off requirements and architectural goals.
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