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Description & Requirements Who we are looking for 🚀We're looking for an AI Platform Architect & Engineer who enjoys solving complex infrastructure challenges and wants to build large-scale AI platforms using the latest technologies. You'll work across the full platform stack—from infrastructure and networking to AI platform software—designing and implementing GPU platforms that deliver maximum performance for AI workloads. 🏆 As a multiple-time NVIDIA Consulting Partner of the Year (EMEA) , you'll collaborate closely with NVIDIA engineering teams , gain early access to new technologies, and work on projects at a scale few engineers experience. This role is ideal for someone with 5–8 years of experience in platform engineering or infrastructure architecture who has solid hands-on skills, enjoys client interactions, and is ready to take on more complex AI infrastructure projects. 💡 What we'd like to see: 5–8 years of hands-on experience in platform, systems, or infrastructure engineering Strong understanding of Linux, networking, Kubernetes or Slurm, monitoring, and Infrastructure as Code Experience with AI platforms, MLOps , and large-scale infrastructure Knowledge of high-performance networking (InfiniBand, RDMA, RoCE, or similar) Comfortable working with servers, switches, and data centre environments Ability to participate in technical discussions with both colleagues and clients EU work permit ⭐ Nice to have: Experience with NVIDIA AI technologies Knowledge of NCCL , DCGM , iperf3 , perftest , or ibdiagnet Experience with container networking Previous experience in a consulting or client-facing technical role Your future role 🚀Most platform engineers never get the chance to work at this scale. Here, the network is the platform—and you'll build AI infrastructure where every microsecond matters. Working alongside NVIDIA engineering teams , you'll design, deploy, and optimize high-performance GPU clusters powering the next generation of AI. Your responsibilities: ⚡ Design and build AI platform environments—from virtualization, operating systems, networking, and automation to Kubernetes, Slurm, and containers 🌐 Configure and optimize high-performance GPU networking (InfiniBand, RoCE, NVLink, NVSwitch, GPUDirect RDMA, NCCL) 📊 Monitor and improve platform health using tools like Prometheus, Grafana, and DCGM 🖥️ Own the platform architecture, ensuring both logical and physical infrastructure are designed and deployed to the highest standards 🏆Lead technical discussions with clients, translate business needs into platform designs, and support pre-sales activities 🚀 Drive projects end-to-end—from architecture and deployment to optimization and ongoing platform evolution. This is a unique opportunity to work on AI infrastructure at a scale that few engineers experience, while accelerating your growth through close collaboration with one of NVIDIA's strongest consulting partners in EMEA. What we offer Flexible working hours, Permanent employment or contract, Medical and health insurance, Multisport and other lifestyle benefits, Language courses, Friendly coworkers & team spirit, Multiple geographies and clients, Work for well-known brands, Exposure to trailblazing business and technology projects, A place in the first line of a digital transformation, Everyday opportunities to influence how and where we do our business, A development path to fit your needs. Selection process We kindly ask you to upload your CV in English. Shortlisted candidates will be contacted for the interviewing process. If your CV would be interesting for us there will be a few steps: Quick HR call or meeting; One or two HR and technical interviews with our colleagues from the respective team; Final decision. About Deloitte About the team Our Cloud Engineering teams design and deliver interesting cloud projects for clients in Poland and abroad in areas of cloud development, DevOps, integration, migration, data management, infrastructure and others. We help our clients to strategize, design and implement and migrate solutions with use of modern cloud technologies. Engineering | Deloitte Global
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.