🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Meet The Team The team specialises in delivering high-impact Proof of Concepts (PoCs) for AI-driven and massively scalable data-centre solutions. We work directly with customers to understand sophisticated requirements and architectures, taking full ownership of system configuration and end-to-end PoC execution. In these engagements, we rigorously analyse any convergence related test case that doesn'tencouragedpected result drilling deep into protocols, system behaviour, and configuration to identify and resolve performance gaps. This enables us to deliver actionable optimisation insights, fine-tuning recommendations build mentorship guidance that achieve lower convergence, low laten outstanding superior performance. We perform root-cause analysis to ensure reliability and repeatable results, and collaborate closely with development engineering teams to supervise and resolve improvement improvementt requests, ensuring production-ready outcomes. Your Impact Work with cutting-edge 400G/800G Ethernet fabrics used in AI and GPU data centers. Gain exposure to IP routed and VxLAN fabric and the full NVMeoF stack, from Linux kernel tuning to RoCEv2 fabric automation. Hands-on lab workplace involving both software-based and hardware-based testing. Collaborate with senior architects to compose next-generation lossless Ethernet builds for AI workloads Configure and validate Linux/Ubuntu servers for RoCEv2 and NVMeoF traffic generation using 400G NICs. Perform system-level tuning including kernel parameters, sysctl, IRQ affinity, NUMA, hugepages, and NIC offloads to optimize RDMA performance. Execute NVMeoF traffic tests using software tools (e.g.,IB Perf) and hardware traffic generators (Spirent). Capture and analyze fabric metrics such as latency, throughput, packet loss, and congestion response. Collaborate with infrastructure teams to ensure lossless Ethernet behavior using PFC and ECN. Configure and validate BGP EVPN/VxLAN-based fabrics for IP-routed data center connec .
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.