AI Intern
Nava · Bangalore · Fresher
🚀 Nava – Summer Internship 2026AI Infrastructure: GPUaaS & Inference Systems📌 OverviewWe are hiring highly motivated interns to work on next-generation AI infrastructure, focusing on GPU-as-a-Service (GPUaaS) and large-scale inference systems.This is a systems-heavy role where you will design, build, and optimize infrastructure that powers real-world AI applications at scale.📍 LocationBangalore (In-person)⏳ Duration2 – 6 Months💰 Stipend₹60,000 – ₹80,000 per month🎓 EligibilityB.Tech / M.Tech / MS studentsBranches: CS / IT / ECE / EE or relatedBatch: 2026, 2027, 2028🔥 PPO OpportunityTop-performing interns will be offered a Pre-Placement Offer (PPO).🛠️ What You’ll Work OnBuild and scale GPU infrastructure (GPUaaS) for AI workloadsDesign distributed systems for high availability and performanceDevelop and optimize model serving & inference pipelinesWork on Kubernetes-based orchestration for scalable deploymentsImprove system performance, monitoring, and resource utilizationHandle real-world challenges in latency, throughput, and scaling💻 Tech Stack / ToolsLanguages: Python, C++, Go (any one or more)Infrastructure: Kubernetes, DockerAI/ML Serving: Triton Inference Server, PyTorchSystems: Linux, Networking basicsTools: Redis, Prometheus, gRPC (good to have)✅ RequirementsStrong understanding of Data Structures & AlgorithmsGood grasp of Operating Systems & Computer NetworksInterest in systems engineering, backend, or infrastructureFamiliarity with Linux & command line toolsBasic knowledge of containers / Docker / Kubernetes (preferred)Ability to learn fast and build at scale🌟 Preferred Qualifications (Nice to Have)Experience with distributed systems or backend projectsContributions to open-source projectsPrior exposure to ML systems / model deploymentUnderstanding of GPU computing (CUDA basics is a plus)🎯 Who Should Apply?Students passionate about systems + AI infrastructureBuilders who enjoy solving real-world scalability problemsCandidates aiming for high-impact engineering roles
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