🚀 Senior Software Engineer (AI Systems Performance) | Remote (Brazil)
Luxoft
**Location:** Brazil (Remote) **Contract Type:** **CLT Only** *(Luxoft operates exclusively under CLT in Brazil)* **Language Requirement:** **Advanced / Fluent English** *(Please submit your CV in English)* 🌟 About the Role \& Project Are you passionate about high\-performance computing, distributed inferencing on GPUs, and pushing the boundaries of AI hardware and software? We are partnering with a world\-leading **semiconductor and high\-performance computing (HPC) company** to tackle complex performance and scalability challenges in distributed AI systems. As a **Senior Software Engineer** , you will join a core team of elite industry specialists working with state\-of\-the\-art hardware and software technologies to benchmark, debug, and optimize cutting\-edge AI workloads on multi\-GPU and multi\-node clusters. 🎯 Key Responsibilities * **Distributed AI Enablement \& Benchmarking:** Enable and benchmark AI models on large\-scale distributed systems to evaluate performance, accuracy, and scalability. * **Scalable Systems Optimization:** Optimize AI workloads across scale\-up (multi\-GPU), scale\-out (multi\-node), and scale\-across distributed system configurations. * **Cross\-Team Collaboration:** Partner closely with internal GPU library teams to analyze and optimize distributed workloads for high throughput and ultra\-low latency. * **Parallelization Strategies:** Develop and apply optimal parallelization strategies for AI workloads to achieve best\-in\-class performance across diverse hardware topologies. * **Model Infrastructure \& Management:** Contribute to distributed model management systems, model zoos, monitoring frameworks, benchmarking pipelines, and technical documentation. * **Performance Monitoring \& Visualization:** Build and maintain real\-time dashboards reporting performance, accuracy, and reliability metrics for internal stakeholders and external users. ✅ Mandatory Skills \& Qualifications * **AI Framework Engineering:** Hands\-on experience with AI inference or serving frameworks such as vLLM, SGLang, and Llama.cpp. * **KV Cache and Expert Parallelization:** Understanding KV cache transfer mechanisms and technologies (e.g., Mooncake, NIXL/RIXL) and expert parallelization approaches (e.g., DeepEP, MORI, PPLX\-Garden). * **Programming and Software Design:** Strong C/C\+\+ and Python skills, with experience in software design, debugging, performance analysis, and test development. * **Large\-Scale Distributed Systems:** Experience running AI workloads on large\-scale, heterogeneous compute clusters. * **Cluster and Orchestration Systems:** Familiarity with cluster management and orchestration platforms such as SLURM and Kubernetes (K8s). * **Development Tools and Workflows:** Experience with GitHub, Jenkins, or similar CI/CD tools and modern development workflows. 📄 Application Requirements * **Contract Model:** **CLT Only** (Exclusive Luxoft Brazil employment model). * **Resume:** Candidates **must apply with an English CV** to be considered for client screening. 📩 Ready to Drive Next\-Gen AI Performance? Apply today or connect directly to learn how you can shape the future of GPU\-accelerated distributed inference!