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Senior Software Engineer - AI Systems Performance

DXC Luxoft

Nouveau Remote
Remote Senior 🇬🇧 English
C++ Python vLLM SGLang Llama.cpp SLURM Kubernetes GitHub Jenkins CI/CD

Description du poste

About the role

A leading semiconductor and high-performance computing company is looking for a Senior Software Engineer focused on distributed AI inference on GPUs and on improving the performance of key applications and benchmarks. The role is remote and based in Serbia, within a core team of industry specialists working with the latest hardware and software.

Key responsibilities

  • Enable and benchmark AI models on large-scale distributed systems to evaluate performance, accuracy and scalability.
  • Optimize AI workloads across scale-up (multi-GPU), scale-out (multi-node) and scale-across configurations.
  • Work with internal GPU library teams to analyze and optimize distributed workloads for high throughput and low latency.
  • Develop and apply parallelization strategies for AI workloads.
  • Contribute to distributed model management systems, model zoos, monitoring frameworks, benchmarking pipelines and technical documentation.
  • Build and maintain real-time dashboards reporting performance, accuracy and reliability metrics.

Required profile

  • Strong C++ and Python development skills, with experience solving performance issues and investigating scalability on multi-GPU, multi-node clusters.
  • Passion for quality assurance, benchmarking and automation in the AI/ML space.
  • Thrives in both collaborative and independent environments, with strong problem-solving skills and ownership of goals and results.

Required skills

  • PREFERRED: hands-on experience with AI inference or serving frameworks such as vLLM, SGLang and Llama.cpp.
  • Understanding of KV cache transfer mechanisms (e.g. Mooncake, NIXL/RIXL) and expert parallelization (e.g. DeepEP, MORI, PPLX-Garden).
  • Experience running AI workloads on large-scale, heterogeneous compute clusters.
  • Familiarity with cluster management and orchestration platforms such as SLURM and Kubernetes.
  • Experience with GitHub, Jenkins or similar CI/CD tools.
  • Nice to have: a Master's or PhD in Computer Science or a related field, or equivalent practical experience; English at C1 Advanced level.

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