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Senior System Software Engineer - Local AI

Nvidia·Pune

Pay not stated5–9 yrsFull-time

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About the role

The Local AI Inference team is seeking a Senior System Software Engineer to lead the development of robust system-level software and infrastructure for deploying, benchmarking, and qualifying high-quality AI applications and models across Linux and Windows systems powered by RTX and DGX-class GPUs.

What you'll do

  • Partner across organizations with benchmarking teams, inference teams, and AI application developers to define requirements, design
  • Build Git-based CI infrastructure for automated builds, integration testing, and regression detection across hardware platforms, operating systems
  • Develop model management services to download, version, cache, and synchronize checkpoints and dependencies for reproducible execution
  • Design databases, backend services, and data pipelines to store and query model metadata, benchmark results, system telemetry, and execution artifacts
  • Create dashboards and reports that help engineers compare inference configurations, identify regressions, and investigate performance bottlenecks

What you need

  • 5–9 years in software engineering
  • Git
  • SQL
  • Python
  • C++
  • C#
  • ETL
  • B.Tech or B.E. or B.Sc or BCA

Good to have

  • Grafana
  • Data modelling
  • PyTorch
  • Instrumentation
  • C
  • Deep learning

What you get

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