Software Engineer – Lpu Hardware Dataflow

NVIDIA

Not specified (assumed flexible based on job description).
Real-time distributed compute frameworks
Deterministic low-overhead hardware abstractions
System-level programming with low-level optimizations
NVIDIA is seeking a Software Engineer specialized in LPU Hardware Dataflow to develop end-to-end hardware/software solutions for advanced AI applications. The ideal candidate will possess a strong background in computer architecture and system-level programming, focusing on optimizing performance for planet-scale inference systems

Job Summary

  • NVIDIA is redefining AI compute with groundbreaking work in hardware/software solutions.
  • The role involves building ultra-low-latency frameworks for planet-scale inference.
  • Ideal candidates are deeply curious about system internals and excel in optimizing systems.

Matching Summary

Match Score: 85

NVIDIA is seeking a Software Engineer specialized in LPU Hardware Dataflow to develop end-to-end hardware/software solutions for advanced AI applications. The ideal candidate will possess a strong background in computer architecture and system-level programming, focusing on optimizing performance for planet-scale inference systems.

Skills & Requirements

Must-have

  • real-time distributed compute frameworks
  • deterministic low-overhead hardware abstractions
  • system-level programming with low-level optimizations

Nice-to-have

  • experience with FPGA development
  • hands-on optimization of performance-critical applications
  • familiarity with ML frameworks

Key Requirements

  • MSc or higher degree in CS/EE/CE/Mathematics
  • minimum 2 years of relevant experience
  • commitment to automated testing and CI/CD pipelines

Work Rights

Not specified

Tailored Resume

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