Dataflow Development Engineer - Lpu Hardware Dataflow

Nvidia Corporation

Multiple Locations
On-site
Fpga accelerator dataflow
Host-side drivers and runtimes
Hardware–software boundary
NVIDIA is seeking a Dataflow Development Engineer to enhance dataflow systems at the hardware-software boundary, focusing on FPGA accelerator dataflow. The role involves developing dataflow pipelines, creating drivers, and improving latency and efficiency in hardware execution

Job Summary

  • You will work on FPGA accelerator dataflow: implementing and tuning dataflow pipelines, creating host-side drivers and runtimes that collaborate with programmable logic, and jointly inventing hardware and software for deterministic, low-latency execution.
  • Your work directly affects latency, efficiency, and resource usage for inference at scale.
  • Join our team of world-class engineers and be part of the groundbreaking work we do at NVIDIA.

Matching Summary

Match Score: 85

NVIDIA is seeking a Dataflow Development Engineer to enhance dataflow systems at the hardware-software boundary, focusing on FPGA accelerator dataflow. The role involves developing dataflow pipelines, creating drivers, and improving latency and efficiency in hardware execution.

Skills & Requirements

Must-have

  • FPGA accelerator dataflow
  • host-side drivers and runtimes
  • hardware–software boundary
  • RTL to runtime development
  • dataflow and streaming concepts

Nice-to-have

  • machine learning inference
  • high-throughput streaming
  • multi-FPGA or FPGA–GPU systems
  • MLIR or IR-level optimization

Key Requirements

  • BS or higher degree or equivalent experience
  • more than 5 years in FPGA development
  • Hands-on experience with RTL/HDL (Verilog, VHDL) or HLS
  • Solid programming abilities in C/C++
  • Familiarity with FPGA toolchains and Linux

Work Rights

Not specified

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