Dataflow Development Engineer

Requirements:

• BS or higher degree or equivalent experience in CS/EE/CE with more than 5 years in FPGA development, hardware dataflow, or hardware/software co-design.
• Hands-on experience with RTL/HDL (Verilog, VHDL) or high-level synthesis (HLS); ability to build and debug dataflow-style pipelines in hardware.
• Solid programming abilities in C/C++ for host drivers, runtimes, or tooling; familiarity with hardware interfaces (e.g. PCIe, DMA, memory-mapped I/O).
• Proven understanding of dataflow and streaming concepts: pipelining, backpressure, buffering, and resource/area trade-offs.
• Familiarity with FPGA toolchains (synthesis, P&R, timing closure) and with Linux, scripting, and version control.
• Excellent communication in English; ability to work with distributed teams.

What you'll be doing:

• Build and implement dataflow pipelines and streaming architectures in FPGA or programmable logic.
• Develop host-side software, drivers, and runtimes that collaborate with FPGA and accelerator hardware (e.g. PCIe, DMA, VFIO).
• Partner with compiler and hardware groups to allocate dataflow graphs onto hardware resources; improve latency, processing efficiency, and area/utilization.
• Build and maintain hardware–software co-design flows: from high-level dataflow specs to synthesis, place-and-route, and validation.
• Build tooling and methodologies for debugging, profiling, and validating dataflow behavior in hardware; participate in design reviews and cross-team alignment across EMEA and globally.

Nice to haves:

• Experience working with FPGA dataflow for machine learning inference, networking, or high-throughput streaming (e.g. Xilinx/AMD, Intel FPGA).
• VFIO, SR-IOV, or other pass through/virtualization for accelerators; low-level driver or BSP development.
• ASIC or custom-silicon dataflow build; RTL develop for dataflow or network-on-chip (NoC).
• Background in compiler backends or HLS that targets FPGAs; MLIR or IR-level optimization for hardware mapping.
• Experience with multi-FPGA or FPGA–GPU systems; distributed dataflow across programmable logic and accelerators.

Perks and benefits:

• Join our team of world-class engineers at NVIDIA.
• Be part of groundbreaking work.
• Collaborative and inclusive environment.
• Opportunity to thrive and make a significant impact.