Senior Embedded Systems Engineer - ARM NEON & FPGA (Linux)

Machine Learning Technologies, LLC

Milpitas (CA)

In loco

USD 120.000 - 190.000

Tempo pieno

5 ore fa
Candidati tra i primi

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Descrizione del lavoro

Machine Learning Technologies, LLC seeks a skilled embedded software engineer to develop high-performance C/C++ applications on embedded Linux platforms in Milpitas, CA. You will optimize critical loops with ARM NEON, integrate with Xilinx MPSoC hardware, and build robust drivers and interfaces for data exchange with custom IP blocks.

The role requires deep knowledge of multi-threading, real-time scheduling, and Linux memory management, plus experience with cross-compilation toolchains, Vitis,

Competenze

  • Expert-level C for embedded Linux environments.
  • Strong experience with multi-threading and real-time scheduling.
  • Hands-on experience with ARM NEON SIMD intrinsics and optimization.
  • Demonstrated work with Xilinx Zynq UltraScale+ MPSoC/RFSoC platforms (PetaLinux).

Mansioni

  • Architect and implement high-performance, multi-threaded userspace apps for real-time streaming on embedded Linux.
  • Vectorize and optimize critical code paths using ARM NEON intrinsics/assembly.
  • Develop software interfaces with AXI DMA, memory-mapped registers, and Linux drivers for IP blocks.
  • Profile, tune performance, and provide well-documented hand-off materials.

Conoscenze

Embedded C
Multi-threading
ARM NEON
Xilinx SoC (Zynq MPSoC/RFSoC)
Hardware interfacing
Linux & DMA
GCC/Clang cross-compilation

Strumenti

GDB
Vivado/Vitis
CMake
Git

Descrizione del lavoro

Machine Learning Technologies, LLC seeks a skilled embedded software engineer to develop high-performance C/C++ applications on embedded Linux platforms in Milpitas, CA. You will optimize critical loops with ARM NEON, integrate with Xilinx MPSoC hardware, and build robust drivers and interfaces for data exchange with custom IP blocks.

The role requires deep knowledge of multi-threading, real-time scheduling, and Linux memory management, plus experience with cross-compilation toolchains, Vitis,

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