Space Onboard Image Processing Engineer - FPGA/AI

Indra Group; Tres Cantos; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Open and transparent environment

Continuous learning: Open University /

Udemy for Business

Job summary

Indra Group is seeking an On-board Image Processing Engineer to design, develop, test, and verify onboard image processing solutions for space applications in Madrid. You will work across Nvidia GPU, Myriad VPU, Xilinx FPGA, SoC, and MPSoC platforms and lead multidisciplinary teams.

The role requires a strong background in C, C++, Python, VHDL and experience with OpenCV, CUDA, Vivado, Vitis, and TensorFlow, plus professional English proficiency.

Qualifications

• Bachelor's degree in a related engineering field.
• Minimum 10 years of software and FPGA engineering experience.
• Experience implementing image processing or neural networks on Nvidia GPU / Myriad / Xilinx FPGA / SoC / MPSoC.
• Strong programming skills in C, C++, Python, and VHDL.
• Knowledge of development and configuration tools (Git, OpenCV, CUDA, Vivado, Vitis, TensorFlow).
• Professional level of English.

Responsibilities

• Design, develop, test, and verify onboard image processing solutions for space applications.
• Implement image processing and neural network algorithms on target hardware platforms.
• Generate engineering documentation and software design reports.
• Lead technical activities and coordinate multidisciplinary teams.
• Collaborate with national and international stakeholders on space/defense projects.

Skills

Image processing

FPGA engineering

Embedded hardware

Neural networks

C/C++

Python

VHDL

Git

OpenCV

CUDA

Vivado

Vitis

TensorFlow

English (professional)

Education

Bachelor's degree in Computer Engineering

Bachelor's degree in Electronics Engineering

Bachelor's degree in Telecommunications Engineering

Tools

Git

OpenCV

CUDA

Vivado

Vitis

TensorFlow

Job description

Indra Group is seeking an On-board Image Processing Engineer to design, develop, test, and verify onboard image processing solutions for space applications in Madrid. You will work across Nvidia GPU, Myriad VPU, Xilinx FPGA, SoC, and MPSoC platforms and lead multidisciplinary teams.

The role requires a strong background in C, C++, Python, VHDL and experience with OpenCV, CUDA, Vivado, Vitis, and TensorFlow, plus professional English proficiency.