Embedded Linux Software Engineer

Position Overview

We are seeking a highly skilled and motivated Embedded Linux Software . In this role, you will play a critical part in system configuration, board bringup, driver development, and user-space application development.

The ideal candidate has approximately 5 years of hands-on experience working deep within the

Linux stack—from bootloaders and kernel configuration to writing custom device drivers and

system-level applications. You will work closely with hardware, utilizing low-level protocols, and

ensuring robust system initialization and networking capabilities. Experience with NXP i.MX

processors, Nvidia’s Jetson ecosystem, and AI-assisted development tools is highly valued.

Key Responsibilities

• System Customization & Bring-up: Configure and optimize Linux kernels and customize

device trees for proprietary hardware architectures, specifically targeting NXP and NVIDIA

application processors.

• Driver & BSP Development: Develop, modify, and debug Linux device drivers and system

services to interface with low-level peripherals.

• User-Space Engineering: Design, build, and maintain high-performance user-space

applications and system-level software.

• Bootloader Management: Configure and customize U-Boot, optimizing boot sequences

and utilizing network-booting (NFS) environments for rapid development cycles.

• Peripherals & Protocols: Interface and troubleshoot low-level buses and hardware

components (I2C, SPI, RTCs, Watchdogs, GPIOs, and IO Expanders).

• Network Integration: Configure and debug network interfaces across the physical, MAC,

and IP layers to ensure reliable device connectivity.

• Automation & Tools: Write scripts (Bash, Python, etc.) to automate testing, build pipelines,

and system configurations.

• Modern Development Workflows: Seamlessly integrate AI development tools into your

coding, testing, and debugging workflow to drive efficiency

Required Skills & Qualifications

Core Linux System Engineering & Hardware Architectures:

• Processor Platforms: Solid, hands-on development experience with the NXP i.MX6 and

i.MX9 CPU/processor families (including architecture-specific board bring-up, BSP

configuration, and optimization).

• Kernel & Device Trees: Strong experience in Linux kernel configuration, compilation, and

custom Device Tree modification.

• Device Drivers: Solid experience writing, debugging, and maintaining Linux

character/block device drivers.

• User-Space Development: Extensive experience developing system utilities and

applications in user-space (C/C++ preferred).

• Bootloaders: Practical experience working with U-Boot, including configuring boot

arguments and booting Linux over the network via NFS.

• Networking Stack: Practical understanding of the networking stack, with focused

experience at the MAC and IP layers.

Hardware & Low-Level Interfaces

• Deep familiarity with low-level peripheral buses and components:

I2C & SPI communication protocols.

System Watchdogs and Real-Time Clocks (RTC).

GPIO configuration and IO Expanders.

• Proficient use of standard Linux debugging tools, oscilloscopes, logic analyzers, and

hardware debugging probes.

Scripting, Build, & Methodology

• Scripting: Proficient in Bash or other scripting languages (e.g., Python) for system

automation, diagnostics, and testing.

• AI Tool Integration: Proven ability to leverage AI-assisted tools (e.g., GitHub Copilot,

ChatGPT, or LLM-based coding assistants) to accelerate development, refactor code, and

troubleshoot system anomalies.

• General Tools: Comfortable working in standard Linux environments with deep knowledge

of debugging facilities (gdb, strace, valgrind, dmesg, journalctl).

Preferred Skills & Key Advantages

Candidates possessing hands-on experience with the NVIDIA Jetson platform will be highly

prioritized:

Linux for Tegra (L4T): Experience configuring Tegra-specific BSPs, configuring

peripherals (GPIOs, SPI, etc.) on Jetson platforms.

NVIDIA JetPack: In-depth knowledge of the JetPack SDK and its underlying developer

tools.

NVIDIA Jetson Orin Nano: Direct hardware experience working with the Jetson Orin Nano

module for edge-AI processing.

MIPI Camera Integration: Experience configuring and integrating MIPI CSI-2 cameras,

including V4L2 drivers, GStreamer pipelines, or ISP tuning.

How to Apply

Please submit your resume along with a brief summary highlighting your experience with:

1. Custom kernel and device tree configuration.

2. Experience working with NXP i.MX6 / i.MX9 or NVIDIA Jetson platforms.

3. Your familiarity with hardware bring-up and debugging low-level protocols (I2C, SPI, etc.).

The role is Hybrid , office loction -Netanya