Jetson Embedded Linux Driver Engineer for Vision Systems

Green Key Resources; Austin (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Green Key Resources is seeking an Embedded Software Engineer to develop Linux kernel drivers for Jetson-based platforms and to configure embedded Linux environments for high-performance computer vision and real-time control applications.

The role involves collaborating with hardware and computer vision teams, optimizing real-time performance, and bringing up embedded hardware with a strong emphasis on driver development and low-level software integration.

Qualifications

• 3+ years of embedded Linux software development experience.
• Strong experience with Linux kernel configuration and driver development.
• Proficiency in C/C++ and scripting (Python or Bash).
• Experience with PCIe, FPGA-based hardware, Ethernet, USB, and MIPI interfaces.

Responsibilities

• Develop Linux kernel drivers for Jetson-based platforms, including Ethernet, USB, and MIPI camera interfaces.
• Design drivers for PCIe devices, FPGAs, and custom peripherals.
• Configure and optimize embedded Linux distributions for performance and reliability.
• Collaborate with hardware and computer vision teams to integrate sensors and embedded hardware.
• Debug low-level system issues, optimize real-time performance, and support hardware bring-up.
• Document driver implementations, hardware interfaces, and system configurations.

Skills

C/C++ programming

Python scripting

Bash scripting

Embedded Linux

Linux driver development

Real-time systems

Education

Bachelor's degree in Computer Engineering/CS/EE

Master's degree in related field

Tools

PCIe

FPGA-based hardware

Ethernet

USB

MIPI interfaces

Job description

Green Key Resources is seeking an Embedded Software Engineer to develop Linux kernel drivers for Jetson-based platforms and to configure embedded Linux environments for high-performance computer vision and real-time control applications.

The role involves collaborating with hardware and computer vision teams, optimizing real-time performance, and bringing up embedded hardware with a strong emphasis on driver development and low-level software integration.