Edge AI/ML Software Developer

2 days ago

Kottayam, Kerala, India beBeeEmbeddedSoftwareEngineer Full time US$ 1,50,000 - US$ 2,00,000

We are seeking an exceptional Embedded Software Engineer to join our team. The successful candidate will have a passion for working at the cutting edge of Edge AI in space, shaping the future of real-time satellite intelligence.

This is a hands-on software development role where you will design, implement, and optimize embedded software solutions for AI/ML workloads on NVIDIA, Xilinx and Microchip platforms.

  • Configure and manage Linux environments (Ubuntu and custom distributions), including kernel modules, system tuning, cross-compilation, and deployment scripts.
  • Integrate ML models into embedded systems; collaborate with Data Science teams to enable deployment on resource-constrained hardware.
  • Work with C, C++, and Python to build and optimize drivers, OS-level services, and low-level libraries for ML acceleration.
  • Develop, test, and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency, and compliance with partner satellite company requirements.

The ideal candidate will have 3–8 years of hands-on experience in embedded software development, with a strong background in Linux, C, C++ and Python programming languages.

The successful candidate will be able to work independently in a remote-first environment, coordinating across time zones.

The position offers a unique opportunity to make a significant impact on the development of edge AI/ML solutions for space-based applications.

The key responsibilities of this role include:

  • LINUX EXPERTISE: Configure and manage Linux environments (Ubuntu and custom distributions), including kernel modules, system tuning, cross-compilation, and deployment scripts.
  • Ai/ml OPTIMIZATION AND TESTING ON THE EDGE: Integrate ML models into embedded systems; collaborate with Data Science teams to enable deployment on resource-constrained hardware.
  • LOW-LEVEL ENGINEERING: Work with C, C++, and Python to build and optimize drivers, OS-level services, and low-level libraries for ML acceleration.
  • CONTAINERIZATION: Develop, test, and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency, and compliance with partner satellite company requirements.
BENEFITS

The position offers a competitive compensation package, comprehensive benefits, and opportunities for professional growth and development.

The successful candidate will have access to the latest technologies and tools, as well as training and support to ensure their success in this role.

REQUIREMENTS

To be considered for this role, the ideal candidate will have:

  • Bachelor's/Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent.
  • 3–8 years of hands-on experience in embedded software development.
  • Proficiency in C, C++, and Python programming languages.
  • Deep knowledge of Linux (system internals, drivers, kernel tuning).
  • Proven experience with Docker and containerized workflows.

We are committed to providing a diverse and inclusive work environment that values creativity, innovation, and collaboration.

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