Embedded AI Developer

2 days ago

Vizag, Andhra Pradesh, India beBeeEmbedded Full time ₹ 12,00,000 - ₹ 18,00,000

Unlock the Power of Edge AI in Space

At our organization, we are reimagining how satellites process and deliver intelligence from orbit. As an Embedded Software Engineer, you will be at the forefront of developing advanced solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs.

We believe that with passion, purpose, risk taking, and willingness to learn, we can make a positive impact on the world. Our team works on solving complex challenges in earth observation, space situational awareness, and autonomous satellite operations.

About the Role

  • You will design, implement, and optimize embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms.
  • You will work with modern embedded platforms, collaborating with a team of ambitious engineers, scientists, and product leaders building breakthrough technology.
  • Enjoy the flexibility of a remote-first culture while making a global impact.

Key Responsibilities

  1. LINUX EXPERTISE: Configure and manage Linux environments (Ubuntu and custom distributions), including kernel modules, system tuning, cross-compilation, and deployment scripts.
  2. 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.
  3. LOW-LEVEL ENGINEERING: Work with C, C++, and Python to build and optimize drivers, OS-level services, and low-level libraries for ML acceleration.
  4. CONTAINERIZATION: Develop, test, and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency, and compliance with partner requirements.

Requirements

  • 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.
  • Deep knowledge of Linux (system internals, drivers, kernel tuning).
  • Proven experience with Docker and containerized workflows.

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