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Embedded Software Developer

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Thāne, Maharashtra, India beBeeDeveloper Full time ₹ 20,00,000 - ₹ 25,00,000
Unlock the Power of Space-Based Intelligence

We're reimagining how satellites process and deliver intelligence from orbit, specializing in satellite edge computing that enables real-time analysis, rapid decision-making, and reduced data downlink needs.

Our vision is to turn satellites into autonomous, intelligent systems that interpret data instantly. This capability unlocks critical advantages across defense, environmental monitoring, and global communications.

  • Shape the future of real-time satellite intelligence by working with cutting-edge Edge AI technology.
  • Develop innovative solutions for embedded platforms (NVIDIA, Xilinx, ARM, RISC-V) in one of the most exciting application areas: space-based AI/ML.
  • Collaborate with a team of ambitious engineers, scientists, and product leaders building breakthrough technology.

As an Embedded Software Engineer, you will design, implement, and optimize embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms. You will be directly responsible for building and maintaining Linux-based environments, writing integration libraries, and enabling containerized deployment of applications on constrained edge devices.

Key responsibilities include:

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

Requirements include:

  • 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.
  • Experience with NVIDIA Jetson, CUDA, TensorRT, and Xilinx Vitis AI / OpenCL.