Embedded AI Software Architect

2 days ago

Kannur, Kerala, India beBeeEmbedded Full time ₹ 1,54,50,000 - ₹ 2,21,50,000

Unlock the Power of Edge AI

We are reimagining how satellites process and deliver intelligence from orbit. As an Embedded Software Engineer, you will play a crucial role in shaping the future of real-time satellite intelligence.

You will work with modern 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.

About the Role:

  • 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.
  • EMBEDDED SYSTEMS OWNERSHIP: Manage and maintain Edge AI development kits (NVIDIA Jetson, Xilinx platforms, etc.), ensuring smooth workflows for in-orbit simulation and testing.
  • HARDWARE ACCELERATION: Leverage CUDA, cuDNN, TensorRT (NVIDIA) and Vitis AI / OpenCL (Xilinx) to accelerate workloads.
  • SYSTEMS INTEGRATION: Interface with satellite payload hardware and ground systems; debug integration issues across hardware, OS, and application layers.
  • Ci/Cd FOR EDGE: Develop pipelines for automated testing and deployment of embedded software builds.
  • DOCUMENTATION & SUPPORT: Maintain clear documentation of configurations, workflows, and deployment practices; support partner satellite companies in deploying our dockerized products.
  • VERSION CONTROL & COLLABORATION: Git/GitHub, code review best practices, and working in distributed development teams.

This is a unique opportunity to be part of a pioneering project, driving innovation in space-based AI and ML.

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