Edge AI Software Developer

2 days ago

Salem, Tamil Nadu, India beBeeEmbedded Full time US$ 1,25,000 - US$ 1,75,000
Job Opportunity

We are looking for a skilled Embedded Software Engineer to join our team. This is an exciting opportunity to work at the cutting edge of Edge AI in space, shaping the future of real-time satellite intelligence.

The ideal candidate will have 3-6 years of experience in embedded software development and a strong background in Linux, C, C++, and Python. They will be proficient in Docker and containerized workflows, with experience working with NVIDIA Jetson, CUDA, TensorRT, and Xilinx Vitis AI / OpenCL.

This is a remote-first position, requiring excellent technical communication to collaborate across global teams and partner satellite operators.

Key Responsibilities:
  • 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.
Required Skills and Qualifications:
  • 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.
Benefits:
  • Reliable, efficient Dockerized builds delivered to partner satellites.
  • Smooth operation and maintenance of NVIDIA/Xilinx dev kits for AI/ML use cases.
  • Reduced latency and improved efficiency of ML models on embedded devices.
Others:
  • Strong debugging, problem-solving, and communication skills.
  • Ability to work independently in a remote-first environment, coordinating across time zones.

We are committed to creating a diverse and inclusive workplace and welcome applicants from all backgrounds.

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