Advanced AI/ML Embedded Software Engineer Position

11 hours ago

Mangalore, Karnataka, India beBeeEmbedded Full time ₹ 1,57,82,200 - ₹ 2,45,21,700
Job Opportunity: Embedded AI/ML Software Expert

We are seeking a seasoned software engineer to contribute to the development of cutting-edge solutions that process data directly on board, enabling real-time analysis and rapid decision-making.

  • Design, implement, and optimize embedded software solutions for AI/ML workloads on advanced platforms.
  • Configure and manage Linux environments, including kernel modules, system tuning, cross-compilation, and deployment scripts.

In this role, you will be responsible for building and maintaining Edge AI development kits, ensuring smooth workflows for in-orbit simulation and testing.

Skill Requirements:

  • Languages: Proficiency in C, C++, and Python.
  • Linux: Deep knowledge of Linux (system internals, drivers, kernel tuning).
  • Containerization: Proven experience with Docker and containerized workflows.
  • AI/ML Optimization: Familiarity with edge AI/ML workloads, model deployment, and performance optimization.
  • Hardware Acceleration: Experience with NVIDIA Jetson, CUDA, TensorRT, and Xilinx Vitis AI / OpenCL.
  • Communication Skills: Strong debugging, problem-solving, and communication skills.

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.

About the Role:

  • This is an opportunity to work independently in a remote-first environment, coordinating across time zones.

Your Responsibilities:

  • You will collaborate with Data Science teams to enable deployment on resource-constrained hardware.
  • You will develop pipelines for automated testing and deployment of embedded software builds.
  • You will maintain clear documentation of configurations, workflows, and deployment practices.
  • You will interface with satellite payload hardware and ground systems; debug integration issues across hardware, OS, and application layers.

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