AI Embedded Software Developer

5 days ago

Alwar, Rajasthan, India beBeeEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Embedded Software Engineer

We are seeking an experienced software developer to join our team. This is a hands-on development role where you will design, implement and optimize embedded software solutions for AI/ML workloads on NVIDIA, Xilinx and Microchip platforms.

You will be responsible for building and maintaining Linux-based environments, writing integration libraries and enabling containerized deployment of applications on constrained edge devices.

This is a remote position requiring excellent technical communication to collaborate across global teams and partners.

Key Responsibilities:
  • Configure and manage Linux environments (Ubuntu and custom distributions), including kernel modules, system tuning, cross-compilation and deployment scripts.
  • Integrate ML models into embedded systems; collaborate with data science teams to enable deployment on resource-constrained hardware.
  • Work with C, C++ and Python to build and optimize drivers, OS-level services and low-level libraries for ML acceleration.
  • Develop, test and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency and compliance with partner requirements.
  • Manage and maintain Edge AI development kits (NVIDIA Jetson, Xilinx platforms etc.), ensuring smooth workflows for in-orbit simulation and testing.
  • Leverage CUDA, cuDNN, TensorRT (NVIDIA) and Vitis AI / OpenCL (Xilinx) to accelerate workloads.
  • Interface with satellite payload hardware and ground systems; debug integration issues across hardware, OS and application layers.
  • Develop pipelines for automated testing and deployment of embedded software builds.
  • Maintain clear documentation of configurations, workflows and deployment practices; support partners in deploying our dockerized products.
  • Git/GitHub, code review best practices and working in distributed development teams.
Requirements:
  • Bachelor's/Master's degree in Computer Engineering, Electrical Engineering, Computer Science or equivalent.
  • 3-8 years of 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.
  • Familiarity with edge AI/ML workloads, model deployment and performance optimization.
  • Strong debugging, problem-solving and communication skills.
  • Ability to work independently in a remote environment, coordinating across time zones.

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