Expert Embedded AI Software Professional

6 days ago

Mangalore, Karnataka, India beBeeSoftware Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI/ML Software Expert

We seek a seasoned software professional to lead the development of AI/ML solutions for edge devices. As a key member of our engineering team, you will design and implement optimized software solutions for complex workloads on NVIDIA, Xilinx, and Microchip platforms.

Responsibilities:
  • Linux Expertise: Configure and manage Linux environments, 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 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 partners in deploying our products.
Requirements:
  • Bachelor's/Master's degree in Computer Science, Electrical Engineering, or equivalent.
  • 3–8 years of hands-on experience in 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.
SUCCESS METRICS
  • Reliable, efficient software builds delivered to partners.
  • Smooth operation and maintenance of NVIDIA/Xilinx dev kits for AI/ML use cases.
  • Improved efficiency of ML models on embedded devices.

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