AI/ML Specialist

6 days ago

Gulbarga, Karnataka, India beBeeEmbeddedSoftwareEngineer Full time ₹ 47,50,000 - ₹ 95,00,000

We are seeking a highly skilled Embedded Software Engineer to join our team.

This role involves designing, implementing and optimizing embedded software solutions for AI/ML workloads on NVIDIA, Xilinx and Microchip platforms. The ideal candidate will have a strong background in Linux, C, C++ and Python, as well as experience with Docker and containerized workflows.

Responsibilities include:

  • Configuring and managing Linux environments (Ubuntu and custom distributions), including kernel modules, system tuning, cross-compilation and deployment scripts.
  • Integrating ML models into embedded systems and collaborating with Data Science teams to enable deployment on resource-constrained hardware.
  • Working with C, C++ and Python to build and optimize drivers, OS-level services and low-level libraries for ML acceleration.
  • Developing, testing and optimizing Dockerized applications for AI/ML workloads, ensuring portability, efficiency and compliance with partner satellite company requirements.
  • Managing and maintaining Edge AI development kits (NVIDIA Jetson, Xilinx platforms, etc.), ensuring smooth workflows for in-orbit simulation and testing.
  • Leveraging CUDA, cuDNN, TensorRT (NVIDIA) and Vitis AI / OpenCL (Xilinx) to accelerate workloads.
  • Interfacing with satellite payload hardware and ground systems; debugging integration issues across hardware, OS and application layers.
  • Developing pipelines for automated testing and deployment of embedded software builds.
  • Maintaining clear documentation of configurations, workflows and deployment practices; supporting partner satellite companies in deploying our dockerized products.
  • Working with Git/GitHub, code review best practices and distributed development teams.

Requirements:

  • 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++, Python and Linux (system internals, drivers, kernel tuning).
  • Proven experience with Docker and containerized workflows.
  • 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-first environment, coordinating across time zones.

We offer a competitive compensation package and the opportunity to work on exciting projects that can make a real difference. If you are passionate about AI/ML and embedded systems, we encourage you to apply.

We are an equal opportunities employer and welcome applications from diverse candidates. Please submit your resume and cover letter for consideration.

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