AI/ML Innovations Developer

3 days ago

Kollam, Kerala, India beBeeEmbedded Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

We are seeking a highly 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.

You will be responsible for designing, implementing, and optimizing embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms. You will work under the guidance of our Head of Engineering and CTO, contributing to managing development kits and system integration, as well as actively developing the embedded software stack that powers our edge intelligence solutions in space.

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

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 satellite company 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 partner satellite companies in deploying our dockerized products.
  • Use Git/GitHub, code review best practices, and work in distributed development teams.
Required Skills and Qualifications

To be successful in this role, you will need to have:

  • 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.
  • 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.
Benefits

As a member of our team, you will enjoy:

  • Flexible working hours and a remote-first culture.
  • The opportunity to work with modern embedded platforms and cutting-edge technology.
  • A collaborative and dynamic work environment.
  • Professional growth and development opportunities.
  • Competitive compensation and benefits package.
Others

At Little Place Labs, we are committed to creating a diverse and inclusive workplace. We welcome applicants from all backgrounds and are proud to be an equal opportunity employer.

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