AI/ML Solutions Architect

4 days ago

Tirupati, Andhra Pradesh, India beBeeEmbedded Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Immersive technologies require exceptional minds to bring them to life. At Little Place Labs, we’re not just developing AI/ML applications – we’re pioneering the future of edge computing and satellite intelligence.

We're looking for an Embedded Software Engineer with 3–6 years of experience who can shape the intersection of AI/ML, embedded systems, and containerized software delivery. This is a hands-on role where you'll design, implement, and optimize embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms.

About the Role
  • You'll be responsible for building and maintaining Linux-based environments, writing integration libraries, and enabling containerized deployment of applications on constrained edge devices.
  • Directly 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.

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 and 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.

Benefits & Opportunities:

  • Be at the cutting edge of Edge AI in space, shaping the future of real-time satellite intelligence.
  • Collaborate with a team of ambitious engineers, scientists, and product leaders building breakthrough technology.
  • Enjoy the flexibility of a remote-first culture while making a global impact.

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++, and Python.
  • Deep knowledge of Linux (system internals, drivers, kernel tuning).
  • Familiarity with Docker and containerized workflows.

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