Space Based AI Engineer

1 week ago

Cochin, Kerala, India beBeeSpaceBasedAIEngineer Full time US$ 1,50,000 - US$ 2,00,000
Job Description

We are seeking a highly skilled Space Based AI Engineer to join our team. This is an exciting opportunity to work on cutting-edge projects and be part of a dynamic and innovative environment.

Key Responsibilities:

  • Design, implement, and optimize embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms.
  • Develop and maintain Linux-based environments, 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.
  • 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.
  • Git/GitHub, code review best practices, and working in distributed development teams.

Required Skills and Qualifications

To be successful in this role, you will need:

  • 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).
  • 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

We offer a competitive salary and benefits package, as well as opportunities for career growth and professional development.

Others

We are an equal opportunity employer and welcome applicants from diverse backgrounds. We are committed to creating an inclusive and supportive work environment that allows individuals to thrive and contribute their best work.

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