Embedded AI/ML Software Developer

This is an exceptional opportunity to join a team of passionate space enthusiasts working on cutting-edge satellite edge computing technologies. As an Embedded AI/ML Software Developer, you will play a crucial role in designing, implementing, and optimizing embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms.

You will be responsible for building and maintaining Linux-based environments, writing integration libraries, and enabling containerized deployment of applications on constrained edge devices. Your expertise in low-level engineering, debugging, and problem-solving skills will be invaluable in ensuring the smooth operation and maintenance of our edge AI development kits.

To succeed in this role, you must have a strong foundation in C, C++, and Python programming languages, as well as deep knowledge of Linux system internals, drivers, and kernel tuning. Proven experience with Docker and containerized workflows is also essential.

We are looking for a self-motivated and independent individual who can work effectively in a remote-first environment, coordinating across time zones. If you are passionate about AI/ML, embedded systems, and satellite edge computing, we encourage you to apply for this exciting opportunity.

Key Responsibilities:

• Design and implement embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms
• Build and maintain Linux-based environments, including kernel modules, system tuning, cross-compilation, and deployment scripts
• Develop and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency, and compliance with partner satellite company requirements
• Maintain and optimize Edge AI development kits, 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

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 programming languages
• Deep knowledge of Linux system internals, drivers, and 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

About Us:

We are a team of passionate space enthusiasts working on cutting-edge satellite edge computing technologies. Our vision is to turn satellites into autonomous, intelligent systems that don't just capture data, but interpret it instantly. This capability unlocks critical advantages across defense, environmental monitoring, and global communications.

Benefits:

• Opportunity to work on cutting-edge satellite edge computing technologies
• Collaborative and dynamic work environment
• Remote-first work arrangement, allowing for flexibility and work-life balance
• Professional growth and development opportunities

Equal Opportunity Employer:

We are an equal opportunity employer and welcome applications from diverse candidates. We are committed to creating an inclusive and supportive work environment where everyone has the opportunity to thrive.