
Advanced AI/ML Engineer for Edge Intelligence Solutions
23 hours ago
We are seeking an accomplished Embedded AI/ML Engineer to join our global team and drive the development of real-time satellite intelligence solutions. This role will be pivotal in shaping the future of edge computing, where you'll have the opportunity to work with cutting-edge technologies such as NVIDIA, Xilinx, and ARM.
About the Role
This is a full-time remote position that requires exceptional technical expertise, collaboration skills, and passion for innovation. As an Embedded AI/ML Engineer, you will design, implement, and optimize software solutions for AI/ML workloads on constrained edge devices. Your primary focus will be on developing and maintaining Linux-based environments, writing integration libraries, and enabling containerized deployment of applications on embedded systems.
Key Responsibilities
- Develop and maintain Linux-based environments (Ubuntu and custom distributions) including kernel modules, system tuning, cross-compilation, and deployment scripts.
- Collaborate with Data Science teams to integrate ML models into embedded systems and 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 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 supporting partner companies in deploying our dockerized products.
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).
- 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.
What We Offer
- Opportunity to work at the forefront of Edge AI in space.
- Collaborative, global team with diverse backgrounds and expertise.
- Flexible, remote-first work arrangement.
- Professional growth opportunities within a rapidly growing company.
- A competitive compensation package.
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