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5 days ago
We are seeking a highly skilled Embedded Software Engineer to join our team. As an Embedded Software Engineer, you will design, implement, and optimize embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms.
You will be directly responsible for building and maintaining Linux-based environments, writing integration libraries, and enabling containerized deployment of applications on constrained edge devices.
This is a hands-on software development role where you will collaborate with Data Science teams to enable deployment on resource-constrained hardware and leverage CUDA, cuDNN, TensorRT (NVIDIA) and Vitis AI / OpenCL (Xilinx) to accelerate workloads.
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.
- Manage and maintain Edge AI development kits (NVIDIA Jetson, Xilinx platforms, etc.), ensuring smooth workflows for in-orbit simulation and testing.
- 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.
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