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6 days ago
We are seeking a highly skilled Embedded AI/ML Software Engineer to join our team. As an expert in Edge AI, you will be responsible for designing, implementing, and optimizing embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms.
Key Responsibilities:- Design and implement efficient embedded software solutions for AI/ML workloads.
- Configure and manage Linux 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.
- Develop and optimize drivers, OS-level services, and low-level libraries for ML acceleration using C, C++, and Python.
- 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.
- Rapid delivery of reliable, efficient Dockerized builds to partner satellites.
- Smooth operation and maintenance of NVIDIA/Xilinx dev kits for AI/ML use cases.
- Improved latency and efficiency of ML models on embedded devices.
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