
Edge AI Embedded Software Developer
24 hours ago
We are seeking a skilled Embedded Software Engineer to join our team in the development of cutting-edge edge AI solutions.
This is an exciting opportunity to work at the intersection of AI, embedded systems, and containerized software delivery. 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.
You will work under the guidance of our experienced engineers to develop innovative solutions that meet the requirements of our partners.
In this role, you will have the opportunity to:
- Design and implement embedded software solutions for AI/ML workloads
- Develop and optimize Dockerized applications for AI/ML workloads
- Collaborate with cross-functional teams to integrate AI/ML models into embedded systems
- Work with C, C++, and Python to build and optimize drivers, OS-level services, and low-level libraries for ML acceleration
To succeed 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
If you are a motivated and detail-oriented individual with a passion for edge AI, we encourage you to apply for this exciting opportunity.
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