Edge AI Engineer
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on May 12, 2026. Jabil scores B on the Alion truth index.
Job Responsibilities**
* Design, develop, and optimize AI/ML models for deployment on resource-constrained edge devices (e.g., microcontrollers, specialized AI accelerators).
* Implement efficient inference engines and real-time data processing pipelines at the edge.
* Work with various sensor data (e.g., vision, audio, motion) to develop robust AI applications.
* Collaborate with hardware engineers to select appropriate edge computing platforms and ensure seamless integration of AI solutions.
* Optimize model performance for power consumption, latency, and memory footprint on target hardware.
* Develop and implement MLOps strategies for continuous integration, deployment, and monitoring of edge AI models.
* Conduct performance benchmarking and validation of edge AI solutions.
* Stay abreast of the latest advancements in edge computing, AI hardware, and machine learning algorithms.
* Provide technical guidance and support to cross-functional teams.
* Document designs, architectures, and implementation details thoroughly.
Job Qualifications**
* Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related quantitative field.
* 3+ years of experience in AI/ML development, with a strong focus on embedded systems or edge computing (e.g. Raspberry Pi)
* Proficiency in programming languages such as Python and C++.
* Hands-on experience with deep learning frameworks like TensorFlow Lite, PyTorch Mobile, HailoRT or similar.
* Solid understanding of neural network architectures, computer vision, and/or natural language processing.
* Experience with optimizing AI models for edge deployment (e.g., quantization, pruning, knowledge distillation).
* Familiarity with various edge computing platforms and hardware accelerators (e.g., Hailo, NVIDIA Jetson, Google Coral, specialized ASICs).
* Experience with real-time operating systems (RTOS) and embedded software development is a plus.
* Strong problem-solving skills and the ability to work independently and as part of a team.
* Excellent communication and interpersonal skills.
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