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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Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, or any other characteristic protected by law.

Accommodation Statement

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