Edge AI Engineer

jabil; George Town; On-site; MYR 120,000 - 240,000; Full time

Job summary

Jabil is a global company seeking an experienced Edge AI Engineer to design and deploy AI/ML models for resource-constrained devices, collaborating with hardware teams to optimize performance, power, and memory on platforms like Raspberry Pi and Jetson.

You will implement efficient inference engines, develop MLOps for CI/CD of edge models, stay abreast of AI hardware advances, and mentor cross-functional teams through design documentation and testing.

Qualifications

• Experience designing and deploying AI/ML models on edge devices.
• Knowledge of quantization, pruning, or distillation for edge deployment.
• Experience with embedded systems and RTOS is a plus.

Responsibilities

• Design, develop, and optimize AI/ML models for edge devices.
• Implement efficient inference engines for real-time data processing.
• Work with sensor data to build robust AI applications.
• Collaborate with hardware engineers to select edge platforms.
• Optimize models for power, latency, and memory on target hardware.
• Develop MLOps strategies for CI/CD and monitoring.
• Conduct performance benchmarking and validation.
• Stay updated on edge AI hardware and ML advances.
• Provide technical guidance to cross-functional teams.
• Document designs and implementation details clearly.

Skills

Python

C++

Embedded systems

Edge computing

Education

Bachelor's or Master's degree in Computer Science / Electrical Engineering / Robotics

Tools

TensorFlow Lite

PyTorch Mobile

HailoRT

RTOS

Job description

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.

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.

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

Accessibility Accommodation

If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to [e-mail] with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.