Edge AI Engineer

Jabil; Penang; On-site; MYR 90,000 - 120,000; Full time

Job summary

Jabil is seeking an AI/ML engineer to design and optimize edge AI models for resource-constrained devices in Penang, Malaysia. You will work with vision, audio, and motion data, selecting suitable edge platforms and ensuring integration with hardware teams.

Responsibilities include building efficient inferences, developing MLOps for CI/CD, and benchmarking performance while staying current with AI hardware trends.

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 focus on embedded systems or edge computing (e.g. Raspberry Pi).
• Proficiency in Python and C++ and hands-on experience with deep learning frameworks (TensorFlow Lite, PyTorch Mobile).
• Solid understanding of neural network architectures, computer vision, and NLP.
• Experience optimizing AI models for edge deployment (quantization, pruning, distillation).
• Familiarity with edge computing platforms and hardware accelerators (e.g. Hailo, NVIDIA Jetson, Google Coral).
• Experience with RTOS and embedded software development is a plus.

Responsibilities

• Design, develop, and optimize AI/ML models for deployment on resource-constrained edge devices.
• Implement efficient inference engines and real-time data processing pipelines at the edge.
• Work with sensor data (vision, audio, motion) to build robust AI applications.
• Collaborate with hardware engineers to select edge computing platforms and ensure integration.
• Optimize model performance for power, latency, and memory on target hardware.
• Develop MLOps for CI/CD and monitoring of edge AI models.
• Conduct performance benchmarking and validation of edge AI solutions.
• Stay updated on edge computing, AI hardware, and ML advances.
• Provide technical guidance to cross-functional teams.
• Document designs, architectures, and implementation details thoroughly.

Skills

Embedded systems

Edge computing

Python

C++

TensorFlow Lite

PyTorch Mobile

Education

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

Tools

TensorFlow Lite

PyTorch Mobile

HailoRT

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.