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.
BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact your local police department. Any scam job listings should be reported to whatever website it was posted in.
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 [email protected] 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.
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Skills Required
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field
- 3+ years of experience in AI/ML development
- Proficiency in Python and C++
- Hands-on experience with TensorFlow Lite, PyTorch Mobile, HailoRT or similar
- Experience with optimizing AI models for edge deployment
Jabil Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jabil and has not been reviewed or approved by Jabil.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, with medical, dental, vision, prescription coverage, and HRA/HSA plan options appearing consistently across role materials. Wellbeing support is also included via EAP access and additional wellbeing-oriented time such as mental-health days in some U.S. postings.
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Retirement Support — Retirement offerings include a 401(k) with company match and an Employee Stock Purchase Plan, which together strengthen long-term savings potential. Additional financial upside is supported in some roles through profit sharing and performance/quarterly bonus structures.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle add-ons extend beyond core insurance, including tuition reimbursement, commuter benefits, pet insurance, adoption assistance, and employee assistance resources. Community-oriented benefits such as a paid Day of Service can add perceived non-cash value alongside standard rewards.
Jabil Insights
What We Do
Jabil is a product solutions company providing comprehensive design, manufacturing, supply chain and product management services.
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