Edge AI Field Applications Engineer

Job summary

Provide technical leadership and customer support for Edge AI solutions, guiding customers through hardware selection, model development and optimization, deployment, debugging, and system integration. Collaborate with customers, suppliers, sales, and engineering teams to develop demonstrations and proof-of-concept solutions, deliver training, and advance customer adoption and regional business growth.

Job details

Position Overview The Senior Edge AI Field Applications Engineer within Future Electronics’ Advanced Engineering Group is responsible for providing expert technical leadership and support for advanced Edge AI solutions. This role focuses on enabling customer success through deep expertise in Edge AI architectures, embedded processors, AI accelerators, model development, optimization, and deployment across embedded systems. As a trusted technical partner, you will support customers throughout the complete design cycle — from concept and proof-of-concept to production — by providing guidance on hardware selection, AI model implementation, performance optimization, debugging, and system integration. Working closely with Future Electronics’ Advanced Engineering team, Sales, and key suppliers, you will help drive regional business growth and accelerate customer adoption of innovative Edge AI technologies. Key Responsibilities Provide expert technical support for Edge AI system design, AI model development, and deployment Partner with suppliers and customers to deliver high-value technical solutions and support qualified opportunities Support hardware selection, AI model optimization, benchmarking, and real-time edge inference implementation Conduct training sessions on Edge AI technologies, tools, and development frameworks Assist in developing Edge AI demonstration platforms and proof-of-concept solutions Build strong relationships with supplier and customer engineering teams Represent Future Electronics in customer-facing technical and sales activities Stay current with emerging Edge AI technologies, products, and industry trends Prioritize technical opportunities to maximize business impact and customer success Qualifications & Experience Engineering degree with 5–10 years of experience in the electronics industry Strong background in Edge AI design, AI model creation, deployment, optimization, and embedded AI systems Hands-on experience with neural networks, edge inference, AI accelerators, vision processing, and power/performance optimization Experience with Edge AI processors, development tools, software frameworks, and deployment ecosystems is highly preferred Excellent communication, presentation, and interpersonal skills Highly organized, self-motivated, and results-oriented Strong understanding of embedded electronics and electronic distribution environments Demonstrated leadership skills with the ability to influence and drive technical strategies Why join us We take a holistic approach to employee wellness, ensuring our people are supported both at work and in life. Alongside a competitive salary and comprehensive health and dental benefits, corporate employees benefit from a strong, flexible benefits package designed to support your wellbeing and peace of mind, including: Medical coverage through the United Healthcare Choice Plus Plan Telemedicine and virtual healthcare visits for convenient access to care Prescription drug coverage through Express Scripts Two dental plan options through Delta Dental of Massachusetts Flexible Spending Accounts (FSA) for added financial flexibility Company-paid life insurance and short-term disability coverage Optional supplemental life insurance

What you’ll do

Provide technical leadership and customer support for Edge AI solutions, guiding customers through hardware selection, model development and optimization, deployment, debugging, and system integration. Collaborate with customers, suppliers, sales, and engineering teams to develop demonstrations and proof-of-concept solutions, deliver training, and advance customer adoption and regional business growth.

Requirements

Requires an engineering degree and 5–10 years of electronics industry experience, with a strong background in Edge AI design, model development and deployment, embedded AI, neural networks, edge inference, accelerators, and vision processing. Candidates should have experience optimizing power and performance, familiarity with Edge AI processors and development ecosystems, strong communication and organizational skills, and the ability to influence technical strategies.

Benefits

• Medical Coverage
• Telemedicine and Virtual Healthcare
• Prescription Drug Coverage
• Dental Coverage
• Flexible Spending Accounts
• Company-Paid Life Insurance
• Short-Term Disability Coverage
• Optional Supplemental Life Insurance

Listed skills

• Customer support · Preferred
• Technical · Preferred
• Training · Preferred
• Leadership · Preferred
• Health · Preferred
• Teams · Preferred
• Sales · Preferred
• Communication · Preferred
• Development · Preferred
• future · Preferred
• Flexible · Preferred
• Customer · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Edge AI System Design
• AI Model Development
• AI Model Optimization
• Embedded AI Systems
• Neural Networks
• Edge Inference
• AI Accelerators
• Vision Processing
• Hardware Selection
• Performance Optimization
• Benchmarking
• System Integration
• Debugging
• Embedded Electronics
• Technical Training
• Customer and Supplier Collaboration

Job areas

• Engineering
• Technology
• Sales
• Customer Service & Support

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