AI Engineer for High-Speed Backplanes

Amphenol ICC; Nashua (NH); On-site; USD 110,000 - 140,000; Full time

Job summary

Amphenol Communications Solutions (ACS) in Nashua, NH, is seeking an AI Engineer to advance high-speed backplane products. You will design, implement, and validate AI-driven tools and simulations that improve engineering efficiency and decision-making.

You will collaborate with hardware and software teams, integrate with leading engineering applications via APIs, and help train users while ensuring security and governance standards throughout AI deployments.

Qualifications

• Bachelor's degree in a related field (CS/Engineering/Analytics).
• 3–5+ years of Python experience required.
• Experience with C++, MATLAB, or similar languages preferred.
• Experience integrating software with APIs and scripting interfaces.
• Familiarity with AI platforms, automation, and data visualization tools.
• Strong analytical and problem-solving skills with ability to translate needs into solutions.
• Experience developing dashboards and performance metrics.

Responsibilities

• Identify opportunities to apply AI to improve engineering processes and productivity.
• Collaborate with stakeholders to understand workflows and automation opportunities.
• Develop, test, and implement AI-driven tools and dashboards.
• Turn ideas into functional tools with engineering teams.
• Train employees on AI tools and best practices.
• Create user guides and training materials for AI adoption.
• Ensure AI solutions meet security, governance, and privacy standards.
• Stay informed on AI trends and emerging technologies.

Skills

Python

C++

C#

MATLAB

AI platforms

Data visualization

Problem solving

Project management

Education

Bachelor's degree in Computer Science

Tools

ANSYS

HFSS

CST

Creo

SolidWorks

Job description

Amphenol Communications Solutions (ACS) in Nashua, NH, is seeking an AI Engineer to advance high-speed backplane products. You will design, implement, and validate AI-driven tools and simulations that improve engineering efficiency and decision-making.

You will collaborate with hardware and software teams, integrate with leading engineering applications via APIs, and help train users while ensuring security and governance standards throughout AI deployments.