Automation Engineer, Functional Safety & AI/ML

KPIT; Dearborn (MI); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Geo Blue PPO

HSA plan

401k with employer match

Dental and Vision plan

Paid Holidays

Employee discounts

Job summary

KPIT in Dearborn, MI, is seeking an Automation Engineer focused on Functional Safety. The role develops automation solutions for safety work products, verification, and traceability, using Python, AI/ML, data analytics and MBSE approaches to boost productivity and consistency.

You will integrate data across GitHub, CodeBeamer and MagicDraw/Cameo, and help generate audit-ready evidence. The position emphasizes scalable automation, reusable frameworks and compliance with ISO 26262.

Qualifications

• Strong Python development capability with automation framework mindset.
• Working knowledge of AI/ML or analytics techniques for engineering productivity use cases.
• Experience with APIs, GitHub, CodeBeamer and MagicDraw/Cameo or similar engineering platforms.
• Understanding of ISO 26262, Functional Safety work products and traceability expectations.
• Ability to convert engineering pain points into scalable automation solutions.

Responsibilities

• Develop automation solutions for Functional Safety work products, verification and confirmation reviews, assessments and requirements traceability.
• Use software development, AI, data analytics and systems engineering approaches to reduce manual effort and improve consistency.
• Integrate engineering data across tools such as GitHub, CodeBeamer and MagicDraw/Cameo where applicable.
• Define reusable automation frameworks, scripts, dashboards or validation aids for Functional Safety lifecycle activities.
• Support compliance evidence generation and improve audit readiness through traceable, data-driven outputs.

Skills

Python

Automation

AI/ML

Data analytics

Systems engineering

Traceability

Tools

GitHub

CodeBeamer

MagicDraw/Cameo

APIs

MBSE

Job description

KPIT in Dearborn, MI, is seeking an Automation Engineer focused on Functional Safety. The role develops automation solutions for safety work products, verification, and traceability, using Python, AI/ML, data analytics and MBSE approaches to boost productivity and consistency.

You will integrate data across GitHub, CodeBeamer and MagicDraw/Cameo, and help generate audit-ready evidence. The position emphasizes scalable automation, reusable frameworks and compliance with ISO 26262.