Remote Principal Systems Engineer — AI Training Projects

Zekai; United States; A distancia; USD 124.000 - 207.000; A tiempo parcial

Descripción de la vacante

Zekai seeks experienced Principal or Lead Systems Engineers to support an AI training project focused on real-world engineering workflows. You will draw on your experience leading multidisciplinary engineering projects to design realistic tasks, coordinate contributions from domain experts, and define clear technical objectives and evaluation criteria.

Your expertise will help improve how AI systems plan, execute, and validate engineering work.

Formación

• Substantial professional experience as a Principal Systems Engineer, Lead Systems Engineer, or in a comparable technical leadership role.
• Proven experience leading complex engineering projects involving multiple technical disciplines.
• Strong expertise in requirements engineering, interface management, system integration, and verification and validation.
• English proficiency at B2 level or higher

Responsabilidades

• Design realistic engineering projects involving multiple disciplines, such as mechanical, electrical, hardware, software, and manufacturing.
• Translate project objectives into clear requirements, technical constraints, and measurable acceptance criteria.
• Break complex projects into connected tasks with defined inputs, deliverables, dependencies, and expert responsibilities

Educación

Master's degree or PhD in Systems Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a related field

Herramientas

SysML

Requirements management tools

Model-based systems engineering

Descripción del empleo

Zekai seeks experienced Principal or Lead Systems Engineers to support an AI training project focused on real-world engineering workflows. You will draw on your experience leading multidisciplinary engineering projects to design realistic tasks, coordinate contributions from domain experts, and define clear technical objectives and evaluation criteria.

Your expertise will help improve how AI systems plan, execute, and validate engineering work.