Lead Systems Engineer for AI Training (Remote)

OpenTrain AI, Inc.

United States

Remote

USD 207,000 - 413,000

Part time

5 hours ago
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Job summary

OpenTrain AI, Inc. seeks a Principal or Lead Systems Engineer to design comprehensive engineering workflows across mechanical, electrical, hardware, software, and manufacturing domains.

This remote contractor role centers on improving AI training systems through rigorous requirements, integration, and validation work. Responsibilities include breaking projects into executable tasks, managing interfaces, and coordinating multidisciplinary inputs to meet clearly defined objectives and acceptance

Qualifications

  • Substantial experience as a Principal or Lead Systems Engineer on multidisciplinary projects.
  • Fluent English communication and collaboration across domains.
  • Strong grasp of engineering requirements, interfaces, integration, verification and validation.
  • Master's or PhD in Systems Engineering or related field is preferred.

Responsibilities

  • Design engineering workflows spanning mechanical, electrical, hardware, software, and manufacturing disciplines.
  • Break complex projects into connected tasks with inputs, deliverables, dependencies, and responsibilities.
  • Apply systems engineering principles to interface management, system integration, verification, and validation.
  • Coordinate contributions from domain experts to ensure clear objectives and evaluation criteria for each workflow.

Skills

Requirements engineering
Interface management
System integration
Verification & validation

Education

Master's degree in Systems Engineering
PhD in Systems Engineering

Job description

OpenTrain AI, Inc. seeks a Principal or Lead Systems Engineer to design comprehensive engineering workflows across mechanical, electrical, hardware, software, and manufacturing domains.

This remote contractor role centers on improving AI training systems through rigorous requirements, integration, and validation work. Responsibilities include breaking projects into executable tasks, managing interfaces, and coordinating multidisciplinary inputs to meet clearly defined objectives and acceptance

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