Senior Space Systems Engineer | MBSE & AI&T Lead

General Atomics; San Diego (CA); On-site; USD 116,000 - 209,000; Full time

Job summary

General Atomics Electromagnetic Systems (GA-EMS) seeks a Senior Systems Engineer to lead systems engineering activities for space systems and payloads in San Diego, CA. You will develop requirements, interface control documents, and MBSE models while guiding junior engineers and presenting at reviews.

You will collaborate with program management and engineering teams to ensure traceability between models, requirements, and test artifacts in a model-based environment and support AI&T planning

Qualifications

• Requires bachelor, master, or PhD in engineering or related technical discipline with progressive experience.
• Significant experience developing space-based systems and payloads.
• Proven ability to lead complex engineering projects with verification and validation.

Responsibilities

• Lead systems engineering activities for space systems and payloads.
• Develop and manage requirements, interface control documents, test plans and configurations.
• Model systems using MBSE methods and tools to support design trades and performance analysis.
• Provide guidance to SE staff and mentor junior engineers.
• Present technical content at internal and customer reviews.
• Collaborate with program management and cross-functional teams throughout lifecycle.

Skills

Systems engineering leadership

MBSE modeling

Requirements capture

Cross-functional collaboration

Technical mentoring

Education

Bachelor's/ Master's/ PhD in engineering

Tools

Cameo

DOORS

Confluence

Teams

JIRA

Job description

General Atomics Electromagnetic Systems (GA-EMS) seeks a Senior Systems Engineer to lead systems engineering activities for space systems and payloads in San Diego, CA. You will develop requirements, interface control documents, and MBSE models while guiding junior engineers and presenting at reviews.

You will collaborate with program management and engineering teams to ensure traceability between models, requirements, and test artifacts in a model-based environment and support AI&T planning