Senior Systems Engineer - DoD Secret Clearance, Onsite

RTX

El Paso (TX)

On-site

USD 87,000 - 165,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance

Job summary

RTX is seeking a Systems Engineer for our SE&TC team in Tucson, AZ. You’ll shape architecture, requirements and verification across complex guided and autonomous systems, collaborating with software, hardware, controls, navigation and sensors to drive validation and field performance.

Ideal candidates have a STEM degree and 5+ years in autonomy, robotics, or embedded systems, with MBSE experience (Cameo) and strong analytical communication skills.

Qualifications

  • Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM preferred).
  • Minimum of 5 years of engineering experience in one or more of autonomy, controls, robotics, navigation, embedded systems, EO/IR sensors or real-time systems.
  • Experience with MBSE tools and system-level design is desirable.

Responsibilities

  • Develop, maintain and improve system and subsystem requirements for hardware and software elements.
  • Create system architectures, interface definitions and design documentation using MBSE tools such as Cameo.
  • Lead updates to system and subsystem requirements specifications, ensuring traceability to verification objectives.
  • Guide system-level integration, hardware/software alignment and cross-team collaboration throughout development and production.
  • Plan and execute verification and validation strategies, ensuring requirements are accurately assessed during qualification testing.

Skills

Autonomy
Controls
Robotics
Navigation
Embedded Systems
EO/IR Sensors
Real-Time Systems

Education

B.S. in STEM

Job description

RTX is seeking a Systems Engineer for our SE&TC team in Tucson, AZ. You’ll shape architecture, requirements and verification across complex guided and autonomous systems, collaborating with software, hardware, controls, navigation and sensors to drive validation and field performance.

Ideal candidates have a STEM degree and 5+ years in autonomy, robotics, or embedded systems, with MBSE experience (Cameo) and strong analytical communication skills.

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