1

Payload Integration Jobs in Texas (NOW HIRING)

This is a hands on, high ownership role at the center of spacecraft and payload integration. Reports to Avionics Director. Responsibilities: * Define tests based on those environments, including ...

Showing results 21-40

Payload Integration information

What is a payload integration?

Payload Integration jobs involve coordinating and managing the process of integrating scientific instruments, satellites, or other cargo (the 'payload') with a launch vehicle, such as a rocket or spacecraft. Professionals in this role work closely with engineering teams, customers, and mission planners to ensure that payloads are properly installed, tested, and meet all safety and interface requirements before launch. They play a critical role in making sure that payloads are delivered into space safely and function as intended. This work requires strong technical knowledge, project management skills, and attention to detail.

What skills and qualifications are needed for payload integration?

To excel as a Payload Integration Engineer, you need a solid background in aerospace or mechanical engineering, strong analytical skills, and experience with payload design and integration processes. Familiarity with CAD software, simulation tools, and industry standards like NASA or ESA protocols, along with relevant certifications, is often required. Excellent problem-solving abilities, teamwork, and effective communication are crucial soft skills for coordinating across multidisciplinary teams. These skills ensure that payloads are safely, efficiently, and accurately integrated into launch vehicles, minimizing risks and maximizing mission success.

What are common challenges faced by payload integration specialists during satellite mission preparation?

Payload integration specialists often encounter challenges such as coordinating between multiple teams (engineering, testing, and mission operations) to ensure compatibility and safety of payloads. Managing tight schedules and adapting to last-minute design changes or unexpected technical issues are also frequent hurdles. Effective communication and strong organizational skills are essential to navigate these complexities and ensure the payload is successfully integrated and ready for launch.

What is the difference between Payload Integration vs Payload Specialist?

AspectPayload IntegrationPayload Specialist
Required CredentialsEngineering degrees, technical certificationsTechnical background, training in payload handling
Work EnvironmentDesign labs, testing facilities, launch sitesLaunch vehicles, spacecraft, mission sites
Employer & Industry UsageAerospace companies, government agenciesNASA, aerospace contractors, space agencies
Common Search & ComparisonYesYes

Payload Integration involves designing, testing, and ensuring payloads are compatible with launch vehicles, focusing on engineering and technical processes. Payload Specialist, on the other hand, is a role that involves operating and managing payloads during space missions, often requiring specialized training for onboard handling. While both roles work closely with payloads, Integration is more technical and preparatory, whereas Specialist is operational during missions.

What cities in Texas are hiring for Payload Integration jobs?

Cities in Texas with the most Payload Integration job openings:

Staff Engineer, Mission Systems - Fleet Support (R5004)

Dallas, TX

Shield AI
Software Development • 11 - 50 employees

$140K - $210K/yr

Full-time, Part-time

Re-posted 27 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

Shield AI is seeking a Senior Mission Systems Engineer to serve as the mission systems SME for the V-BAT Fleet Support team. In this role, you will own customer-facing engineering support for payload system issues, transponder system issues, emerging mission-technology integrations, and systems that communicate with external sources or provide data externally.

You will serve as the bridge between Fleet Support and the mission systems, payload, software, electrical, and communications engineering teams to ensure customers receive expert engineering support for mission-critical capabilities.

What you'll do:
  • Serve as the mission systems SME for Fleet Support and lead escalated investigations involving payloads, transponders, and externally connected mission systems.
  • Diagnose payload integration and performance issues involving power, thermal behavior, compute, configuration, data interfaces, timing, and subsystem interoperability.
  • Troubleshoot systems that communicate with external sources or provide data externally, including mission-data outputs, external interfaces, and system-to-system connectivity issues.
  • Support the introduction of emerging technologies and new mission capabilities into the fielded fleet by identifying support risks, validation needs, and integration challenges.
  • Work directly with customers, operators, and maintainers to understand mission impact, reproduce issues, and define corrective actions.
  • Partner with electrical, software, and RF teams on cross-functional mission-system problems.
  • Support lab validation, hardware integration, test readiness, and field demonstrations related to mission-system fixes.
  • Create technical guidance, interface notes, troubleshooting procedures, and customer-facing documentation for fielded mission capabilities.
  • Capture recurring issues and feed lessons learned back into product, systems, and design teams.
Required qualifications:
  • Bachelor’s degree in Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related discipline.
  • 5+ years of experience in payload integration, sensor integration, mission systems, avionics integration, or aircraft systems engineering.
  • Experience troubleshooting complex systems that span hardware, software, networking, and operational workflows.
  • Strong ability to move between high-level mission context and detailed subsystem investigation.
  • Experience working across design, integration, test, and field-support environments.
  • Strong written and verbal communication skills in customer-facing technical settings.
Preferred qualifications:
  • Experience with electro-optical and infrared (EO/IR) payloads, radar, transponders, or other externally connected aircraft mission systems.
  • Experience with interface control documents, validation planning, and flight-test support.
  • Experience introducing new payloads or mission kits into operational fleets.
  • Experience with defense, maritime, or expeditionary mission systems.
#LI-JM1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.