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Gcs Jobs in Texas (NOW HIRING)

Samsung

GCS Gas Engineer

Austin, TX · On-site

$76K - $174K/yr

Gas And Chemical Systems (Gcs) Gas Equipment Engineer Innovating Today to Power the Devices of Tomorrow. The Gas and Chemical Systems (GCS) Gas Equipment Engineer role is focused on comprehensively ...

Samsung

GCS Bulk Gas Engineer

Taylor, TX · On-site

$76K - $145K/yr

Gas And Chemical Systems Bulk Gas Equipment Engineer The Gas and Chemical Systems (GCS) Bulk Gas Equipment Engineer role is focused on comprehensively owning, maintaining, supporting, and improving ...

Samsung Electronics Co., Ltd.

GCS Gas Engineer

Austin, TX · On-site

$76K - $174K/yr

Position Summary The Gas and Chemical Systems (GCS) Gas Equipment Engineer role is focused on comprehensively owning, maintaining, supporting, and improving specialty and bulk chemical equipment and ...

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How much do gcs jobs pay per week?

As of Sep 12, 2026, the average weekly pay for gcs in Texas is $1,555.23, according to ZipRecruiter salary data. Most workers in this role earn between $1,442.31 and $1,675.00 per week, depending on experience, location, and employer.

What is a GCS?

GCS stands for Ground Control Station, which is a system used to control and monitor unmanned vehicles such as drones or UAVs (Unmanned Aerial Vehicles). Operators use GCS to send commands, receive telemetry data, and sometimes view live video feeds from the vehicle. GCS can range from portable laptop-based systems to large, fixed installations. They play a crucial role in ensuring the safe and efficient operation of unmanned systems, often providing interfaces for navigation, mission planning, and system diagnostics.

What are the key skills and qualifications needed to thrive as a Google Cloud Specialist, and why are they important?

To thrive as a Google Cloud Specialist, you need a solid understanding of cloud computing principles, experience with Google Cloud Platform (GCP) services, and typically a relevant degree or certification such as Google Cloud Professional certifications. Familiarity with tools like Google Kubernetes Engine, BigQuery, and cloud automation systems is common in this role. Strong problem-solving skills, effective communication, and a collaborative mindset help professionals deliver tailored cloud solutions and work efficiently with clients and teams. These skills ensure optimal cloud architecture, smooth project delivery, and alignment with business goals in dynamic technology environments.

What are the primary challenges faced by a Google Cloud Platform (GCP) Cloud Engineer, and how can they be addressed?

As a GCP Cloud Engineer, one of the main challenges is staying updated with rapidly evolving cloud technologies and best practices. You may also encounter complex migration projects, requiring strong problem-solving and collaboration with cross-functional teams such as DevOps, security, and application developers. Proactively engaging in continuous learning, leveraging Google’s official documentation, and participating in cloud community forums can help address these challenges. Additionally, developing strong communication skills is crucial for effectively translating technical requirements and collaborating across diverse teams.

What is the difference between Gcs vs Cloud Engineer?

AspectGcsCloud Engineer
Required CredentialsGoogle Cloud certifications, technical skills in cloud storageCloud certifications (AWS, Azure, Google Cloud), broad cloud knowledge
Work EnvironmentPrimarily cloud storage management, data handlingDesigning, deploying, managing cloud infrastructure
Employer & Industry UsageTech companies, data-driven organizations using Google CloudVarious industries adopting cloud solutions, broader scope

Gcs (Google Cloud Storage Specialist) focuses on managing and optimizing cloud storage solutions within Google Cloud. In contrast, a Cloud Engineer has a broader role, designing and maintaining entire cloud infrastructure across multiple services. While Gcs specialists concentrate on storage, Cloud Engineers handle a wider range of cloud services, making their roles complementary but distinct.

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What job categories do people searching Gcs jobs in Texas look for?

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What cities in Texas are hiring for Gcs jobs?

Cities in Texas with the most Gcs job openings:

Gcs jobs near you
Infographic showing various Gcs job openings in Texas as of September 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $80,872 per year, or $38.9 per hour.

Staff Engineer, Software, GCS - C++ (R5189)

Dallas, TX • On-site

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$150K - $230K/yr

Full-time

Re-posted 2 days ago

Key responsibilities

  • Design, develop, and optimize Ground Control Station (GCS) and command & control (C2) software, including mission planning, real-time command & control, video streaming, and telemetry visualization.

  • Own the technical direction for major GCS features, including UI/UX design, client/server interfaces, and API development, while collaborating with cross-functional teams and external partners.

  • Support live mission operations by traveling to test sites, troubleshooting integration issues, and supporting field tests and demonstrations.

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:

The Ground Control Station (GCS) and Command & Control (C2) Software team builds the mission planning, command & control, and post-mission debrief systems that enable operators to seamlessly manage complex, multi-domain unmanned missions. We combine deep desktop application development, modern map-centric interfaces, robust backend integrations, and platform-specific control protocols to deliver a world-class operator experience across air, maritime, space, and effects/expendables. In this role, you will focus on building Ground Control Station software, advanced mission planners, post-mission debrief utilities, and general C2 interfaces. You will work across C++, Qt/QML, QGroundControl (QGC), and full-stack technologies to translate autonomous platform capabilities into intuitive, low-latency, and highly reliable control systems.

In this role, you will design and develop major GCS features, mentor mid-level engineers, and represent the GCS/C2 team directly to autonomy capability teams, flight operations, and external partners. It's a hands-on role for engineers who enjoy designing user-facing controls and mission-critical systems and want to see their code drive complex real-world operations.

What you'll do:
  • Develop & Field GCS/C2 Software — Design, develop, and optimize high-performance, responsive GCS software and C2 applications, focusing on map-centric mission planning, real-time command & control, video streaming, and telemetry visualization. Customize and extend QGroundControl (QGC) or related Qt/C++ frameworks to support custom vehicle protocols and multi-agent operations.
  • Technical Leadership — Own technical direction for major GCS features and systems; architect UI/UX layouts, design robust client/server interfaces, and lead technical decision-making within your project area.
  • Collaboration Across Teams — Act as a primary technical interface with the Autonomy Capabilities team, Perception team, flight operations, and external partners (platform integrators, C2 providers, and vehicle vendors); author and negotiate APIs, ICDs, and interface contracts rather than just consume them.
  • Mentorship & Growth — Mentor mid-level engineers on the team; partner with managers on onboarding, leveling, and growth planning. Formally onboard senior new hires.
  • Design, UX, & Documentation — Drive design reviews, UI/UX prototyping, and ICD definition; champion rigorous coding standards, unit/integration testing, and developer/operator documentation to close process gaps that span teams.
  • Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready ground stations; coordinate hardware/software compatibility, UI/UX readiness, and release cadence with capability and feature teams.
  • On-site Test & Mission Support — Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), working closely with operators and pilots to gather feedback, debug live C2 systems, and troubleshoot interfaces under time-critical field constraints.
  • Hardware/Software Debugging — Diagnose and resolve integration issues across complex GCS/C2 stacks, radio links, payload controls, and telemetry streams — including UI responsiveness bottlenecks, memory leaks, and network latency profiling under operationally-representative loads.
  • Mission Data & Debrief Support — Architect and implement post-mission debrief utilities and telemetry analysis tools that parse, play back, and visualize telemetry, logs, and payload data for rapid post-mission analysis and issue reproduction.
  • Continuous Improvement — Build tools and automation scripts to improve C2 deployment pipelines, test/mission reliability, and simulation-based operator testing.
  • C2 Interoperability & Standards — Own compliance and integration with command-and-control standards and architectures (e.g., A-GRA, UCI, OMS, STANAG 4586, MAVLink).
  • Hiring — Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program.
  • Travel Requirement — Members of this team typically travel around 10-20% of the year (to support field integration, customer demonstrations, or test events).
Required qualifications:
  • BS/MS in Computer Science, Software Engineering, Computer Engineering, or equivalent practical experience.
  • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
  • Strong proficiency in C++, with experience developing complex, multi-threaded, or latency-sensitive desktop applications.
  • Experience building responsive user interfaces using Qt/QML (or similar modern UI frameworks).
  • Hands-on experience customizing, extending, or building with QGroundControl (QGC) or similar open-source/proprietary ground station software.
  • Experience full-stack or building backend in C/C++, Python, TypeScript, or Go, including service orchestration, command/status interfaces, and data pipelines between UI, ground services, and vehicle-side components.
  • Deep familiarity with networked and distributed systems, including UDP/TCP transport, custom binary protocols, reliable messaging, pub-sub/IPC middleware, and serialization/IDL tooling.
  • Experience using AI-assisted development tools to accelerate software design, implementation, debugging, testing, and code review while maintaining strong engineering judgment, validation discipline, and ownership of final technical decisions.
  • Demonstrated experience owning a major software capability or system from architecture through field delivery.
  • Track record of mentoring engineers and growing technical talent.
  • Experience authoring or negotiating interface contracts, schemas, or ICDs with internal or external stakeholders.
  • Strong debugging and profiling skills, including diagnosing memory leaks, UI responsiveness bottlenecks, and network latency issues.
  • Ability to obtain a SECRET clearance.
Preferred qualifications:
  • Experience with Geographic Information Systems (GIS), map rendering engines (e.g., Mapbox, Cesium, Esri, QGC Map Engine), and 2D/3D spatial data visualization.
  • Familiarity with video streaming protocols and multimedia frameworks (e.g., RTSP, WebRTC, GStreamer, H.264/H.265 video codecs).
  • Experience developing post-mission telemetry analysis, log parsing, or interactive playback/debrief systems.
  • Familiarity with containerization (e.g., Docker, Kubernetes) and deploying C2 services to local, edge, or cloud environments.
  • Experience with platform control / autopilot protocols (e.g., MAVLink, STANAG 4586) or DoD C2 standards (e.g., A-GRA, UCI, OMS).
  • Experience working closely with flight operators, pilots, or military stakeholders to gather feedback and refine user workflows.
  • Active Secret or Top Secret clearance.
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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.
 
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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.