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From Home Gnss Engineer Jobs in Spring, TX (NOW HIRING)

DMG

Senior VDI Admin/Engineer (WFH, C2C)

Houston, TX · On-site

$48.50 - $60.75/hr

The Sr VDI Admin/Engineer is responsible for assisting with the deployment of a new Virtual Desktop environment built on VMware Horizon and VCE infrastructure. This role is Work From Home (Eastern ...

Fugro

Navigation Engineer

Houston, TX · On-site

$76K - $103K/yr

Work offshore from a floating vessel. Repair and maintenance of field equipment, according to ... GNSS equipment and theory. SPECIAL REQUIREMENTS: 1) May telecommute up to 2 days per week. 2) HSSE ...

Fugro

Navigation Engineer

Houston, TX · On-site

Work offshore from a floating vessel. Repair and maintenance of field equipment, according to ... GNSS equipment and theory. SPECIAL REQUIREMENTS: 1) May telecommute up to 2 days per week. 2) HSSE ...

Repsol SA

Project Engineer

Houston, TX · On-site

$90 - $150/hr

Hybrid work model - 3 days in the office and 2 days from home. Key Responsibilities * Project ... Engineering Management & Integration: Oversee and manage engineering deliverables across the full ...

STV

Staff Surveyor

Houston, TX

$130K - $149K/yr

... engineers, and project teams who are invested in helping you succeed. What You'll Do * Support a ... Collect, process, and verify survey data using GPS/GNSS, robotic total stations, digital levels ...

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Showing results 1-20

All JobsGnss Engineer JobsFrom Home Gnss Engineer JobsFrom Home Gnss Engineer Jobs in Spring, TX

From Home Gnss Engineer information

See Spring, TX salary details

$39.2K

$94.7K

$154.4K

How much do from home gnss engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for from home gnss engineer in Spring, TX is $94,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $117,900.00 per year, depending on experience, location, and employer.

What is the difference between From Home Gnss Engineer vs From Home Satellite Data Analyst?

AspectFrom Home Gnss EngineerFrom Home Satellite Data Analyst
Required CredentialsBachelor's in Engineering, Geomatics, or related field; certifications like GNSS or GIS are commonBachelor's in Data Science, Geography, or related; certifications in GIS or remote sensing are typical
Work EnvironmentRemote or office-based, focused on GNSS hardware and softwareRemote, analyzing satellite data sets and producing reports
Industry UsageUsed in surveying, navigation, and geospatial industriesApplied in environmental monitoring, mapping, and research sectors

While both roles involve satellite data, From Home Gnss Engineers focus on GNSS technology and hardware, whereas From Home Satellite Data Analysts primarily interpret satellite data for insights. Both roles are remote, require related certifications, and serve different industry needs.

What are the most commonly searched types of Gnss Engineer jobs in Spring, TX?

The most popular types of Gnss Engineer jobs in Spring, TX are:

What are popular job titles related to From Home Gnss Engineer jobs in Spring, TX?

For From Home Gnss Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching From Home Gnss Engineer jobs in Spring, TX look for?

The top searched job categories for From Home Gnss Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for From Home Gnss Engineer jobs?

Cities near Spring, TX with the most From Home Gnss Engineer job openings:

From Home Gnss Engineer jobs near you
Infographic showing various From Home Gnss Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $94,672 per year, or $45.5 per hour.

Machine Learning Engineer (Autonomy)

Mariana Minerals

Houston, TX • On-site

$140K - $180K/yr

Full-time

Posted 2 days ago

New

Job description

About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
Role Overview
We are hiring Machine Learning Engineers (Autonomy) to build the autonomy and sensor-integration software that lets our mining vehicles perceive, decide, and drive themselves.
In this role you will work on parts of the software and sensor integration that enables full mining autonomy - sensor fusion across LiDAR, cameras, radar, and IMU/GNSS; perception, localization, and mapping; and the autonomy stack that turns sensing into safe vehicle motion. You will carry work from architecture and algorithm design through implementation, simulation, and bench and field validation, working hand in hand with our hardware, controls, and systems-engineering teams. This is a hands-on, first-principles role for an engineer who wants to develop the world's first fully autonomous mines.
What You'll Do
  • Develop autonomy software for autonomous mining vehicles focusing on one or more area: perception, SLAM, motion planning, and control
  • Integrate and calibrate the sensing suite (LiDAR, cameras, radar, IMU, GNSS), implementing sensor fusion and time synchronization robust to dust, vibration, and corrosion-heavy mining environments
  • Build and maintain embedded and real-time software that bridges sensing, compute, and actuation, with attention to safety, latency, and reliability
  • Develop simulation, logging, and data pipelines to test autonomy behavior and drive performance against safety and availability targets
  • Build bench, rig, and field validation of the autonomy stack, debugging across the full software-hardware boundary
  • Collaborate with hardware and controls engineers to integrate sensing, compute, and actuation into a complete vehicle

What You'll Bring
  • Bachelor's degree in Mechatronics, Robotics, Computer Science, Electrical, or related engineering discipline
  • 2+ years developing autonomy, robotics, or embedded software, ideally for mobile robots or vehicles
  • Strong proficiency in C++ and/or Python, and with a robotics middleware such as ROS/ROS 2
  • Hands-on experience with sensor integration and fusion - LiDAR, cameras, radar, IMU, GNSS - and with perception, localization, or motion-planning algorithms
  • Working knowledge of real-time and embedded systems, and of the controls and software-hardware integration that drive actuation
  • Experience in autonomous vehicles, robotics, automotive, or off-highway equipment strongly preferred
Our culture is built on four principles:
Everyone Gets Home Safe. We never put speed or cost ahead of people.
Extreme Ownership. We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate. We simplify, optimize, and then automate for scale.
Share Your Legos. We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply!

Apply