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Geospatial Software Engineer Jobs in Texas (NOW HIRING)

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As a Staff Engineer, you will be an individual contributor driving our core technical vision ... Geospatial Innovation: Architect and scale features leveraging mapping and navigation platforms ...

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have: * Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ...

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have: * Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ...

Bachelor's degree from an accredited college/university in Engineering, Environmental Science, or ... geospatial software and field data collection applications. * Excellent oral and written ...

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have: * Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ...

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have: * Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ...

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have: * Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ...

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... Create software that provides geospatial visualizations of large-scale data collected from ... driven engineer capable of owning projects from concept through implementation · Passion for ...

You Have: * 2+ years of experience building production-grade software in Python, TypeScript, or ... Experience working with geospatial or 3D data, such as point clouds, LiDAR, or photogrammetry ...

You Have: * 2+ years of experience building production-grade software in Python, TypeScript, or ... Experience working with geospatial or 3D data such as point clouds, LiDAR, or photogrammetry ...

You Have: * 2+ years of experience building production-grade software in Python, TypeScript, or ... Experience working with geospatial or 3D data such as point clouds, LiDAR, or photogrammetry ...

TECHNICAL ARCHITECT

Irving, TX · On-site

$61.50 - $74.25/hr

... communications, geospatial routing, and cybersecurity. • Evaluate and implement emerging ... Required : • Bachelor's or Master's degree in Computer Science, Software Engineering, or related ...

UI/UX Designer - Robot Interfaces

Austin, TX · On-site

$93.20K - $116K/yr

... LiDAR, geospatial, 3D), and optimizing user interactions. Rapid prototyping and iteration with ... S. in Computer Science, Software Engineering, or a related technical field * 2+ years of ...

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Geospatial Software Engineer information

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$34

How much do geospatial software engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for geospatial software engineer in Texas is $33.52, according to ZipRecruiter salary data. Most workers in this role earn between $33.08 and $33.94 per hour, depending on experience, location, and employer.

What does a Geospatial Software Engineer do?

A Geospatial Software Engineer develops, maintains, and optimizes software that processes and analyzes geographic data. They work with GIS (Geographic Information Systems), mapping technologies, and spatial databases to build applications for industries like urban planning, environmental science, and logistics. Their role often involves programming, data visualization, and integrating geospatial tools with cloud or web-based platforms. They typically use languages like Python, JavaScript, or C++ and frameworks such as GDAL, PostGIS, or Mapbox.

What are the key skills and qualifications needed to thrive in the Geospatial Software Engineer position, and why are they important?

To thrive as a Geospatial Software Engineer, you need strong programming skills (such as Python, Java, or C++), knowledge of GIS principles, spatial databases, and a degree in computer science, geography, or a related field. Familiarity with tools like ArcGIS, QGIS, PostGIS, and relevant certifications (e.g., Esri Technical Certification) are highly valued. Problem-solving ability, attention to detail, and effective communication are crucial soft skills in this role. These qualifications ensure accurate spatial analysis, efficient development of geospatial applications, and successful collaboration with multidisciplinary teams.

What are the typical projects or tasks Geospatial Software Engineers work on?

Geospatial Software Engineers commonly work on projects such as developing mapping applications, processing and visualizing spatial data, building location-based services, and integrating geographic data into larger software platforms. Daily tasks may include writing code for spatial data analysis, optimizing database queries, collaborating with GIS analysts and data scientists, and maintaining or improving geospatial data pipelines. Engineers often work in multidisciplinary teams and are involved in both the design and implementation phases of projects. This diverse work helps them gain experience across a wide range of industries, such as urban planning, environmental science, transportation, and defense, offering strong opportunities for career growth.
What job categories do people searching Geospatial Software Engineer jobs in Texas look for? The top searched job categories for Geospatial Software Engineer jobs in Texas are:
What cities in Texas are hiring for Geospatial Software Engineer jobs? Cities in Texas with the most Geospatial Software Engineer job openings:
Infographic showing various Geospatial Software Engineer job openings in Texas as of May 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 82% In-person, and 18% Hybrid job distribution, with an average salary of $69,714 per year, or $33.5 per hour.
Machine Learning Engineer (Active Secret Clearance)

Machine Learning Engineer (Active Secret Clearance)

Striveworks

Austin, TX

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren't just deploying AI-they're building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they're deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands-increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks' core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You're right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You're outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

  • Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
  • Orchestrating and automating complex data engineering and analytic pipelines
  • Envisioning, specifying, and, at times, designing and implementing core product functionality
  • Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here's what we're looking for:

  • BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience
  • Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
  • Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
  • Proficiency in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn
  • Exposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
  • Active Secret (or above) US security clearance
  • Due to the nature of this role, candidates must have US citizenship
The Wish List

We're very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

  • Advanced degree in data science, machine learning, computer science, or a related discipline
  • Excellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
  • Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
  • Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes, infrastructure as code, major cloud architectures)
  • Experience with machine learning applied to imagery and/or video data
  • Experience building agentic systems, agentic workflows, or AI agents
  • Experience defining, scoping, planning, and delivering complex technical solutions
  • Experience delivering technology solutions in secure government environments

The anticipated base pay range for this position is $140,000-$165,000/year. Striveworks' total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits
  • Medical/dental/vision insurance
  • Voluntary life, long-term disability, accident, and hospital indemnity insurance
  • HSA and FSA (including dependent care FSA) plans 
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.