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Geospatial Engineer Jobs in Gainesville, FL (NOW HIRING)

NV5

Transportation Project Engineer

Alachua, FL · On-site

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 ... As engineers, architects, construction/program managers, environmental professionals and beyond, we ...

NV5

Transportation Project Engineer

Alachua, FL · On-site

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 ... As engineers, architects, construction/program managers, environmental professionals and beyond, we ...

NV5

Senior Geotechnical Engineer

Alachua, FL

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 ... As engineers, architects, construction/program managers, environmental professionals and beyond, we ...

NV5

Senior Geotechnical Engineer

Alachua, FL · On-site

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 ... As engineers, architects, construction/program managers, environmental professionals and beyond, we ...

NV5

Transportation Project Engineer

Alachua, FL · On-site

$60K - $79K/yr

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 ... As engineers, architects, construction/program managers, environmental professionals and beyond, we ...

NV5

Senior Geotechnical Engineer

Alachua, FL · On-site

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 ... As engineers, architects, construction/program managers, environmental professionals and beyond, we ...

NV5

SUE Technician II

Alachua, FL

$18 - $24.50/hr

... Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities where we live and work. As engineers ...

NV5

SUE Technician II

Alachua, FL · On-site

$18 - $24.50/hr

... Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities where we live and work. As engineers ...

NV5

SUE Technician II

Alachua, FL · On-site

$18 - $24.50/hr

... Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities where we live and work. As engineers ...

NV5

Project Accountant

Alachua, FL

$54K - $72K/yr

NV5 is a provider of Consulting and Engineering (C&E) services to public and private sector clients ... Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 ...

NV5

Project Accountant

Alachua, FL · On-site

$54K - $72K/yr

Overview NV5 is a provider of Consulting and Engineering (C&E) services to public and private ... Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 ...

NV5

Project Accountant

Alachua, FL · On-site

$54K - $72K/yr

Overview NV5 is a provider of Consulting and Engineering (C&E) services to public and private ... Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 ...

All JobsGeospatial Engineer JobsGeospatial Engineer Jobs in Gainesville, FL

Geospatial Engineer information

See Gainesville, FL salary details

$4

$42

$81

How much do geospatial engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for geospatial engineer in Gainesville, FL is $42.25, according to ZipRecruiter salary data. Most workers in this role earn between $32.45 and $52.26 per hour, depending on experience, location, and employer.

What is the average salary of a geospatial engineer?

The average salary of a geospatial engineer typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with advanced skills in GIS software, remote sensing, and data analysis tend to earn higher salaries.

What does a geospatial engineer do?

A geospatial engineer analyzes and interprets geographic data using GIS (Geographic Information Systems), remote sensing, and mapping tools. They develop spatial models, create maps, and support projects related to land use, environmental management, or infrastructure planning, often requiring technical skills and certifications in geospatial technologies.

What is a geospatial engineer?

A geospatial engineer uses modern mapping technologies, such as GIS and GPS, to map, collect, and analyze geographic data. They work with mapping or visualization tools to create 2D or 3D maps of building sites, national parks, or other locations of interest. Geospatial engineers also locate archeological sites or potential sites for civil engineering projects, such as dams or bridges. To pursue a career as a geospatial engineer, you need a bachelor’s degree in engineering, geography, geographic information systems, or a related field. Other qualifications include proficiency in mapping software, strong data analysis skills, and job experience in the industry.

How does a geospatial engineer typically collaborate with other departments within an organization?

Geospatial Engineers frequently work alongside professionals from various departments, such as urban planners, civil engineers, environmental scientists, and IT specialists. Collaboration often involves integrating spatial data into broader project workflows, providing technical expertise on mapping technologies, and ensuring that geospatial solutions align with organizational goals. Effective communication and teamwork are essential, as Geospatial Engineers must translate complex data into actionable insights for non-technical stakeholders and support cross-functional projects. This collaborative environment offers opportunities to develop both technical and interpersonal skills, contributing to professional growth.

What are the key skills and qualifications needed to thrive as a geospatial engineer, and why are they important?

To thrive as a Geospatial Engineer, you need a strong background in geography, cartography, GIS, and spatial data analysis, typically supported by a relevant bachelor's degree. Proficiency with GIS software like ArcGIS or QGIS, remote sensing tools, and possibly certifications such as GISP are common requirements. Strong problem-solving skills, attention to detail, and effective communication are standout soft skills in this field. These skills and qualifications are crucial for accurately analyzing spatial data, creating reliable maps, and supporting informed decision-making across various industries.

What is the difference between Geospatial Engineer vs GIS Analyst?

AspectGeospatial EngineerGIS Analyst
Required CredentialsBachelor's in Geospatial Science, GIS, or related field; certifications like GISPBachelor's in Geography, GIS, or related; certifications like GISP
Work EnvironmentFieldwork, data collection, GIS software developmentData analysis, map creation, spatial data management
Employer & IndustryEngineering firms, government agencies, tech companiesGovernment agencies, urban planning, environmental organizations
Common Search & ComparisonYesYes

While both Geospatial Engineers and GIS Analysts work with spatial data, Geospatial Engineers focus more on developing GIS systems, managing data infrastructure, and integrating geospatial technology into engineering projects. GIS Analysts primarily analyze spatial data, create maps, and support decision-making through data visualization. Both roles require similar credentials and often collaborate, but their core responsibilities differ in scope and application.

More about Geospatial Engineer jobs

What are the most commonly searched types of Geospatial Engineer jobs in Gainesville, FL?

The most popular types of Geospatial Engineer jobs in Gainesville, FL are:

What are popular job titles related to Geospatial Engineer jobs in Gainesville, FL?

For Geospatial Engineer jobs in Gainesville, FL, the most frequently searched job titles are:

What job categories do people searching Geospatial Engineer jobs in Gainesville, FL look for?

The top searched job categories for Geospatial Engineer jobs in Gainesville, FL are:

What cities near Gainesville, FL are hiring for Geospatial Engineer jobs?

Cities near Gainesville, FL with the most Geospatial Engineer job openings:

Geospatial Engineer jobs near you
Infographic showing various Geospatial Engineer job openings in Gainesville, FL as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $87,873 per year, or $42.2 per hour.

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Re-posted 1 hour ago

Job description

Satlantis is a leading-edge company specializing in high-performance satellite technology and data processing. We are at the forefront of innovation, developing advanced solutions for Earth observation and space exploration. Join our dynamic team in Gainesville, Florida, and contribute to groundbreaking projects that shape the future of satellite technology. For more information about the company, please visit www.satlantis.com .
Position Summary
We are seeking a highly motivated and experienced Senior Computer Vision Engineer with strong technical leadership to drive Satlantis US's computer vision and imagery understanding initiatives. The ideal candidate combines deep expertise in modern vision systems with pragmatic delivery: you will design, develop, evaluate, and deploy computer vision models and pipelines that operate on large-scale satellite imagery and geospatial data products.
This is a hands-on role where you will own vision workstreams end-to-end-from problem definition and dataset strategy to model development, production deployment, performance optimization, and iteration-while setting engineering standards, mentoring teammates, and partnering closely with engineering, product, and mission teams. You will help ensure our computer vision systems are accurate, robust, scalable, and operationally effective in real-world Earth-observation workflows.
What you'll do:
  • Own your developments. Lead high-impact computer vision initiatives such as segmentation, object detection, classification, image matching, semantic retrieval, change detection, tracking, and anomaly detection over satellite imagery and derived geospatial products, delivering measurable improvements in model quality and operational outcomes.
  • Translate problems into vision systems. Convert customer needs, mission requirements, and research goals into well-scoped computer vision problems, define success metrics and KPIs (e.g. precision/recall, mAP, IoU, F1, latency, throughput, memory footprint), and establish acceptance criteria and validation plans.
  • Design datasets that win. Drive dataset strategy for vision applications, including annotation protocols, tiling and sampling strategies, class balance, hard-negative mining, augmentation policies, domain-shift analysis, and label-quality audits. Establish repeatable dataset versioning and documentation practices.
  • Build robust training and evaluation pipelines. Implement reproducible experimentation, benchmarking, ablation studies, and error-analysis workflows for computer vision models, including geospatially aware evaluation where applicable.
  • Advance model architectures. Develop and improve state-of-the-art computer vision approaches, including CNNs, transformers, encoder-decoder architectures, self-supervised learning, multi-modal fusion, and foundation-model adaptation for remote sensing imagery. Optimize solutions for real operational constraints such as image resolution, viewing conditions, atmospheric noise, and multi-temporal data.
  • Operationalize vision models. Partner with software and platform engineers to productionize vision systems, including model packaging, inference optimization, deployment pipelines, monitoring, drift detection, versioning, rollback strategies, and performance tuning across heterogeneous compute environments.
  • Raise the engineering bar. Set standards for code quality, reproducibility, model validation, benchmarking, documentation, and peer review. Write clear technical design documents and decision memos that align stakeholders and accelerate execution.

Skills and experience (required):
  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Remote Sensing, Robotics, or a related field.
  • 3+ years of professional experience in computer vision, machine learning, or applied AI, including delivering vision models into production or operational workflows.
  • Strong proficiency in Python for machine learning and computer vision workflows; ability to write clean, maintainable, and well-tested code.
  • Deep knowledge of computer vision fundamentals, including image representations, feature extraction, geometric reasoning, dense prediction, detection, segmentation, and model evaluation.
  • Hands-on experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow, and practical experience implementing modern vision architectures.
  • Strong understanding of training and inference optimization, including data loading efficiency, batching, mixed precision, model compression, and performance-aware experimentation.
  • Experience working with large-scale imagery or visual datasets and building pipelines that are reliable and reproducible.
  • Strong communication skills, with the ability to explain complex technical trade-offs clearly to cross-functional stakeholders.

Nice to have (preferred)
  • Geospatial / satellite domain experience: GDAL, Rasterio, projections/CRS, tiling strategies, GeoTIFF/COG/NetCDF, STAC/PgSTAC, and geospatial image-quality considerations.
  • Remote-sensing computer vision: experience with multi-spectral or panchromatic imagery, super-resolution, image fusion, orthorectification-aware workflows, and change detection in Earth-observation contexts.
  • Spatiotemporal vision modeling: time-series imagery, temporal fusion, motion/change analysis, event detection, or tracking across repeated satellite captures.
  • MLOps / production AI: model serving, monitoring, experiment tracking (e.g. W&B, MLflow, CometML), orchestration (Airflow, Argo, ZenML), and lifecycle management.
  • Cloud & compute: experience training and running inference on AWS/GCP/Azure and on-prem HPC/cluster environments, including SLURM-managed GPU/CPU fleets and Kubernetes-based infrastructure; strong understanding of containers, distributed training, GPU scheduling, storage/performance bottlenecks, and cost/performance tuning.
  • Foundation models for vision / Earth observation: fine-tuning, embedding extraction, retrieval systems, transfer learning, promptable models, and multimodal representation learning.
  • C++ or performance-oriented deployment experience: OpenCV, ONNX, TensorRT, Triton Inference Server, CUDA optimization, or edge/real-time inference workflows.
  • Familiarity with data governance and quality frameworks, including lineage, validation checks, and dataset documentation.

Work Authorization:
This role will not sponsor any employment visas. Candidates must have and maintain unrestricted legal authorization to work in the U.S. now and in the future, without requiring employer-sponsored visa support.
Location & Work Model:
Full-time, in-person position in Gainesville, Florida. You'll work closely with engineering and business teams on impactful, real-world satellite analytics and AI systems-helping deliver reliable, scalable capabilities that push forward the state of the art in Earth observation.
Why Join Satlantis?
  • Be part of a pioneering company at the forefront of space technology.
  • Work on challenging and impactful projects that have real-world applications.
  • Collaborate with a team of brilliant and passionate engineers and scientists.
  • Competitive salary and benefits package.
  • Opportunity for professional growth and development in a rapidly expanding industry.
  • Enjoy the vibrant community and quality of life in Gainesville, Florida. Learn more at https://www.visitgainesville.com/ .

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