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Remote Software Developer Jobs in High Springs, FL

Feathr

Principal Platform Engineer

Gainesville, FL · Remote

$165K - $180K/yr

Feathr's software marketing platform equips nonprofits with the tools they need to build purposeful ... Fully Remote, Health/ Dental/ Vision, Paid Holidays/ Vacation/ Sick time, and more! Your Work: As a ...

Amteck, LLC

BIM Technician - Electrical

Gainesville, FL · On-site +1

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

All JobsSoftware Developer JobsRemote Software Developer JobsRemote Software Developer Jobs in High Springs, FL

Remote Software Developer information

See High Springs, FL salary details

$41.4K

$96.5K

$143.2K

How much do remote software developer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote software developer in High Springs, FL is $96,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $112,200.00 per year, depending on experience, location, and employer.

What Is the Job of Remote Software Developers?

Remote software developers design and create computer software programs and systems for their employer or client. Unlike in-house software developers, remote software developers work from home or another location outside of the office. As a remote software developer, you discuss the kind of program you need to create, making sure to clarify with your department or with your client what they need in their application. You may develop an entirely new program or improve an existing one. Remote developers are responsible for a program’s overall framework, and they design precise workflow charts that explain to programmers what code is needed for different aspects of the program. Remote software developers also design tests and protocols for the QA department to follow when they are testing the application.

What is the difference between Remote Software Developer vs Remote Web Developer?

AspectRemote Software DeveloperRemote Web Developer
Required SkillsProgramming languages, software architecture, codingHTML, CSS, JavaScript, front-end/back-end web development
Work EnvironmentSoftware companies, tech firms, startupsWeb agencies, digital agencies, tech companies
CertificationsComputer Science degree, coding bootcampsWeb development certifications, HTML/CSS courses
Common UsageDeveloping applications, software solutionsBuilding websites, web applications

Remote Software Developers focus on creating software applications and systems, requiring programming skills and software architecture knowledge. Remote Web Developers specialize in designing and building websites and web applications, often with expertise in HTML, CSS, and JavaScript. While both roles involve coding and can be remote, their primary focus and skill sets differ, making it important to choose the role that aligns with your expertise and career goals.

How do remote software developers stay connected and collaborate effectively with their teams?

Remote software developers typically use a variety of collaboration tools, such as Slack, Microsoft Teams, and Zoom, to communicate with colleagues and participate in daily stand-ups or sprint planning meetings. Version control systems like GitHub or GitLab are essential for code collaboration and review. Regular check-ins, clear documentation, and agile workflows help ensure everyone stays aligned and productive despite working from different locations. Proactive communication and time management are crucial for overcoming the challenges of remote work and successfully contributing to team goals.

What is a Remote Software Developer?

A Remote Software Developer is a professional who designs, builds, and maintains software applications while working from a location outside of a traditional office, often from home or another remote setting. These developers collaborate with team members using online communication and project management tools. Remote work allows for greater flexibility and access to global job opportunities, but it also requires strong self-motivation and communication skills. Companies hire remote software developers to tap into a wider talent pool and to offer flexible work arrangements.

What are the key skills and qualifications needed to thrive as a Remote Software Developer, and why are they important?

To thrive as a Remote Software Developer, you need strong programming skills, problem-solving ability, and a relevant degree or equivalent experience in computer science or software engineering. Familiarity with common development tools (such as Git, Visual Studio Code, and CI/CD platforms) and frameworks, as well as knowledge of cloud services, are typically required. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote setting. These skills and qualities are essential for delivering high-quality software, meeting deadlines, and contributing to distributed teams.
More about Remote Software Developer jobs
What are the most commonly searched types of Software Developer jobs in High Springs, FL? The most popular types of Software Developer jobs in High Springs, FL are:
What are popular job titles related to Remote Software Developer jobs in High Springs, FL? For Remote Software Developer jobs in High Springs, FL, the most frequently searched job titles are:
What cities near High Springs, FL are hiring for Remote Software Developer jobs? Cities near High Springs, FL with the most Remote Software Developer job openings:
Remote Software Developer jobs near you
Infographic showing various Remote Software Developer job openings in High Springs, FL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $96,503 per year, or $46.4 per hour.

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Re-posted 3 days 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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