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Remote Engineer Jobs in Gainesville, FL (NOW HIRING)

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DevOps Engineer

Gainesville, FL · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Software Engineer

Gainesville, FL · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Frontend Engineer

Gainesville, FL · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Mobile Software Engineer

Gainesville, FL · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Backend Software Engineer

Gainesville, FL · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Senior Software Engineer

Gainesville, FL · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Frontend Software Engineer

Gainesville, FL · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Staff Software Engineer

Gainesville, FL · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Quality Assurance Engineer

Gainesville, FL · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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SDLC Engineer - AI Trainer

Gainesville, FL · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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How much do remote engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote engineer in Gainesville, FL is $104,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $137,300.00 per year, depending on experience, location, and employer.

How to Get a Remote Job as an Engineer?

The primary qualifications for getting a remote job as an engineer are a bachelor's degree in a relevant field and several years of experience in a programming role. Many software engineers spend time in other roles to gain experience before applying for this job, which is a relatively senior programming role. Companies often have specific requests or requirements for software engineers, such as experience with particular types of programming, so diversifying your skills and working with a variety of different systems can help you stand out from other engineers. Fulfilling the responsibilities and duties of a remote software engineer requires communication skills and reliable access to high-speed internet.

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

To thrive as a Remote Engineer, you need strong technical expertise in software development, problem-solving abilities, and a relevant degree in computer science or engineering. Familiarity with version control systems (like Git), cloud platforms, and remote collaboration tools such as Slack and Jira is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for remote success. These competencies ensure productivity, effective teamwork, and the ability to deliver high-quality solutions from any location.

How does a Remote Engineer typically collaborate with team members across different time zones?

Remote Engineers often work with colleagues who are spread across various locations and time zones, which requires strong communication and coordination skills. Collaboration is usually facilitated through tools like Slack, Zoom, or Microsoft Teams, with scheduled meetings arranged to accommodate as many team members as possible. It's common to use shared project management platforms and clear documentation to keep everyone aligned. Flexibility and proactive communication are key to ensuring seamless teamwork and project progress, even when direct overlap in working hours is limited.

What is a Remote Engineer?

A Remote Engineer is a professional who designs, develops, tests, and maintains software, systems, or infrastructure while working outside of a traditional office environment, typically from home or another remote location. Remote Engineers use digital tools and communication platforms to collaborate with their teams and manage projects. This role requires strong technical skills, self-motivation, and the ability to work independently. Many technology companies offer remote engineering positions to access a broader talent pool and provide greater flexibility for employees.

What is the difference between Remote Engineer vs Remote Developer?

AspectRemote EngineerRemote Developer
Required CredentialsBachelor's in Engineering, certifications like Cisco, CompTIABachelor's in Computer Science or related, coding certifications
Work EnvironmentDesign, troubleshoot, and maintain systems, often in technical or engineering teamsWrite, test, and deploy software applications, often in development teams
Employer & Industry UsageEngineering firms, tech companies, manufacturingTech companies, startups, software firms
Common Search & Comparison IntentUnderstanding engineering roles in remote settingsComparing software development roles remotely

Remote Engineers focus on designing, maintaining, and troubleshooting technical systems, often requiring engineering-specific credentials. Remote Developers primarily write and develop software applications, with a focus on coding skills. While both roles can be remote and tech-oriented, their core responsibilities and required qualifications differ, catering to different industry needs.

More about Remote Engineer jobs
What are the most commonly searched types of Engineer jobs in Gainesville, FL? The most popular types of Engineer jobs in Gainesville, FL are:
What are popular job titles related to Remote Engineer jobs in Gainesville, FL? For Remote Engineer jobs in Gainesville, FL, the most frequently searched job titles are:
What job categories do people searching Remote Engineer jobs in Gainesville, FL look for? The top searched job categories for Remote Engineer jobs in Gainesville, FL are:
What cities near Gainesville, FL are hiring for Remote Engineer jobs? Cities near Gainesville, FL with the most Remote Engineer job openings:
Remote Engineer jobs near you

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94.70K - $130K/yr

Full-time

Posted 12 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/ .

Apply