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Remote Design Engineer Jobs in Gainesville, FL (NOW HIRING)

Senior Site Reliability Engineer II

Gainesville, FL ยท On-site +1

$125K - $209K/yr

Hybrid (if near an office) or Fully Remote Employment Type: Full-time Department: Engineering / Infrastructure What You'll Do * Design, build, and operate highly available, scalable systems in AWS

Senior Site Reliability Engineer II

Gainesville, FL ยท On-site +1

$125K - $209K/yr

Hybrid (if near an office) or Fully Remote Employment Type: Full-time Department: Engineering / Infrastructure What You'll Do * Design, build, and operate highly available, scalable systems in AWS

Senior Transmission Line Engineer

Gainesville, FL ยท On-site +1

$73K - $132K/yr

... REMOTE). You should minimally meet the knowledge, skills, and abilities listed below. * Bachelor's degree in Civil Engineering and minimum of four (4) years of prior relevant experience in the design ...

Amteck, a nationally recognized Top 50 Electrical Design-Build Contractor, is redefining what it ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Remote Design Engineer information

See Gainesville, FL salary details

$16

$45

$66

How much do remote design engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote design engineer in Gainesville, FL is $45.93, according to ZipRecruiter salary data. Most workers in this role earn between $35.48 and $55.96 per hour, depending on experience, location, and employer.

What does a remote design engineer do?

Remote design engineers work from home or a remote office, and depending on their specialty, may have a wide range of duties and responsibilities. For instance, as an electrical engineer, you use specialized tools and software to design and plan electrical systems, ranging from computer hardware to wide power grids. As an automotive design engineer, you translate ideas and consumer needs into usable products, or may even work on a team to design an entire vehicle line. As an industrial design engineer, you may assist in the development of consumer products, ranging from everything from kitchen gadgets to smartphones to modern furniture. In all cases, you work with a team of other designers and engineers, each contributing expertise to create a final product.

What is a remote design engineer?

A Remote Design Engineer is a professional who creates and develops product designs, systems, or structures while working from a location outside of a traditional office, often from home. They use computer-aided design (CAD) software and collaborate with teams via digital communication tools. Remote Design Engineers can work in various fields such as mechanical, electrical, or civil engineering, and are responsible for turning ideas into detailed technical plans. This role requires strong communication skills, technical expertise, and the ability to work independently. By working remotely, they can contribute to projects from virtually anywhere in the world.

How do remote design engineers effectively collaborate with teams across different time zones?

Remote Design Engineers often work with colleagues, clients, and stakeholders from various locations, making clear communication and effective collaboration essential. They typically use digital tools like project management platforms, video conferencing, and shared design software to synchronize work and provide updates. To overcome time zone differences, teams may schedule regular check-ins during overlapping hours and establish clear documentation practices so everyone stays informed. Being proactive in communication and flexible with meeting times can greatly improve teamwork and project success.

What are the key skills and qualifications needed to thrive as a remote design engineer?

To thrive as a Remote Design Engineer, you need strong expertise in engineering principles, CAD software proficiency, and a relevant engineering degree. Familiarity with tools like AutoCAD, SolidWorks, and collaborative project management platforms is typically required, along with certifications such as Professional Engineer (PE) where applicable. Exceptional communication, problem-solving, and self-motivation are essential soft skills for remote collaboration and project delivery. These skills and qualities are crucial for delivering accurate designs, meeting deadlines, and ensuring seamless teamwork in a remote environment.
What are the most commonly searched types of Design Engineer jobs in Gainesville, FL? The most popular types of Design Engineer jobs in Gainesville, FL are:
What are popular job titles related to Remote Design Engineer jobs in Gainesville, FL? For Remote Design Engineer jobs in Gainesville, FL, the most frequently searched job titles are:
What job categories do people searching Remote Design Engineer jobs in Gainesville, FL look for? The top searched job categories for Remote Design Engineer jobs in Gainesville, FL are:
What cities near Gainesville, FL are hiring for Remote Design Engineer jobs? Cities near Gainesville, FL with the most Remote Design Engineer job openings:
Infographic showing various Remote Design Engineer job openings in Gainesville, FL as of August 2026, with employment types broken down into 82% Full Time, 5% Part Time, 3% Temporary, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $95,525 per year, or $45.9 per hour.

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL โ€ข On-site, Remote

$94K - $130K/yr

Full-time

Re-posted 23 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/ .