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Remote Detection Engineer Jobs in Florida (NOW HIRING)

Lockheed Martin

ASIC & FPGA Design Engineer Stf

Orlando, FL · On-site +1

$114K - $158K/yr

Perform or support EMIR analysis to detect and remediate IR drop and electromigration concerns ... This position is remote. MUST BE A U.S. CITIZEN - This position is located at a facility that ...

Waypoint Human Capital

Principal Engineer

Tampa, FL · On-site +1

Principal Engineer Position Type: Full-time, Remote Location: Tampa, FL (Preferred) Clearance: (At ... Contribute to anomaly detection, reporting, and advanced analytics capabilities. • Support ...

Waypoint Human Capital

Principal Engineer

Tampa, FL · On-site +1

Principal Engineer Position Type: Full-time, Remote Location: Tampa, FL (Preferred) Clearance: (At ... Contribute to anomaly detection, reporting, and advanced analytics capabilities. • Support ...

PolySwarm

Senior Software Engineer

Miami, FL · On-site +1

$117K - $154K/yr

The PolySwarm marketplace is a launchpad for new technologies and novel threat detection methods ... Comfortable working in a remote-only environment * Analytical mind * Confidence to share your ideas

PolySwarm

Senior Software Engineer

Miami, FL · On-site +1

$117K - $154K/yr

The PolySwarm marketplace is a launchpad for new technologies and novel threat detection methods ... Comfortable working in a remote-only environment * Analytical mind * Confidence to share your ideas

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Remote Detection Engineer information

What are Remote Detection Engineers?

Remote Detection Engineers are professionals who use technology and specialized tools to identify, monitor, and analyze data or threats from a distance, often in the realm of cybersecurity or environmental monitoring. They typically work with remote sensing equipment, network security systems, or other detection technologies to spot issues without needing to be physically present. Their role is critical for organizations that require constant vigilance over digital assets or remote environments. In cybersecurity, for example, they help detect and respond to threats to protect sensitive information. Remote Detection Engineers often collaborate with IT, security, or scientific teams depending on their industry.

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

To thrive as a Remote Detection Engineer, you need a strong background in cybersecurity, threat detection, and incident response, often supported by a degree in computer science or a related field. Familiarity with SIEM platforms (like Splunk or ELK Stack), EDR tools, and certifications such as CISSP or GIAC are commonly required. Analytical thinking, problem-solving, and clear communication are critical soft skills for interpreting threats and collaborating with distributed teams. These skills ensure timely identification and mitigation of security threats, protecting organizational assets in a remote work environment.

How does a Remote Detection Engineer typically collaborate with other cybersecurity teams to improve threat detection?

As a Remote Detection Engineer, you will regularly collaborate with Security Operations Center (SOC) analysts, incident responders, and threat intelligence teams. Your main role involves developing and fine-tuning detection logic, which often requires direct feedback from analysts handling alerts and incidents. You may participate in virtual meetings, conduct knowledge-sharing sessions, and provide technical guidance to ensure detections are actionable and relevant. This cross-team collaboration is essential for refining detection strategies, addressing false positives, and staying ahead of emerging threats.
What are the most commonly searched types of Detection Engineer jobs in Florida? The most popular types of Detection Engineer jobs in Florida are:
What are popular job titles related to Remote Detection Engineer jobs in Florida? For Remote Detection Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Detection Engineer jobs in Florida look for? The top searched job categories for Remote Detection Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Detection Engineer jobs? Cities in Florida with the most Remote Detection Engineer job openings:
Remote Detection Engineer jobs near you
Infographic showing various Remote Detection Engineer job openings in Florida as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Re-posted 29 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