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Remote Packaging Engineer Jobs in Florida (NOW HIRING)

Infrastructure Engineer

Fort Myers, FL ยท On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Package and deploy enterprise applications using MSI, EXE, and scripted installations. * Monitor ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... GenerousPaidTime Off Packages * Employee Stock Purchase Plan * PaidParental & Family Leave * and ...

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Complete insurance package on Day-1 that includes a plethora of health and wellness programs

Senior Forensic Engineer

Orlando, FL ยท On-site +1

$93K - $127K/yr

Overview Forensic Structural Engineer - Hybrid/Remote - Orlando, FL At NV5, we are a team of ... benefits package including medical, dental, life insurance, PTO, 401(k) and professional ...

Senior Forensic Engineer

Orlando, FL ยท On-site +1

$93K - $127K/yr

Forensic Structural Engineer - Hybrid/Remote - Orlando, FL At NV5, we are a team of talented ... benefits package including medical, dental, life insurance, PTO, 401(k) and professional ...

Forensic Structural Engineer - Hybrid/Remote - Tampa, FL At NV5, we are a team of talented ... benefits package including medical, dental, life insurance, PTO, 401(k) and professional ...

Overview Forensic Structural Engineer - Hybrid/Remote - Tampa, FL At NV5, we are a team of talented ... benefits package including medical, dental, life insurance, PTO, 401(k) and professional ...

We offer a comprehensive and competitive benefits package that supports the well-being of our team ... Structural Engineer (SE) The Position The Structural Engineer (SE) for Above Group shall contribute ...

We offer a comprehensive and competitive benefits package that supports the well-being of our team ... Structural Engineer (SE) The Position The Structural Engineer (SE) for Above Group shall contribute ...

Mid-Senior Transmission Line Engineer

Orlando, FL ยท On-site +1

$130K - $165K/yr

Prepare engineering calculations, reports, drawings, and construction packages * Coordinate with ... Remote flexibility available for the right candidate * Opportunity to work on major transmission ...

Apply Early

We offer a comprehensive and competitive benefits package that supports the well-being of our team ... Electrical Engineer (EE) The Position The Electrical Engineer (EE) for Above Group shall contribute ...

We offer a comprehensive and competitive benefits package that supports the well-being of our team ... Electrical Engineer (EE) The Position The Electrical Engineer (EE) for Above Group shall contribute ...

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Remote Packaging Engineer information

What is a Remote Packaging Engineer job?

A Remote Packaging Engineer designs, develops, and tests packaging solutions for products while working off-site. They collaborate with cross-functional teams to ensure packaging meets functionality, sustainability, and cost requirements. Responsibilities may include material selection, prototyping, compliance testing, and optimizing packaging processes. Strong CAD skills, knowledge of packaging regulations, and experience with various materials are often required. This role is ideal for those who can work independently while coordinating with teams remotely.

What are the key skills and qualifications needed to thrive in the Remote Packaging Engineer position, and why are they important?

To thrive as a Remote Packaging Engineer, you need a solid background in packaging design, materials science, and mechanical or industrial engineering, typically backed by a relevant degree. Familiarity with CAD software, packaging simulation tools, industry standards, and certifications like ISTA or Six Sigma is highly valued. Strong communication, project management, and problem-solving abilities are essential for effective remote collaboration with cross-functional teams. These skills ensure the development of innovative, cost-effective packaging solutions while maintaining quality and compliance, even when working outside a traditional office setting.

What are some common challenges faced by Remote Packaging Engineers and how can they be overcome?

Remote Packaging Engineers often face challenges in coordinating effectively with manufacturing teams, staying aligned with rapid project changes, and ensuring proper testing of packaging prototypes. To overcome these, engineers leverage virtual collaboration tools, maintain clear and regular communication with stakeholders, and may utilize remote-access lab equipment or work with third-party testing facilities. Proactively sharing design updates, participating in video calls for project reviews, and staying organized with project management software can help ensure productive teamwork and timely project delivery. Effective documentation and a structured workflow are key to overcoming the unique challenges of remote work in packaging engineering.

What are the most commonly searched types of Packaging Engineer jobs in Florida? The most popular types of Packaging Engineer jobs in Florida are:
What are popular job titles related to Remote Packaging Engineer jobs in Florida? For Remote Packaging Engineer jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Remote Packaging Engineer jobs? Cities in Florida with the most Remote Packaging Engineer job openings:
Infographic showing various Remote Packaging Engineer job openings in Florida as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution.

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL โ€ข On-site, Remote

$94K - $130K/yr

Full-time

Posted 19 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/ .