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Remote Robot Design Jobs in Florida (NOW HIRING)

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

Design and maintain automated ML training pipelines. * Build infrastructure for large-scale ... robotics, animation, virtual reality, biomechanics, and virtual production * Remote-first ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

Design and maintain automated ML training pipelines. * Build infrastructure for large-scale ... robotics, animation, virtual reality, biomechanics, and virtual production * Remote-first ...

CEI

Senior Clarity PPM Software Developer

Orlando, FL · Remote

$75 - $80/hr

Location: 100% remote, EST hours, FL-local candidates preferred * Contract: W2 only, 12 month ... Design, develops, tests enhancements to Clarity configuration and integrations on the DX T&D ...

Topcon Healthcare Solutions

Sales Director

Pensacola, FL · On-site +1

$120K - $140K/yr

Our robotic devices deliver simplicity without compromise, by capturing clear images with the push ... With office locations throughout North America, whether you are on-site, remote, or hybrid, our ...

Topcon Medical Systems

Sales Director

Pensacola, FL · On-site +1

$120K - $140K/yr

Our robotic devices deliver simplicity without compromise, by capturing clear images with the push ... With office locations throughout North America, whether you are on-site, remote, or hybrid, our ...

All JobsRemote Robot Design JobsRemote Robot Design Jobs in Florida

Remote Robot Design information

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

To thrive as a Remote Robot Designer, you need a strong background in mechanical engineering, robotics, and computer-aided design (CAD), typically supported by a relevant degree. Familiarity with programming languages (such as Python or C++), robotics simulation software (like ROS or Gazebo), and version control systems is essential. Creative problem-solving, effective remote communication, and strong project management skills help individuals excel in collaborative, distributed teams. These abilities are vital to efficiently design, prototype, and refine robotic systems while working remotely with cross-functional teams.

What is remote robot design?

Remote robot design involves creating, developing, and testing robotic systems from a distance, often using digital tools and online collaboration platforms. Designers use software to plan and simulate robot functions, enabling teams to work together without being physically present in the same location. This approach allows for greater flexibility, access to global expertise, and the ability to rapidly prototype and iterate on ideas. Remote robot design is increasingly popular in industries such as manufacturing, healthcare, and research, where collaboration across different regions is essential.

What are some common challenges faced by professionals working in remote robot design roles?

One of the main challenges in remote robot design is effective collaboration with team members who may be distributed across different time zones and disciplines, such as mechanical engineering, software development, and electronics. Clear communication and strong project management skills are essential to align design specifications and integrate feedback efficiently. Additionally, testing prototypes and troubleshooting issues remotely can require creative use of simulation tools and remote access technologies. Professionals in this field often need to be proactive in seeking input and sharing progress to ensure project milestones are met and the final product meets performance expectations.
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Remote Robot Design jobs near you

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $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/ .

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