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Remote Computer Chip Engineer Jobs in Florida (NOW HIRING)

AP Recruiters

CAD Technician

Juno Beach, FL · On-site +1

... remote work. This role combines advanced CAD expertise with GIS proficiency, focusing on ArcGIS Field Maps configuration, deployment, and training. You will work directly with engineering and ...

AP Recruiters

CAD Technician

Juno Beach, FL · On-site +1

... remote work. This role combines advanced CAD expertise with GIS proficiency, focusing on ArcGIS Field Maps configuration, deployment, and training. You will work directly with engineering and ...

MRINetwork Jobs

Engineer / Product Designer (REMOTE)

Tampa, FL · On-site +1

$121.90K - $146.50K/yr

Engineer / Product Designer (Remote Position) About the Opportunity: Our client, a well-established ... Develop and design new vinyl window and door products using 3D CAD tools (SolidWorks, AutoCAD, etc.

VetsEZ

Backend Engineer (Remote Opportunity)

Miami, FL · Remote

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

VetsEZ

Backend Engineer (Remote Opportunity)

Miami, FL · On-site +1

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

Tetra Tech

Civil CAD Designer II

Orlando, FL · On-site +1

$31 - $40/hr

Tetra Tech is seeking to add a CAD Designer II to its Civil Engineering team. This opportunity is remote position. Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most ...

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Remote Computer Chip Engineer information

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

To thrive as a Remote Computer Chip Engineer, you need a strong background in electrical engineering, digital/analog circuit design, and semiconductor fundamentals, typically supported by a relevant degree. Familiarity with CAD tools like Cadence or Synopsys, experience with HDL languages (such as Verilog or VHDL), and knowledge of simulation and verification systems are essential. Excellent problem-solving, self-motivation, and effective remote communication skills set top engineers apart in virtual teams. These competencies ensure high-quality chip development, efficient collaboration, and successful project delivery in a remote work environment.

What are some common challenges faced by Remote Computer Chip Engineers, and how can they be addressed?

Remote Computer Chip Engineers often face challenges related to effective collaboration, particularly when working across different time zones or with team members in various locations. Communication about design updates, debugging, and hardware testing can require extra coordination. To address these issues, teams typically use robust project management tools, regular video meetings, and clear documentation practices. Establishing strong communication channels and proactively sharing progress help ensure everyone stays aligned and projects move forward efficiently.

What does a Remote Computer Chip Engineer do?

A Remote Computer Chip Engineer designs, develops, tests, and optimizes microchips and integrated circuits while working from a remote location. They use specialized software tools to create blueprints, simulate chip behavior, and collaborate with other engineers online. Their work is crucial in developing faster, more efficient processors and electronic devices. By working remotely, they leverage digital communication and project management tools to coordinate with teams around the world.
What are the most commonly searched types of Computer Chip Engineer jobs in Florida? The most popular types of Computer Chip Engineer jobs in Florida are:
What are popular job titles related to Remote Computer Chip Engineer jobs in Florida? For Remote Computer Chip Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Computer Chip Engineer jobs in Florida look for? The top searched job categories for Remote Computer Chip Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Computer Chip Engineer jobs? Cities in Florida with the most Remote Computer Chip Engineer job openings:
Remote Computer Chip Engineer jobs near you
Infographic showing various Remote Computer Chip Engineer job openings in Florida as of May 2026, with employment types broken down into 5% As Needed, 44% Full Time, 38% Part Time, and 13% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94.70K - $130K/yr

Full-time

Posted 14 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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