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Freelance Remote Hardware Engineer Jobs in Florida

Thrive

Systems Engineer

Sarasota, FL · On-site +1

This role provides first-contact remote technical support for network, server, and end-user systems ... hardware, printers, and peripherals. * Basic networking knowledge, including TCP/IP, DNS, and DHCP.

Synnex

Physical AI Engineer

Clearwater, FL · On-site +1

... real hardware. Day to day, you will design simulation environments, produce large volumes of ... Remote or hybrid, US-based, with periodic time onsite at our robotics facility. * Occasional ...

ABB

Senior Project Engineer

Lake Mary, FL · On-site +1

$86K - $112K/yr

OT cybersecurity and secure remote access solutions (VPNs, firewalls, IEC 62443 compliance ... Strong knowledge of industry standards and hardware platforms (UL, IEEE, IEC; Cisco, Hirschmann ...

Arthrex

AV Systems Programmer

Fort Myers, FL · On-site +1

$63K - $84K/yr

... remote software applications * Configure and integrate AV hardware such as switchers, DSPs ... AV Systems Programmer Product Management Location:

Ford Motor Company

Embedded Software Engineer

Sunrise, FL · On-site +1

$125K - $165K/yr

... hardware testing. The candidate will have the opportunity to work with local and remote team ... Bachelor's Degree in Electrical Engineering, or Computer Engineering, (Not Computer Science or ...

Quvia

Senior Solutions Engineer - Platform & Analytics

Miami, FL · On-site +1

$52.75 - $68.25/hr

We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ... This position requires high-level thinking to architect solutions across a variety of hardware and ...

SpaceX

Security Engineer (Embedded OT)

Cape Canaveral, FL · On-site +1

$150K - $180K/yr

Experience working with special purpose security hardware such as Trusted Platform Modules (TPMs ... Hybrid or remote work will not be considered. * Ability to pass Air Force background check for Cape ...

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Freelance Remote Hardware Engineer information

What is the difference between Freelance Remote Hardware Engineer vs Freelance Remote Electronics Designer?

AspectFreelance Remote Hardware EngineerFreelance Remote Electronics Designer
CredentialsEngineering degree, certifications in hardware design or embedded systemsDesign certifications, CAD and PCB design skills, engineering background
Work EnvironmentRemote, project-based, collaborating with hardware manufacturing teamsRemote, focused on circuit and PCB design, often working with hardware engineers
Industry UsageElectronics, IoT, consumer devices, industrial hardwareConsumer electronics, IoT devices, prototyping, and product development

Both roles often collaborate but differ mainly in scope: hardware engineers focus on building and testing hardware systems, while electronics designers specialize in circuit and PCB design. Freelance remote hardware engineers typically oversee entire hardware development, whereas electronics designers focus on detailed design tasks.

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Senior Computer Vision Engineer ID72408

AgileEngine

Boca Raton, FL • On-site, Remote

$98K - $135K/yr

Full-time

Posted 15 days ago

Key responsibilities

  • Own the applied model development process across computer vision, AI/ML, and broader data science use cases.

  • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis.

  • Evaluate, train, fine-tune, and analyze model architectures, considering real-world constraints to ensure optimal performance.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.

PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.