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Remote Computer Chip Engineer Jobs in Tampa, FL (NOW HIRING)

Hansoninc

Deputy CAD Administrator

Tampa, FL · On-site +1

$50/hr

Position can be located in any of our offices, hybrid or fully remote Key Responsibilities CAD ... Collaborate with engineering, design, and project teams to resolve CAD related challenges. * Assist ...

Govcio LLC

Sr. Systems Engineer- Hybrid Remote

Tampa, FL · On-site +1

$95K - $130K/yr

This is an on-site requirement with flexible remote work based on project requirements ... The qualified mid-level systems engineers will have a background in IT, computer systems ...

Quora

iOS Engineer -Remote

Tampa, FL · Remote

$61.63 - $88.47/hr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

Quora

iOS Engineer -Remote

Saint Petersburg, FL · Remote

$61.63 - $88.47/hr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

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Remote Computer Chip Engineer information

See Tampa, FL salary details

$45.8K

$114.8K

$129.9K

How much do remote computer chip engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote computer chip engineer in Tampa, FL is $114,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $124,300.00 per year, depending on experience, location, and employer.

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 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 are the most commonly searched types of Computer Chip Engineer jobs in Tampa, FL?

The most popular types of Computer Chip Engineer jobs in Tampa, FL are:

What are popular job titles related to Remote Computer Chip Engineer jobs in Tampa, FL?

For Remote Computer Chip Engineer jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Remote Computer Chip Engineer jobs in Tampa, FL look for?

The top searched job categories for Remote Computer Chip Engineer jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Remote Computer Chip Engineer jobs?

Cities near Tampa, FL 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 Tampa, FL as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $114,834 per year, or $55.2 per hour.

Senior Computer Vision Engineer ID72408

Tampa, FL • On-site, Remote

AgileEngine
Software Development • 201 - 500 employees
Learn more about AgileEngineexternal

$98K - $135K/yr

Full-time

Posted 21 days ago

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.