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Robotics Engineer Jobs in Gainesville, FL (NOW HIRING)

Evergen

Operations Packaging Engineer

Alachua, FL · On-site

$65K - $85K/yr

The Operations Packaging Engineer should be a self-starter, have a hands-on approach in performing ... Familiarity with packaging robotics and automation. * Experience with packaging-related software.

T2 Utility Engineers

Survey Field Technician II

Lake City, FL · On-site

$14 - $19.25/hr

Join T2 Utility Engineers (T2ue) in Lake City, FL to play an integral role as a member of our ... GPS, total stations / robotic total stations, digital/automatic levels, etc. * Learn the operation ...

NV5

Instrument Person

Alachua, FL · On-site

NV5 is a provider of professional and technical engineering and consulting solutions to public and ... Experience with Trimble GPS and robotic equipment, TDS software a plus * Read a survey grade level

NV5

Instrument Person

Alachua, FL

Overview NV5 is a provider of professional and technical engineering and consulting solutions to ... Experience with Trimble GPS and robotic equipment, TDS software a plus * Read a survey grade level

NV5

Instrument Person

Alachua, FL · On-site

Overview NV5 is a provider of professional and technical engineering and consulting solutions to ... Experience with Trimble GPS and robotic equipment, TDS software a plus * Read a survey grade level

Jones Edmunds

Senior Engineer - Civil Engineering

Alachua, FL · On-site

$92K - $127K/yr

We're looking for a skilled and motivated Senior Engineer to join our Civil Engineering team, focusing on municipal roadway, stormwater, and site development projects. If you enjoy providing senior ...

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Showing results 21-40

All JobsRobotics Engineer JobsRobotics Engineer Jobs in Gainesville, FL

Robotics Engineer information

See Gainesville, FL salary details

$26.3K

$95.7K

$153.1K

How much do robotics engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for robotics engineer in Gainesville, FL is $95,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,700.00 and $115,100.00 per year, depending on experience, location, and employer.

What does a robotics engineer do?

A Robotics Engineer designs, builds, and tests robots and robotic systems that are able to perform tasks typically done by humans. They work on integrating hardware and software to create machines that can automate processes in industries such as manufacturing, healthcare, and logistics. Their responsibilities often include researching new technologies, programming robotic systems, troubleshooting issues, and collaborating with other engineers. Robotics Engineers play a key role in advancing automation and improving efficiency and safety in various sectors.

What does a robotics engineer do?

A robotics engineer designs and often builds robots from their plans and ensures the correct processes are in place for the robot to run properly. They work with their clients to determine costs and design specifications, then they design software systems to control robotic systems; build, configure, and test robots; and automate processes to increase production and precision. Once the robotic system is in place, the robotics engineer helps troubleshoot any problems the clients have with the system.

What are the key skills and qualifications needed to thrive as a robotics engineer, and why are they important?

To thrive as a Robotics Engineer, you need a strong background in mechanical engineering, electrical engineering, and computer science, typically backed by a relevant bachelor's or master's degree. Familiarity with programming languages like Python or C++, CAD software, and robotics platforms such as ROS (Robot Operating System) is essential. Problem-solving skills, creativity, and effective teamwork are standout soft skills in this field. These competencies are crucial for designing, building, and refining innovative robotic systems that meet complex technical and user requirements.

What types of projects do robotics engineers typically collaborate on with cross-functional teams?

Robotics Engineers often work closely with professionals from software development, mechanical engineering, and electrical engineering to design, build, and test robotic systems. Projects can range from automating manufacturing processes to developing autonomous vehicles or medical robots. Collaboration is essential, as engineers must integrate hardware and software components while ensuring systems meet safety and performance standards. Effective communication and teamwork are key to successfully bringing innovative robotics solutions from concept to reality.

What is the difference between Robotics Engineer vs Mechanical Engineer?

AspectRobotics EngineerMechanical Engineer
Required CredentialsBachelor's in Robotics, Mechanical, Electrical Engineering or related field; certifications in robotics or automationBachelor's in Mechanical Engineering; Professional Engineer (PE) license optional
Work EnvironmentDesigning, testing, and programming robotic systems in labs or manufacturing settingsDesigning and analyzing mechanical systems in various industries, including manufacturing, automotive, aerospace
Industry UsageRobotics companies, automation firms, manufacturingManufacturing, automotive, aerospace, product design

Robotics Engineers focus on designing and developing robotic systems, combining knowledge of mechanical, electrical, and software engineering. Mechanical Engineers have a broader scope, working on mechanical systems across multiple industries. While both roles require engineering degrees, Robotics Engineers often need specialized skills in programming and automation. The choice depends on your interest in robotics and automation versus general mechanical system design.

Do robotics engineers make a lot of money?

Robotics engineers typically earn competitive salaries that vary based on experience, education, and location. According to industry data, the median annual wage for robotics engineers is higher than the average for engineering roles, reflecting the specialized skills and knowledge required in designing and developing robotic systems. Advanced skills in programming, control systems, and CAD tools can also influence earning potential.

Is there a high demand for robotics engineers?

Robotics engineers are in high demand across industries such as manufacturing, healthcare, and automation due to the increasing adoption of robotics technology. The field is expected to grow significantly as companies seek to improve efficiency and develop advanced robotic systems, often requiring skills in programming, control systems, and hardware design.
More about Robotics Engineer jobs

What are the most commonly searched types of Robotics Engineer jobs in Gainesville, FL?

The most popular types of Robotics Engineer jobs in Gainesville, FL are:

What are popular job titles related to Robotics Engineer jobs in Gainesville, FL?

For Robotics Engineer jobs in Gainesville, FL, the most frequently searched job titles are:

What job categories do people searching Robotics Engineer jobs in Gainesville, FL look for?

The top searched job categories for Robotics Engineer jobs in Gainesville, FL are:

What cities near Gainesville, FL are hiring for Robotics Engineer jobs?

Cities near Gainesville, FL with the most Robotics Engineer job openings:

Robotics Engineer jobs near you
Infographic showing various Robotics Engineer job openings in Gainesville, FL as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $95,679 per year, or $46 per hour.

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • Remote

$94K - $130K/yr

Full-time

Re-posted 20 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/ .

Apply