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Remote Robotics Engineer Jobs in Florida (NOW HIRING)

Machine Learning & Operations Engineer

Miami, FL ยท Remote

$66K - $89K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... robotics, animation, virtual reality, biomechanics, and virtual production * Remote-first ...

Machine Learning & Operations Engineer

Miami, FL ยท Remote

$66K - $89K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... robotics, animation, virtual reality, biomechanics, and virtual production * Remote-first ...

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Showing results 1-20

Remote Robotics Engineer information

See Florida salary details

$21.7K

$78.9K

$126.3K

How much do remote robotics engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote robotics engineer in Florida is $78,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $94,900.00 per year, depending on experience, location, and employer.

Is robotics a dead field?

Robotics is an active and growing field with applications in manufacturing, healthcare, logistics, and research. Robotics engineers work with sensors, automation systems, and programming languages like Python and C++, and the demand for skilled professionals continues to increase as technology advances.

What engineers make $300,000 a year?

Senior robotics engineers with extensive experience, advanced skills in automation, AI, and control systems, and often working in specialized industries or leadership roles can earn $300,000 or more annually. High compensation is typically associated with seniority, advanced certifications, and working in high-demand sectors such as aerospace, defense, or large tech companies.

What engineers make $500,000?

Senior robotics engineers with extensive experience, advanced skills in automation, AI, and control systems, and often working in specialized industries or leadership roles can earn salaries approaching or exceeding $500,000 annually. High compensation typically involves a combination of base salary, bonuses, stock options, and other incentives, especially in large tech companies or startups. Achieving this level often requires advanced degrees, certifications, and a strong track record of innovation and leadership in robotics engineering.

What is a Remote Robotics Engineer job?

A Remote Robotics Engineer designs, develops, and tests robotic systems while working from a remote location. They use simulation tools, software, and cloud-based platforms to build and program robots for various industries, such as manufacturing, healthcare, and automation. Communication and collaboration with teams are typically done through video calls, online project management tools, and remote coding environments. This role requires expertise in robotics software, hardware integration, and control systems, alongside strong problem-solving skills.

What are the key skills and qualifications needed to thrive in the Remote Robotics Engineer position, and why are they important?

To thrive as a Remote Robotics Engineer, you need a strong background in robotics engineering, programming (such as Python or C++), and experience with embedded systems, supported by a relevant degree in engineering or computer science. Familiarity with industry tools like ROS (Robot Operating System), simulation software (Gazebo or MATLAB), and version control systems (Git) is commonly required, along with relevant certifications. Strong problem-solving skills, self-motivation, effective communication, and the ability to work independently are highly valued in remote settings. These abilities ensure the successful design, testing, and deployment of robotics solutions while collaborating virtually with interdisciplinary teams.

Can a Robotics Engineer work remotely?

Yes, many Robotics Engineers can work remotely, especially those involved in software development, simulation, and system design. However, roles that require hands-on work with hardware or on-site testing may necessitate in-person presence. Remote work opportunities depend on the employer, project requirements, and the engineer's skills with tools like CAD, programming languages, and remote collaboration platforms.

What are some typical challenges a Remote Robotics Engineer might face, and how are they addressed?

Remote Robotics Engineers often encounter challenges related to hardware access, coordination with on-site teams, and troubleshooting physical systems from a distance. To address these issues, engineers frequently utilize remote desktop tools, simulation platforms, and detailed documentation to diagnose and resolve problems without being physically present. Regular video meetings, thorough written communication, and close collaboration with on-site personnel help bridge the gap between remote and in-person work. Proactively coordinating schedules for hands-on testing and leveraging cloud-based development environments can also improve project efficiency and outcomes.

What are the most commonly searched types of Robotics Engineer jobs in Florida? The most popular types of Robotics Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Robotics Engineer jobs? Cities in Florida with the most Remote Robotics Engineer job openings:
Machine Learning & Operations Engineer

Machine Learning & Operations Engineer

OptiTrack

Miami, FL โ€ข Remote

$66K - $89K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

OptiTrack is a global leader in motion capture technology, delivering precision tracking solutions for animation, robotics, virtual production, biomechanics, and industrial applications.

About the Role

OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning. This role sits at the intersection of machine learning engineering and infrastructure, focusing on automation of data validation pipelines, orchestration of large-scale experiments, and deployment of high-performance algorithms.

This is a fully remote position, working cross-functionally with research and engineering teams.

What Youโ€™ll Do

  • Design and maintain automated ML training pipelines.
  • Build infrastructure for large-scale distributed experimentation.
  • Develop CI/CD workflows tailored for machine learning systems.
  • Orchestrate data ingestion, preprocessing, validation, and model versioning.
  • Implement experiment tracking, hyperparameter tuning automation, and reproducibility systems.
  • Optimize GPU/compute utilization across cloud and on-prem environments.
  • Deploy, monitor, and maintain production ML models
  • Establish and enforce MLOps best practices including model registry, artifact management, and observability.
  • Improve system reliability, performance, and security.
  • Collaborate closely with ML researchers make new algorithms product ready.
  • More typical DevOps responsibilities for software development as required.

Required Qualifications

  • 3+ years of experience in MLOps, ML infrastructure, Machine Learning, or related roles or relevant degree experience.
  • Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar)
  • Experience building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
  • Hands-on experience with containerization (Docker) and orchestration
  • Experience managing GPU workloads and distributed training systems
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Strong understanding of automation, infrastructure reliability, and data pipelines
  • Ability to work with both European and US developers.

Preferred Qualifications

  • Experience with motion capture or computer vision systems
  • Familiarity with experiment tracking tools (MLflow, Weights & Biases, etc.)
  • Background in distributed systems or high-performance computing
  • Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow)
  • Infrastructure as Code experience (Terraform, Pulumi, CloudFormation)
  • Experience with model optimization, inference acceleration, or edge deployment
  • Experience building tracking algorithms for device localization using techniques like SLAM
  • Strong problem-solving skills and attention to reproducibility
  • Comfortable working in a remote, collaborative environment, with international team members
  • Clear communicator who can bridge research and production engineering
  • Experience with image rendering pipelines in CryEngine.
  • Passion for building scalable AI infrastructure

Why Join OptiTrack?

  • Work on cutting-edge motion tracking systems
  • Contribute to technology used across robotics, animation, virtual reality, biomechanics, and virtual production
  • Remote-first flexibility
  • Opportunity to shape the next-generation of motion capture technology

All benefits start on first day of employment!

  • 75% employer-paid medical for employee. Family coverage also included.ย 
  • 100% employer paid dental, and vision for employee and dependents
  • 100% employer paid long-term, short-term disability, and life insurance policy
  • 401k Match, if youโ€™re contributing 5% we match 4%. 100% vested immediately.
  • 10 paid holidays
  • Starting at 15 days paid PTO (inclusive of sick and vacation time) annually
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)

EEOC Statement:

OptiTrack is an equal opportunity employer, we believe in fostering a culture of equality, diversity, and inclusivity. Our commitment to this goal is clearly expressed in our zero-tolerance policy for discrimination and harassment of any kind, including on the basis of race, color, sex, age, religion, sexual orientation, national origin, disability, genetic information, pregnancy, protected veteran status or any other characteristic protected by applicable federal, state, or local laws. Our hiring practices ensure that decisions are based solely on qualifications, merit, and current business needs, while extending to all aspects of our operations - from recruitment and promotion to layoff and recall, to leave of absence, compensation, benefits, and training.ย ย We are committed to remaining a drug free workplace