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Computer Vision Engineer Jobs in Pensacola, FL (NOW HIRING)

PTAC Engineering Location: Hiring in Florida and Alabama Locations: Tampa, Pensacola, Daphne ... If family coverage is needed, PTAC pays 50% of the difference * 100% employee-paid Dental, Vision ...

PTAC Engineering Location:Hiring in Florida and Alabama Locations: Tampa, Pensacola, Daphne ... If family coverage is needed, PTAC pays50%of the difference * 100% employee-paid Dental, Vision ...

PTAC Engineering Location:Hiring in Florida and Alabama Locations: Tampa, Pensacola, Daphne ... If family coverage is needed, PTAC pays50%of the difference * 100% employee-paid Dental, Vision ...

D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field * Solid ... Coursework or project experience with computer vision, time-series data, or sensor processing

CAD Drafter

Pensacola, FL · On-site

$28 - $38/hr

... vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

We're guided by leaders who foster a culture of respect, collaboration and a shared vision of ... LJA Engineering, Inc. and its subsidiaries do not accept unsolicited resumes from any agencies that ...

Associate Data Analyst

Pensacola, FL · On-site

$60K - $80K/yr

Working closely with our ML engineering team, you'll help define and refine annotation standards as ... Familiarity with image annotation tools and basic understanding of computer vision or machine ...

Associate Data Analyst

Pensacola, FL · On-site

$60K - $80K/yr

Working closely with our ML engineering team, you'll help define and refine annotation standards as ... Familiarity with image annotation tools and basic understanding of computer vision or machine ...

Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer ... Bachelor's degree in a technical discipline such as information technology, computer science ...

Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer ... Bachelor's degree in a technical discipline such as information technology, computer science ...

Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer ... Bachelor's degree in a technical discipline such as information technology, computer science ...

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Computer Vision Engineer information

See Pensacola, FL salary details

$45.8K

$114.9K

$130K

How much do computer vision engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for computer vision engineer in Pensacola, FL is $114,874.00, 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 do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
What are popular job titles related to Computer Vision Engineer jobs in Pensacola, FL? For Computer Vision Engineer jobs in Pensacola, FL, the most frequently searched job titles are:
What cities near Pensacola, FL are hiring for Computer Vision Engineer jobs? Cities near Pensacola, FL with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in Pensacola, FL as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $114,874 per year, or $55.2 per hour.

Robotics Software Engineer, Manipulation

Persona AI

Pensacola, FL • On-site

Full-time

Re-posted 20 days ago


Job description

We're looking for exceptional people who dream big, thrive on challenges, and love seeing their designs come to life. We are primarily interested in candidates who have shipped products in the fields of autonomy, robotics, consumer products, medical devices, automotive, or aerospace. We also value advanced degrees and deep expertise.
As an inaugural engineer at Persona, you will have an incredible opportunity to shape the design of Persona's humanoid robots, while also helping set the culture of the company. If you're passionate about cutting-edge technology and want to be part of a world-class team we'd love to hear from you.
Your Role:
  • Design and implement advanced, dexterous manipulation algorithms for humanoid robots with high DOF and multi-fingered hands.
  • Develop and optimize the manipulation pipeline, encompassing perception, grasping, trajectory optimization, motion planning, and control. Tackle complex tasks such as precise grasping, dual-arm manipulation, and in-hand object manipulation.
  • Implement robust control strategies for precise and dexterous manipulation, including force/motion control and visual/tactile servoing.
  • Integrate the manipulation pipeline with the humanoid robot's whole-body controller and contribute to loco-manipulation development.
  • Develop digital-twins of the manipulation scenes for algorithm development. Utilize simulators such as MuJoCo and Isaac Sim.
  • Conduct rigorous testing in both simulated and real-world environments.
  • Work closely with the machine learning team to help train and deploy models for advanced manipulation tasks.
  • Stay informed about the latest research and advancements in manipulation, leveraging both traditional methods and deep learning-based approaches.

We're Looking For:
  • BS, MS, or PhD in Robotics, Computer Science, or a related field.
  • 7+ years of experience (5+ with advanced degree) in robotics with a strong emphasis on control and manipulation of robotics/humanoid arms.
  • Strong background in motion planning, control theory, and optimization.
  • Demonstrated expertise in implementing advanced manipulation algorithms for tasks such as pick-and-place, bin picking, door opening, etc.
  • Proficiency in C++, Python, and relevant robotics libraries (e.g., MoveIt!, Drake, OpenRAVE).
  • Experience with trajectory optimization libraries (e.g., IPOPT, SNOPT, qpOASES).
  • Proficiency with modern deep learning techniques for manipulation.
  • Experience with computer vision algorithms, sensors, point clouds, segmentation and object detection.
  • Familiar with ROS, LCM, or other middleware for robotic systems.

Preferred or Bonus Qualifications:
  • Experience in developing algorithms for contact modeling and force/torque estimation with a focus on tactile sensing and feedback for dexterous tasks.
  • Experience with machine learning for dexterous manipulation, including learning-based grasp strategies, behavior cloning and reinforcement learning.
  • Publications in top-tier robotics conferences focusing on dexterous manipulation.
  • Experience in a humanoid robot startup environment.