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Senior Computer Vision Engineer Jobs (NOW HIRING)

Skyways

Senior Computer Vision Engineer

Austin, TX

$103K - $142K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... Mentor junior perception engineers and raise the quality bar for how perception systems are ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $250K/yr

We are seeking a Senior Computer Vision Engineer to join our team. We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world ...

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... Mentor junior perception engineers and raise the quality bar for how perception systems are ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $250K/yr

We are seeking a Senior Computer Vision Engineer to join our team. We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and ...

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... Mentor junior perception engineers and raise the quality bar for how perception systems are ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

The Staff Computer Vision Engineer will leverage expertise in computer vision and video processing ... with senior leadership (Director level and above). • 1+ year of experience in a technical ...

Reliance One

Computer Vision Engineer

Mountain View, CA

$70 - $75/hr

Computer Vision Engineer Location: Mountain View, California (On-site) Employment Type: Contract Opportunity Pay: $70.00-$75.00/hour Schedule: Full-time Benefits: Medical Benefits Begin Day 1, Paid ...

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Molg

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

As a Computer Vision Engineer, you will: * Drive the architecture, development, and deployment of advanced 2D and 3D computer vision systems that enable Molg's robotic microfactories. * Own the full ...

BrightAI

Computer Vision Engineer

$114K - $134K/yr

BrightAI is a company focused on computer vision technologies, and they are seeking a Computer Vision Engineer for a temporary position. The role involves annotating images and videos for various ...

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Senior Computer Vision Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior computer vision engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for senior computer vision engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What are Senior Computer Vision Engineers?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

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

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

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

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.
More about Senior Computer Vision Engineer jobs
What cities are hiring for Senior Computer Vision Engineer jobs? Cities with the most Senior Computer Vision Engineer job openings:
What are the most commonly searched types of Computer Vision Engineer jobs? The most popular types of Computer Vision Engineer jobs are:
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Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior Computer Vision Engineer

Senior Computer Vision Engineer

Skyways

Austin, TX

$103K - $142K/yr

Full-time

Re-posted 27 days ago

Job description

Skyways designs, builds, and operates fully autonomous long-range cargo aircraft. Founded in 2017, the company has spent the last eight years developing and deploying autonomous logistics systems for real-world operations.

Our V2 aircraft carries 30 lbs up to 500 miles, while our next-generation V3 carries 100 lbs over 1,000+ miles with 20+ hours of endurance. Both use a hybrid-electric architecture that takes off like a helicopter and cruises like a plane, enabling long-range autonomous delivery without traditional runway infrastructure.

Today, Skyways aircraft operate across three continents in controlled national airspace under FAA oversight and in support of U.S. military operations. We are transitioning from prototype development to full-rate production and scaling toward large autonomous cargo fleets.

Backed by Y Combinator and a $37M AFWERX STRATFI award from the U.S. Air Force, Skyways is creating a new form of transportation to advance our civilization from Austin, Texas.

The Opportunity

This role owns some of the hardest perception problems in autonomous flight.

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation, and perception-driven navigation in real operating environments. Your work will directly impact how aircraft identify safe landing areas, operate in degraded environments, and complete missions reliably without prepared infrastructure.

You will work across perception, sensor fusion, and flight systems to improve how aircraft understand terrain, obstacles, and environmental conditions during autonomous operations.

The ideal candidate has experience deploying perception systems on real robotic, automotive, or aerial platforms and understands the challenges of reliability, integration, and operational performance at system level.

You will work closely with autonomy, GNC, and flight operations teams to take systems from development through flight testing and operational deployment.

What You'll Do:

  • Develop and deploy computer vision systems for autonomous landing and landing zone evaluation

  • Build perception systems for targetless landing in unstructured and dynamic environments

  • Mentor junior perception engineers and raise the quality bar for how perception systems are designed, tested, and deployed

  • Develop algorithms for terrain understanding, obstacle detection, and environment classification

  • Work with onboard camera, IMU, GPS, and other sensor data in real flight environments

  • Improve system performance using operational flight data, testing, and iteration

  • Collaborate across autonomy, GNC, and flight operations teams to integrate perception into flight behaviors

  • Debug perception and autonomy issues observed during simulation, ground testing, and flight operations

  • Contribute to software architecture, testing, integration, and deployment workflows

What You'll Bring:

  • 5+ years of experience developing and deploying computer vision or perception systems in real-world environments

  • Strong proficiency in C++ and Python

  • Experience with perception systems for robotics, autonomous vehicles, drones, or aerospace platforms

  • Experience working with real sensor data and operational deployment constraints

  • Strong understanding of camera systems, sensor fusion, and state estimation concepts

  • Experience debugging and improving deployed perception systems using logs, telemetry, or flight data

  • Ability to operate effectively in fast-moving engineering environments

  • Strong communication and collaboration skills

Bonus Points If You Have:

  • Experience with autonomous aircraft or aerial robotics

  • Experience with landing zone evaluation, terrain classification, or visual navigation systems

  • Background in SLAM, visual odometry, or GPS-denied navigation

  • Experience with embedded or real-time systems

  • Familiarity with ROS2 or similar robotics frameworks

  • Experience deploying perception systems to resource-constrained platforms

Want to join our mission? Apply to learn more!

Due to U.S. government contract requirements, this role is limited to U.S. citizens, U.S. permanent residents, or candidates from specific countries authorized under applicable export control regulations.

Skyways is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or any other factor protected by applicable local, state or federal laws.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.