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Computer Vision Slam Engineer Jobs (NOW HIRING)

Apple

Senior Computer Vision Architect

Sunnyvale, CA · On-site

The Video Computer Vision and Video Engineering teams are centralized applied research and ... These areas may include SLAM, tracking, classification, calibration, PnP-based pose estimation ...

Clarapath, Inc.

Computer Vision Engineer

Hawthorne, NY · On-site

$130K - $180K/yr

Computer Vision Engineer LOCATION: Hawthorne, NY (on-site) TYPE : Full time, regular COMPENSATION: $130,000 - $180,000/yr Clarapath is a medical robotics company based in Westchester County, NY ...

Clarapath

NY · On-site

$118K - $140K/yr

Role Summary The Computer Vision Engineer will play a key role in the development, integration, and continuous improvement of computer vision systems for Clarapath's advanced SectionStar™ and ...

New

Apple

Real-Time Computer Vision Architect

Sunnyvale, CA

$184K - $324K/yr

... engineers to feature and experience teams. Preferred Qualifications Breadth of knowledge in some areas of computer vision including either classical methods or ML. These areas may include SLAM ...

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA

$121K/yr

... SLAM, scene reconstruction, machine perception, visualization and human interaction. As well there ... Computer Vision Engineer, Reality Labs Responsibilities: * Design and develop novel factory and ...

AIToolboard

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

/Computer Vision Engineer# Computer Vision EngineerSID Global SolutionsBellevue, USFull-time## About the RoleJob InformationJob Opening IDZR\_1167\_JOBDate Opened04/07/2026IndustryIT ServicesJob ...

Augusta Hitech

$82K - $97K/yr

C++, Computer Vision, PyTorch, Tensor Country: United States Role Summary We are seeking a highly skilled Computer Vision Engineer to design, develop, and deploy real-time defect detection systems ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$148K - $222K/yr

Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video encoder, decoder ...

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Computer Vision Slam Engineer information

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$121.5K

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

As of Sep 13, 2026, the average yearly pay for computer vision slam engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What states have the most Computer Vision Slam Engineer jobs?

States with the most job openings for Computer Vision Slam Engineer jobs include:

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Infographic showing various Computer Vision Slam Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision Engineer

Rancho Santa Margarita, CA • On-site

Applied Medical
Medical Equipment and Supplies Manufacturing • 1 - 5K employees
Learn more about Applied Medicalexternal

$80K/yr

Full-time

Life, Retirement, PTO

Re-posted 13 days ago

Key responsibilities

  • Design, develop, and implement computer vision algorithms for object detection, segmentation, tracking, and feature extraction in image and video analysis

  • Collaborate with cross-functional teams to deploy and embed computer vision capabilities into products, including the Simsei simulation program

  • Optimize the accuracy, efficiency, and scalability of existing computer vision systems for real-world applications

Applied Medical rating

7.3

Company rating: 7.3 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

Job description

Applied Medical is a new generation medical device company with a proven business model and commitment to innovation fueled by rapid business growth and expansion. Our company has been developing and manufacturing advanced surgical technologies for over 35 years and has earned a strong reputation for excellence in the healthcare field. Our unique business model, combined with our dedication to delivering the highest quality products, enables team members to contribute in a larger capacity than is possible in typical positions.
Position Description
The Computer Vision Engineer develops and optimizes computer vision algorithms and deep learning models for image and video analysis at Applied Medical. This computer vision and machine learning engineering role integrates and deploys scalable, high-performance vision-based solutions into real-world products. The Computer Vision Engineer enhances model accuracy, improves system efficiency, and contributes to AI-driven products that advance computer vision technology across Applied Medical.
Key Responsibilities
  • Design, develop, and implement computer vision algorithms for object detection, segmentation, tracking, and feature extraction in image and video analysis
  • Collaborate with cross-functional teams to deploy and embed computer vision capabilities into products, including the Simsei simulation program
  • Optimize the accuracy, efficiency, and scalability of existing computer vision systems for real-world applications
  • Research emerging computer vision technologies and methodologies, applying insights to improve model performance
  • Test, validate, and deploy models, maintaining robustness and reliability in production environments
  • Monitor and troubleshoot deployed systems, resolving performance issues and implementing enhancements over time

Success in This Role Looks Like
  • Improving model accuracy and system efficiency across deployed computer vision solutions
  • Delivering scalable vision-based features integrated cleanly into production products
  • Maintaining robust, reliable models in production environments
  • Resolving performance issues quickly to sustain accuracy and efficiency
  • Applying current research to advance product capabilities and innovation

Position Requirements
This position requires the following skills and attributes:
  • Bachelor's degree in computer science, computer engineering, electrical engineering, or a related engineering field with an emphasis on computer vision, or relevant experience
  • Minimum of three years of relevant work experience, or equivalent education and experience demonstrating the skills below
  • Strong analytical skills and a solid foundation in mathematics
  • Deep understanding of and hands-on experience with image processing, computer vision, machine learning, and deep learning algorithms
  • Strong development skills in C++ or Python
  • Experience applying traditional computer vision and deep learning algorithms to problems such as object detection, segmentation, tracking, and feature extraction
  • Experience with data science and computer vision libraries, including NumPy, Pandas, SciPy, Matplotlib, Scikit-learn, and OpenCV
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras

Preferred
The following skills and attributes are preferred:
  • Experience with medical image analysis or medical applications
  • Experience with image streaming and real-time image analysis
  • Experience with computer graphics and visualization
  • Experience with database servers such as MySQL or SQL Server
  • Experience with cloud services such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)

Benefits
  • Competitive compensation range: $80000 - $140000 / year (California).
  • Comprehensive benefits package.
  • Training and mentorship opportunities.
  • On-campus wellness activities.
  • Education reimbursement program.
  • 401(k) program with discretionary employer match.
  • Generous vacation accrual and paid holiday schedule.

Please note that the compensation range may be adjusted in the future, and bonus and incentive compensation plans may apply.
Our total reward package reflects our commitment to employee growth and well-being, as we invest in your development and offer a range of benefits designed to enhance your career and life.
All compensation and benefits are subject to plan documents and written agreements.

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