1

Computer Vision Relocation Jobs (NOW HIRING)

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Computer Vision. We are looking for excellent problem solvers to: * Contribute to multi-sensor data ... Relocation assistance + reimbursement * Free parking + transportation incentives * Social events ...

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Computer Vision. We are looking for excellent problem solvers to: * Contribute to multi-sensor data ... Relocation assistance + reimbursement * Free parking + transportation incentives * Social events ...

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

... science|Computer Vision Technical Skills 2 Technology|data science|PYTHON Technical Skills 3 ... relocation and/or travel to work/project location. • Candidates authorized to work for any ...

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to ...

The Video Computer Vision and Video Engineering teams are centralized applied research and ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

The Video Computer Vision organization within Video Engineering is a centralized applied research ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

Head of Computer Vision Compensation: Competitive salary + Stock-Options/BSPCE Team size: ~10 ML ... Relocation support (up to €10,000) for those choosing to move to France, including apartment ...

next page

Showing results 1-20

Computer Vision Relocation information

See salary details

$33.5K

$48.3K

$63.5K

How much do computer vision relocation jobs pay per year?

As of Jun 4, 2026, the average yearly pay for computer vision relocation in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

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 solid background in mathematics, programming (especially Python or C++), and machine learning, often supported by a degree in computer science or related fields. Familiarity with frameworks like OpenCV, TensorFlow, PyTorch, and experience using image processing and neural network tools is typical. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish top performers in this field. These skills and qualities are crucial for developing innovative visual recognition systems and collaborating on complex, interdisciplinary projects.

What are some common challenges faced by computer vision professionals when relocating for a new role, and how can they prepare for a smooth transition?

Relocating for a computer vision position often involves adapting to new team dynamics, understanding different workplace cultures, and navigating unfamiliar technical ecosystems. Professionals may also face challenges integrating with multidisciplinary teams, as computer vision often requires close collaboration with software engineers, data scientists, and product managers. To prepare, it's helpful to communicate proactively with your new team, seek out onboarding resources, and familiarize yourself with local professional communities. Additionally, understanding the company's relocation support and leveraging internal mentorship can greatly ease the transition.

What is a Computer Vision Relocation job?

A Computer Vision Relocation job typically refers to positions in the field of computer vision that require candidates to move or relocate to a specific location. Computer vision professionals work on enabling computers to interpret and process visual information from the world, such as analyzing images and videos. These roles may involve developing algorithms for object detection, facial recognition, or autonomous vehicles. Relocation is often required when companies need specialized talent to work onsite in research labs, tech hubs, or company headquarters.

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

AspectComputer Vision RelocationComputer Vision Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, AI, or related fields
Work EnvironmentProject-based, often involves coordinating relocation logistics for AI teamsResearch, develop, and implement computer vision algorithms in labs or offices
Employer & Industry UsageUsed by companies managing AI team relocations or international movesCommon in tech, automotive, healthcare, and research industries

Computer Vision Relocation focuses on managing the logistics of relocating AI teams specializing in computer vision, while Computer Vision Engineer develops and implements algorithms. Both roles require similar educational backgrounds but differ in daily tasks and industry application.

Infographic showing various Computer Vision Relocation job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision Engineer

EE Recruiters

Santa Clara, CA • On-site

$131K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Company Description
We are searching for several talented Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available
We have numerous roles across several key teams, including Computer Vision.
Job Description
We are looking for excellent problem solvers to:
  • Contribute to multi-sensor data collection and processing systems
  • Develop, deploy and optimize machine learning algorithms for the radar system
  • Build software infrastructure for large scale data storage and processing on AWS
  • Communicate requirements and specifications to the hardware and software teams
  • Collaborate with team members to build full-stack automotive software solutions
  • Perform other duties as necessary for completion of projects and achievement of goals

Qualifications
  • B.S/M.S./Ph.D. in computer sciences or related area with at least 2 years of working experience in industry
  • 2+ years of experience with machine learning, computer vision, and signal processing
  • Firsthand experience with a variety of learning approaches (supervised, unsupervised, reinforcement, etc.) and neural network architectures (convolutional, fully-connected, recurrent, etc.)
  • Excellent programming skills, especially in C/C++ and Python
  • Familiarity with common cloud computing resources

Preferred:
  • Experience with deploying custom software to embedded CPUs, GPUs, or FPGAs
  • Previous work with autonomous vehicles, multi-sensor data collection, or large-scale data processing.
  • Knowledge of the physics of radar and sensor systems
  • Interesting projects on Github or similar

Additional Information
Perks + Benefits:
  • Competitive salary package
  • Stock options for every employee
  • Healthcare + dental + vision (Free for employee/heavily discounted for family)
  • 401k plan
  • Catered lunch + healthy snacks + beverages
  • Generous paid vacation + holidays
  • Relocation assistance + reimbursement
  • Free parking + transportation incentives
  • Social events + happy hours + team parties