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Lead Computer Vision Engineer Jobs in Oregon (NOW HIRING)

As a Solutions Engineer based in our Corvallis, OR office, you will be part of our passionate and ... Development and implementation of software for new machine functions such as computer vision and UX ...

AI Engineer

OR · On-site +1

In This Role, You Will: * Lead end-to-end development of AI/ML models: from data ingestion ... Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI.

Senior Solutions Engineer, West Coast

Portland, OR · On-site

$58.50 - $75.50/hr

Backed by top investors and growing rapidly, we're a Portland-based team building computer vision ... Lead on-site training and solutions identification for Rapta vision robotic inspection cells.

Tech Lead Engineer

OR · On-site +1

$180K - $200K/yr

Bachelor's Degree in Computer Science, Software Engineering, or a related STEM field , or ... Comprehensive Healthcare Coverage (Health, Dental, Vision) * Retirement Savings Plan with an ...

Principal Solutions Engineer

OR · On-site +1

$200K - $250K/yr

Lead end-to-end customer engagements from technical discovery through proof-of-concept (PoC ... Background in computer vision, autonomous navigation, perception systems, or embedded industrial ...

Showing results 21-40

Lead Computer Vision Engineer information

What does a Lead Computer Vision Engineer do?

A Lead Computer Vision Engineer is responsible for overseeing the development and implementation of computer vision algorithms and systems. They guide a team of engineers, set technical direction, and ensure the successful deployment of image and video analysis solutions. Their work often involves tasks such as object detection, pattern recognition, and machine learning, as well as collaborating with other departments to integrate vision technologies into products. Additionally, they stay updated with the latest advancements in the field to maintain competitive and innovative solutions.

What are the key skills and qualifications needed to thrive as a Lead Computer Vision Engineer?

To thrive as a Lead Computer Vision Engineer, you need deep expertise in computer vision algorithms, machine learning, and programming languages such as Python or C++, usually backed by an advanced degree in computer science or a related field. Experience with tools like TensorFlow, PyTorch, OpenCV, and cloud-based deployment platforms, along with relevant certifications, is typically required. Strong leadership, project management, and communication skills help you guide teams and articulate technical solutions to stakeholders. These combined skills ensure the successful development and implementation of innovative vision systems that meet organizational goals.

How does a Lead Computer Vision Engineer typically collaborate with cross-functional teams during a project?

As a Lead Computer Vision Engineer, you will regularly work alongside product managers, data scientists, software engineers, and UX designers to ensure that computer vision solutions align with business objectives and user needs. This collaboration often involves translating technical requirements into practical deliverables, providing expertise during project planning, and integrating computer vision algorithms into production systems. Effective communication is crucial, as you may also be responsible for mentoring junior engineers and presenting progress to stakeholders. The role requires balancing hands-on development with leadership and coordination across disciplines.

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

AspectLead Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, AI, or related fields; experience in leadership rolesBachelor's/Master's in CS, AI, or related fields; focus on technical skills
Work EnvironmentLeading projects, mentoring teams, strategic planningDeveloping algorithms, implementing models, testing
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareResearch labs, startups, tech firms, automotive

The main difference is that a Lead Computer Vision Engineer oversees projects and teams, focusing on strategy and leadership, while a Computer Vision Engineer primarily develops and implements algorithms. Both roles require strong technical skills, but the lead position involves more management responsibilities.

What cities in Oregon are hiring for Lead Computer Vision Engineer jobs?

Cities in Oregon with the most Lead Computer Vision Engineer job openings:

Infographic showing various Lead Computer Vision Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Solutions Engineer

Corvallis, OR • On-site

Full-time

Re-posted 16 days ago


Job description

Position Overview:

As a Solutions Engineer based in our Corvallis, OR office, you will be part of our passionate and innovative technical team. You will become an expert in adapting and commissioning our scanning and optimization solutions. You will be responsible for implementing, validating and optimizing our software to solve customer specific needs, and traveling to the customer site to complete the solution.

Responsibilities:
  • Design, implementation and validation of our software, meeting customer-specific requirements
  • Customization and commissioning of our scanning optimization solutions in the production line directly in the field
  • Development and implementation of software for new machine functions such as computer vision and UX/UI design
  • Collaboration in all Project phases: development, testing, delivery, commissioning and optimization
  • Cooperation with our Customer Support and Sales department in the definition of specific software requirements
  • Preparation of software documentation
Required Qualifications:
  • 2 year degree in Computer Science or similar (specialization in image processing is a plus)
  • Good understanding of C / C++
  • Excellent communication skills in English
  • Structured and autonomous work ethic, with a customer-oriented approach
  • Curious and open minded
  • Ability to travel worldwide (25% to 75%)
  • High problem-solving skills
  • Strong relational and communication skills
  • Drivers License

Preferred Qualifications:

  • Specialization in image processing
  • Basic knowledge of CUDA
  • Familiarity with Microsoft Visual Studio.
  • Knowledge of computer vision and image processing
  • Basic knowledge of German, Italian, or French is a huge asset