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Senior Computer Vision Engineer Jobs (NOW HIRING)

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $147K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

Our client, a rapidly growing organization operating in a complex industrial environment, is seeking a Computer Vision Engineer in Dallas, TX to design and build a real time video analytics platform.

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Leverage advanced video and computer vision engineering expertise to research, design, and ... with senior leadership (Director level and above). * 1+ year of experience in a technical ...

Computer Vision Engineer

Mountain View, CA · On-site

$130K - $154K/yr

Computer Vision Engineer - Advanced Development & Planning Location: Mountain View, CA Duration: Long Term About CTC: Founded in 1996, CTC is a global IT services, Consulting and Business Solutions ...

New

Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment * Partner ...

New

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment * Partner ...

New

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

They are seeking a Computer Vision Engineer to develop and implement digital technology solutions that improve manufacturing efficiency and quality. Responsibilities : • Engaging with NA regional ...

New

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Engineer - Perception & 3D Type: Temporary Duration: 6-12 months What You'll Gain * Exposure to the full CV pipeline, from raw data and annotation to deployed model * Mentorship from ...

Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment * Partner ...

New

Our client, a rapidly growing organization operating in a complex industrial environment, is seeking a Computer Vision Engineer in Dallas, TX to design and build a real time video analytics platform.

Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment * Partner ...

New

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Engineer - Perception & 3D Type: Temporary Duration: 6-12 months What You'll Gain * Exposure to the full CV pipeline, from raw data and annotation to deployed model * Mentorship from ...

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Senior Computer Vision Engineer information

See salary details

$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:
What states have the most Senior Computer Vision Engineer jobs? States with the most job openings for Senior Computer Vision Engineer jobs include:
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.
Computer Vision Engineer

Computer Vision Engineer

SID Global Solutions

Bellevue, WA • On-site

$125K - $147K/yr

Full-time

Re-posted 5 days ago


Job description


Role Overview
We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This role focuses on designing, developing, and implementing advanced engineering solutions, integrating IIoT hardware, computer vision, and machine learning to improve material handling, operator workflows, and fulfillment processes.
The ideal candidate has a strong background in engineering design, computer vision, and applied machine learning, with proven experience driving large-scale projects, collaborating across teams, and delivering impactful outcomes in dynamic operational environments.
Key Responsibilities
  • Lead and manage end-to-end life cycles ofcomplex cross-functional projects spanning organizations and geographies,ensuring delivery of impactful business outcomes.
  • Engineering Solutions: Design and develop engineering solutions formaterial handling challenges, considering human-equipment interactions andoperational excellence.
  • IIoT Development: Develop, configure, and implement IIoThardware to enhance equipment, processes, and operator workflows.
  • Simulation & Modeling: Collaborate with Scientists to createadvanced simulation models and perform "what-if" scenario testing to driveoptimal hardware and process solutions.
  • Concept & Design Leadership: Lead concept efforts for optimal solutionsincluding equipment specifications, material flow, ergonomics, associateexperience, operational considerations, and site layout.
  • Vendor & Stakeholder Collaboration: Partner with suppliers, vendors, andinternal teams to deliver innovative solutions with scalability andefficiency.
  • Documentation & Standards: Ensure all solutions are documented withSOPs and/or structured change control, setting standards for engineeringexcellence.
  • Multi-Project Management: Manage multiple initiatives simultaneouslywhile influencing, negotiating, and communicating effectively withinternal and external stakeholders.
  • Thought Leadership: Deliver artifacts (research, schematics,prototypes, 3D models, analysis, test plans, narratives) that setbenchmarks for organizational engineering standards.
  • Consensus Building: Communicate complex ideas clearly, harmonizediverse perspectives, and build consensus to resolve contentious issues.

Must-Have Qualifications
  • Proven experience in computer vision (CV)and machine learning (ML) integration for real-time solutions.
  • Strong coding skills (Python, C++, or similar)with the ability to prototype, test, and deploy ML/CV models in productionenvironments.
  • Demonstrated ability to lead large-scaleengineering projects or device development from concept throughimplementation.
  • Hands-on experience with IIoT hardwaredesign, configuration, and integration for operational improvements.
  • Strong knowledge of system design, materialhandling, and human-machine interaction principles.
  • Exceptional program management,communication, and stakeholder management skills.

Nice-to-Have Qualifications
  • Advanced Python programming skills fordata modelling, simulation, and rapid prototyping.
  • Experience with system emulation andtesting environments.
  • Strong background in cross-functionalcollaboration within large, fast-paced, and dynamic operationalenvironments.
  • Familiarity with 3D modelling, CAD tools,or hardware prototyping.