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Computer Vision Scientist Jobs (NOW HIRING)

Master's or PhD in Computer Science, Electrical Engineering, or a related discipline. Minimum Skills * 3-5 years of hands-on experience developing computer vision applications or libraries. * Strong ...

Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors Minimum Qualifications: * Background in computer vision, classical image processing ...

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D ... A team of engineers and scientists with backgrounds from University of Toronto, Stanford, EPFL, ASU ...

Computer Vision Engineer

Bellevue, WA

$125K - $148K/yr

Collaborate with Scientists to create advanced simulation models and perform "what-if" scenario ... Must-Have Qualifications Proven experience in computer vision (CV) and machine learning (ML ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Background in computer vision, classical image processing, and 2D/3D ...

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

What you'll bring Required * BS or MS in Computer Science, Electrical Engineering, Robotics, or a ... Familiarity with vision foundation models such as SAM, Grounding DINO, or DINO is a plus.

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 ... science, data science or equivalent experience. Company : Zobility is a talent management and ...

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $147K/yr

Collaborate with Scientists to createadvanced simulation models and perform "what-if" scenario ... Proven experience in computer vision (CV)and machine learning (ML) integration for real-time ...

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

... computer science, data science or equivalent experience • Minimum Experience: 2+ years ... vision algorithms such as segmentation, morphology, pose estimation, camera calibration, image ...

Computer Vision Architect

San Diego, CA · On-site

$179K - $268K/yr

Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most ... OR PhD in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of ...

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

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

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or related field * 3+ years of computer vision experience in real-time, product-focused environments * Strong ...

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

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

Showing results 41-60

Computer Vision Scientist information

See salary details

$50.5K

$111.3K

$137.5K

How much do computer vision scientist jobs pay per year?

As of Aug 5, 2026, the average yearly pay for computer vision scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Computer Vision Scientist vs Machine Learning Engineer?

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

What are the key skills and qualifications needed to thrive as a computer vision scientist?

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

What are some common challenges faced by computer vision scientists when deploying models to production environments?

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

What is a computer vision scientist?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.
More about Computer Vision Scientist jobs
What cities are hiring for Computer Vision Scientist jobs? Cities with the most Computer Vision Scientist job openings:
What states have the most Computer Vision Scientist jobs? States with the most job openings for Computer Vision Scientist jobs include:
Infographic showing various Computer Vision Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Computer Vision Architect

Qualcomm

San Diego, CA • On-site

Full-time

Re-posted 2 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 242 rated software companies


Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Video Systems, HW Architecture
General Summary:
Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most advanced Snapdragon-powered devices, from next-gen mobile phones to autonomous vehicles, IoT, and immersive AR/VR platforms. The group's work spans across computer vision algorithm development, CV accelerator architecture, and on-device prototyping. If you're passionate about shaping the future of on-device vision processing, this is where your work will reach billions of users.
We're looking for a Computer Vision Solutions Engineer who thrives at the intersection of algorithms, hardware, and real-world productization. You'll help define and deliver the Snapdragon Vision API based features, enabling developers and OEMs to build breakthrough CV experiences on cutting-edge hardware. Experience with CV hardware accelerators and OpenCV is a plus.
Key Responsibilities
  • Lead the design and implementation of computer vision features and on-device prototyping using the Snapdragon Vision API solution.
  • Support engineering teams in building, integrating, and deploying CV APIs for commercial products.
  • Develop clear and thorough technical documentation, diagrams, and sample materials that showcase the capabilities of the Snapdragon Vision API for end-application developers.
  • Ensure deliverables meet schedule expectations and KPI targets, proactively identifying and addressing risks.
  • Collaborate closely with system, software, hardware, and product teams throughout CV feature prototyping and commercialization.
  • Contribute effectively in a fast-paced, highly collaborative environment with distributed cross-functional teams.

Qualifications
  • Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
  • Preferred: Master's or PhD in Computer Science, Electrical Engineering, or a related discipline.

Minimum Skills
  • 3-5 years of hands-on experience developing computer vision applications or libraries.
  • Strong understanding of CV concepts, algorithms, and deep-learning-based vision pipelines, with a track record of delivering commercial CV solutions.
  • Proficiency in designing and implementing products using vision APIs, following established standards and best practices.
  • Strong coding and debugging skills in C/C++ and Python, with the ability to rapidly prototype and evaluate CV features on device.

Preferred Skills
  • Experience with CV and ML libraries such as OpenCV, TensorFlow, and PyTorch (TorchVision), including image processing and deep learning workflows.
  • Working knowledge of embedded systems and architectures, especially hardware CV accelerators.
  • Experience producing high-quality API documentation and technical materials.
  • Familiarity with commercial software development practices and SDLC methodologies.

Minimum Qualifications:
• Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$148,300.00 - $222,500.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985