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Computer Vision Engineering Jobs (NOW HIRING)

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Responsibilities : • Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video ...

1872 Consulting

Computer Vision Engineer

Chicago, IL · On-site

$115K - $135K/yr

Computer Vision Engineer We have a world-class artificial intelligence team, which has the aim to maximize the value of the enormous amount of sports data that we have at our disposal. As a Computer ...

SID Global Solutions

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 ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

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 ...

Pyramid Consulting

COMPUTER VISION ENGINEER

Del Valle, TX · On-site

$123K - $145K/yr

S. in Computer Science, Physics, Electrical Engineering, or Math. Ph.D. preferred. Our client is a leading Pharmaceuticals Industry and we are currently interviewing to fill this and other similar ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

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 ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA

$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 ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$126K - $149K/yr

They are seeking a Senior Computer Vision Engineer to contribute to the development of computer vision pipelines for extracting intelligence from aerial imagery, working closely with the founding ...

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

As a Computer Vision Engineer, you will: * Drive the architecture, development, and deployment of advanced 2D and 3D computer vision systems that enable Molg's robotic microfactories. * Own the full ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$118K - $139K/yr

Required : • BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field. • Strong knowledge of 3D computer vision concepts, including multi ...

BrightAI

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $155K/yr

Computer Vision Engineer Palo Alto, California Computer Vision Intern -- Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months What You'll Gain * Exposure to the full CV pipeline ...

Harrison Clarke

Computer Vision Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

You'll help solve technically challenging problems in a fast-moving environment where engineering ... Designing, training, and improving large-scale computer vision and deep learning models * Owning ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms.

United IT

Computer Vision Engineer

Fremont, CA · On-site

$122K - $143K/yr

Computer Vision Engineer Location: Fremont, CA Key Skills: C#/C++ programming Computer vision tasks such as object detection, object tracking, segmentation analysis and depth estimation multi ...

United IT Solutions

Computer Vision Engineer

Fremont, CA · On-site

$122K - $143K/yr

Computer Vision Engineer Location: Fremont, CA Key Skills: C#/C++ programming Computer vision tasks such as object detection, object tracking, segmentation analysis and depth estimation multi ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $250K/yr

We are seeking a Senior Computer Vision Engineer to join our team. We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $250K/yr

We are seeking a Senior Computer Vision Engineer to join our team. We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms.

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Computer Vision Engineering information

See salary details

$48.5K

$121.5K

$137.5K

How much do computer vision engineering jobs pay per year?

As of Jul 1, 2026, the average yearly pay for computer vision engineering 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 is the difference between Computer Vision Engineering vs Machine Learning Engineering?

AspectComputer Vision EngineeringMachine Learning Engineering
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of image processing and computer vision librariesBachelor's or Master's in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentDeveloping algorithms for image/video analysis, object detection, and scene understandingBuilding models for various data types, including images, text, and tabular data
Employer & Industry UsageTech companies, robotics, automotive, healthcare, securityTech firms, finance, healthcare, e-commerce, research institutions

Computer Vision Engineering focuses on developing algorithms for interpreting visual data, while Machine Learning Engineering covers a broader range of data types and applications. Both roles require strong programming skills and often overlap in skills and tools, but their primary focus and industry applications differ.

What engineers make $500,000?

Senior computer vision engineers with extensive experience, advanced skills in deep learning and image processing, and often working in high-demand industries such as autonomous vehicles or AI research can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What engineers make $300,000 a year?

Senior computer vision engineers with extensive experience, advanced skills in deep learning and image processing, and often working in high-demand industries such as autonomous vehicles or AI research can earn $300,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

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, typically backed by a degree in computer science or a related field. Familiarity with tools such as OpenCV, TensorFlow, PyTorch, and experience with image processing libraries and deep learning frameworks is essential. Strong problem-solving skills, attention to detail, and effective communication set standout professionals apart in this field. These skills and qualities are crucial for developing innovative computer vision solutions and collaborating across multidisciplinary teams to solve complex visual recognition challenges.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

Which 3 jobs will survive AI?

Computer Vision Engineering is likely to remain in demand as AI advances because it involves specialized skills in image processing, deep learning, and programming with tools like Python and TensorFlow. Roles that require complex problem-solving, creativity, and domain-specific knowledge, such as data scientists, AI researchers, and software engineers, are also expected to persist. These jobs often require continuous learning and adaptation to new technologies, making them more resilient to automation.

What is computer vision engineering?

Computer vision engineering is a field within artificial intelligence that focuses on enabling computers and systems to interpret and process visual information from the world, such as images and videos. Computer vision engineers develop algorithms and models that allow machines to identify, classify, and analyze visual data, often for applications like facial recognition, autonomous vehicles, medical imaging, and industrial automation. They work with large datasets, deep learning frameworks, and various programming languages to build and optimize these intelligent systems.

What are the typical challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring models perform accurately on real-world data, optimizing inference speed for deployment on various hardware, and managing large-scale image or video data pipelines. Additionally, integrating computer vision solutions with existing backend systems and maintaining model performance as data evolves can be complex. Collaboration with data engineers, software developers, and QA teams is essential to address these issues and ensure robust, scalable deployment.
More about Computer Vision Engineering jobs
What job categories do people searching Computer Vision Engineering jobs look for? The top searched job categories for Computer Vision Engineering jobs are:
Computer Vision Engineering jobs near you
Infographic showing various Computer Vision Engineering job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 45% Full Time, 37% Part Time, and 16% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Computer Vision Engineer

Computer Vision Engineer

Qualcomm

San Diego, CA • On-site

$118K - $139K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Research, design, and implement video processing and computer vision algorithms from concept through production deployment.

  • Lead system- and algorithm-level architecture definition and feature decomposition to drive hardware and software requirements.

  • Profile and optimize algorithm and model performance across memory, compute, power, and bandwidth constraints on mobile and embedded platforms.

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 202 rated software companies

Job description

Job Summary:
Qualcomm Technologies, Inc. is building the intelligence behind advanced Snapdragon-powered devices. The Staff Computer Vision Engineer will leverage expertise in computer vision and video processing to design and implement algorithms, drive technical direction, and collaborate with cross-functional teams to enhance visual analytics experiences.
Responsibilities:
• Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video encoder, decoder, processing, quality enhancement, and real‑time computer vision pipelines, from concept through production deployment.
• Lead system‑ and algorithm‑level architecture definition, standard studies, and feature decomposition to drive hardware and software requirements and specifications.
• Profile and optimize algorithm and model performance across memory, compute, power, and bandwidth constraints on mobile and embedded platforms.
• Collaborate closely with cross‑functional teams (hardware, software, systems, and product) and with customers to commercialize technologies and deliver best‑in‑class visual analytics experiences.
• Write clear and concise technical documentation, design specifications, and feature descriptions to guide internal teams and external partners.
• Contribute effectively in a fast‑paced, highly collaborative environment with globally distributed, cross‑functional teams.
• Provide technical mentorship and guidance to engineers across experience levels and influence technical decisions beyond the immediate team.
Qualifications:
Required:
• 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.
• Strong background in computer vision and video processing algorithms.
• Solid understanding of SoC architecture, including compute accelerators, memory hierarchies, and hardware/software interfaces.
• Hands‑on experience with modern deep learning architectures.
• Strong coding skills in Python and C/C++ for production‑quality development, optimization, and on‑device deployment, with experience using ML/CV frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV.
• Strong ability to work across algorithm, software, and hardware boundaries.
• Experience with real‑time computer vision systems or embedded AI deployment.
• Experience using performance profiling tools and hardware simulators.
Preferred:
• Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• 4+ years of experience developing and implementing computer vision and video algorithms within system‑level products.
• 4+ years of experience with system design, system integration, and hardware/software optimization.
• 4+ years of experience with programming (e.g., C, C++, Python), computer architecture, or embedded systems.
• 3+ years of experience working in a large, matrixed organization.
• 1+ year of experience interacting with senior leadership (Director level and above).
• 1+ year of experience in a technical leadership role, with or without direct reports.
• Publication, patent, or external technical contribution experience is a plus.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
Qualcomm logo

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

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