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Lead Computer Vision Engineer Jobs (NOW HIRING)

Augusta Hitech

$82K - $97K/yr

C++, Computer Vision, PyTorch, Tensor Country: United States Role Summary We are seeking a highly skilled Computer Vision Engineer to design, develop, and deploy real-time defect detection systems ...

Meta

Computer Vision Engineer

Sunnyvale, CA · On-site

$121K/yr

Computer Vision Engineer Responsibilities: * Design and develop novel calibration algorithms for sensors and displays * Design and prototype automation for calibration in collaboration with ...

MOLG Inc.

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

As a Computer Vision Engineer, you will be responsible for: * Continuous design, development, testing, and deployment of 2D and 3D vision capabilities incorporated into the Molg Microfactories.

TEEMA Solutions Group

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

... Computer Engineering, Electrical Engineering, or related field 3+ years of computer vision experience in real-time, product-focused environments Strong Python skills with OpenCV or similar libraries ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... Computer Engineering, Machine Learning, or equivalent practical experience • Experience shipping ML models to production • Background in computer vision or machine learning, with focus on areas ...

Observable

$82K - $97K/yr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join ... Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific ...

Mill

Computer Vision Engineer

San Bruno, CA

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

Mill

Computer Vision Engineer

San Bruno, CA

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... 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. We are ...

TEEMA

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 ...

Observable

Computer Vision Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join ... Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific ...

Observable Space

Computer Vision Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join ... Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific ...

Observable Space

Computer Vision Engineer

Los Angeles, CA · On-site

$190K - $230K/yr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join ... Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... 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. We are ...

T3i, Inc.

Computer Vision Engineer

San Antonio, TX · On-site

They are seeking a Computer Vision Engineer to develop the Blackfoot's perception and visual autonomy stack, focusing on delivering robust onboard vision capabilities in challenging environments.

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Lead Computer Vision Engineer information

See salary details

$42.5K

$123.8K

$180.5K

How much do lead computer vision engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for lead computer vision engineer in the United States is $123,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $135,000.00 per year, depending on experience, location, and employer.

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 are hiring for Lead Computer Vision Engineer jobs?

Cities with the most Lead Computer Vision Engineer job openings:

What states have the most Lead Computer Vision Engineer jobs?

States with the most job openings for Lead Computer Vision Engineer jobs include:

What are popular job titles related to Lead Computer Vision Engineer jobs?

For Lead Computer Vision Engineer jobs, the most frequently searched job titles are:

Infographic showing various Lead Computer Vision Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $123,784 per year, or $59.5 per hour.

Computer Vision Engineer

On-site

Augusta Hitech
IT Services • 51 - 200 employees
Learn more about Augusta Hitechexternal

$82K - $97K/yr

Other

Posted 9 days ago

Key responsibilities

  • Design, develop, and deploy real-time defect detection systems for industrial automation pipelines.

  • Integrate high-speed cameras, industrial PCs, and PLCs to capture, process, and label data at high throughput.

  • Implement object detection and image classification algorithms to identify micro-defects on production lines.

Job description

Required Skills: C++, Computer Vision, PyTorch, Tensor

Country: United States

Role Summary

We are seeking a highly skilled Computer Vision Engineer to design, develop, and deploy real-time defect detection systems for our industrial automation pipelines. In this role, you will bridge the gap between advanced machine learning models and physical manufacturing hardware. You will be responsible for integrating high-speed cameras, Industrial PCs (IPCs), and Programmable Logic Controllers (PLCs) to capture, process, and label data at high throughput, ensuring zero-defect quality control on the production floor.

Key Responsibilities

Design and implement robust object detection and image classification algorithms specifically tuned for identifying micro-defects on fast-moving production lines.

Integrate and calibrate high-speed industrial cameras, specialized lighting, and optical setups to ensure optimal image quality for the vision models.

Establish low-latency communication pipelines between the computer vision systems and PLCs to trigger physical sorting or rejection mechanisms in real-time.

Optimize deep learning models for edge deployment using hardware acceleration to meet strict cycle-time requirements.

Develop and maintain automated data collection and labeling pipelines to continuously feed and improve the accuracy of the defect detection models.

Troubleshoot system performance on the manufacturing floor, addressing issues related to camera triggering, lighting fluctuations, and model drift.

Required Programming Languages

C++: Essential for writing highly optimized, multithreaded applications necessary for real-time, low-latency image processing and inferencing on the edge.

Python: Required for rapidly prototyping, training, testing, and refining deep learning models, as well as managing the data processing and labeling scripts.

Structured Text / Ladder Logic (Familiarity): While not strictly required to be an expert, a working knowledge of IEC 61131-3 PLC programming languages is crucial for effectively communicating and designing handshakes with automation engineers.

Required Experience & Technical Skills

High-Speed Imaging Hardware: Proven hands-on experience with industrial camera interfaces (GigE Vision, CoaXPress, Camera Link), frame grabbers, and industrial optics.

Industrial Communication Protocols: Experience seamlessly passing data between Windows/Linux edge computers and PLCs using protocols like OPC UA, Modbus TCP/IP, Ethernet/IP, or PROFINET.

Computer Vision & Deep Learning Frameworks: Deep practical knowledge of traditional computer vision (OpenCV) alongside modern deep learning frameworks (PyTorch, TensorFlow) and architectures suited for fast inference (e.g., YOLO variants).

Hardware Acceleration & Edge AI: Proven ability to deploy models onto industrial hardware (NVIDIA Jetson, x86 IPCs) using optimization toolkits like TensorRT or OpenVINO to maximize frame rates.

Real-Time System Design: Experience dealing with the complexities of concurrent processing, memory management, and preventing frame drops in continuous, 24/7 manufacturing environments.

Data Pipeline Management: Familiarity with tools and best practices for versioning datasets, managing synthetic data generation, and coordinating efficient image labeling workflows for quality control.

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