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Computer Vision Engineer Jobs in Pittsburgh, PA (NOW HIRING)

Perception Engineer Department: Engineering Report to: VP of Software Engineering Who We Are ... Develop and optimize computer vision and machine learning algorithms for object detection ...

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

Skill: AI Engineer Must Have Technical/Functional Skills: * Programming Languages: Strong ... Integrate pre-trained AI models, LLMs, and computer vision tools into existing company software and ...

Required : • 10+ years building and scaling production ML or computer vision systems • 5+ years managing and growing ML engineering teams • Deep expertise in computer vision: object detection ...

Oracel AI

Pittsburgh, PA · On-site

$54 - $72.25/hr

... computer vision, and intelligent automation use cases. Hands-on experience with OCI Generative AI, prompt engineering, embeddings, vector search, retrieval-augmented generation, semantic search, and ...

New

Research Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Position Overview We are hiring Research Engineers to develop scalable robotic systems aimed at ... computer vision. * Experience working with robot systems and large-scale model training. Base ...

... ML or computer vision systems * 5+ years managing and growing ML engineering teams * Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures * Strong ...

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Computer Vision Engineer information

See Pittsburgh, PA salary details

$45.3K

$113.5K

$128.5K

How much do computer vision engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for computer vision engineer in Pittsburgh, PA is $113,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $122,900.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

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 strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
What are the most commonly searched types of Computer Vision Engineer jobs in Pittsburgh, PA? The most popular types of Computer Vision Engineer jobs in Pittsburgh, PA are:
What are popular job titles related to Computer Vision Engineer jobs in Pittsburgh, PA? For Computer Vision Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Computer Vision Engineer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Computer Vision Engineer jobs? Cities near Pittsburgh, PA with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $113,547 per year, or $54.6 per hour.

Senior Vision Systems Engineer (Clinton, PA)

Haemonetics

Clinton, PA • On-site

$90K - $153K/yr

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago


Haemonetics rating

8.0

Company rating: 8.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

We are constantly looking to add to our core talent. If you are seeking a career that is challenging and rewarding, a work environment that is diverse and dynamic, look no further - Haemonetics is your employer of choice.

Job Details

The Senior Automation Controls & Vision Engineer will play a critical role in designing, developing, integrating, and optimizing advanced automation and vision-based inspection systems across the Global Manufacturing Supply Chain. This position operates within the Automation Engineering department and collaborates closely with R&D, manufacturing, quality, and software engineering teams to ensure reliable deployment of vision-enabled automation for defect detection and high-quality manufacturing performance. The position will be located onsite in Clinton, PA. Preference will be provided to local candidates or candidates indicating they will be relocating within a commutable distance. Please note that this role while onsite in Clinton, PA will require some travel (approx. 25% Domestic or International).

Vision System Integration & Engineering:

Lead integration of machine vision systems-leveraging technologies from Cognex, Keyence, Teledyne, SICK, Fanuc, KUKA, Dalsa, and other industry vendors-into automated manufacturing processes for defect detection and quality control.

Configure and optimize machine vision setups, including lighting, positioning, vibration control, reflections, and lens selection, to maximize inspection reliability.

Develop and refine imageprocessing algorithms to identify, classify, and analyze manufacturing defects.

Automation Controls & PLC Responsibilities

Design, program, test, and deploy automation control solutions with a strong emphasis on AllenBradley PLCs (ControlLogix, CompactLogix, FactoryTalk, etc.).

Develop HMI interfaces, safety interlocks, communication networks, and integrated control architectures supporting automation and visioninspection functions.

Troubleshoot and improve electrical control systems, control panel hardware, and machine performance.

Robotics:

Preferred: Program, integrate, and troubleshoot Epson and ABB robots for automated handling, inspection, and machinetending applications.

Partner with manufacturing engineering teams to integrate robots with PLCs, vision systems, and custom tooling.

Process Optimization & Continuous Improvement

Evaluate automation and vision system performance to reduce defects, improve throughput, and increase equipment reliability.

Support Industry 4.0 and IoT initiatives to enable connected, datadriven manufacturing systems.

Vendor & CrossFunctional Collaboration:

Manage relationships with vision system vendors and automation equipment suppliers, including evaluating new technologies and supporting hardware/software upgrades.

Collaborate with R&D, quality, software engineering, and manufacturing teams to align technical solutions with production requirements.

Documentation & Standards

Create and maintain technical documentation such as equipment specifications, test protocols, system requirements, procedures, drawings, and SOPs.

Support development of engineering standards for custom automated manufacturing equipment.

EDUCATION/EXPERIENCE:

Bachelor's Degree in Engineering, Required (Electrical Engineering, Computer Science, or a related field); Master's Degree preferred.

5+ years in automation controls or vision system engineering, including visionbased defect detection and integration of major vision platforms.

Strong proficiency in AllenBradley PLC programming.

Handson experience with vision system setup (lighting, vibration, positioning, lensing, reflection reduction, etc.).

Programming experience in C++ or Python for automation or vision applications.

Proven ability to lead automation or vision system projects from concept through deployment.

Preferred Experience & Skills:

Experience with Epson and/or ABB robot programming.

Medical device manufacturing experience.

Experience with automated vision inspection and scanning hardware/software.

Knowledge of OSHA, ANSI, and relevant safety regulations.

Strong skills in rootcause analysis and technical/validation document writing.

Ability to manage multiple concurrent automation projects.

Licenses & Certifications:

Knowledge of Lean/Six Sigma methodologies; Green Belt or Black Belt preferred.

Travel Requirements:

Up to 25% travel, including international travel.


EEO Policy Statement


Pay Transparency:


The pay range for this role is:

$90,100.00-$153,300.00/Annual

The base pay actually offered to the successful candidate will take into account, without limitation, the candidate's location, education, job-knowledge, skills, and experience in prior relevant roles.

Incentives may also be provided as part of Haemonetics' employee compensation. For sales roles, employees will be eligible for sales incentive (i.e., commission) under the applicable plan terms. For non-sales roles, employees will be eligible for a discretionary annual bonus, the target amount of which varies based on the applicable role, to be governed by the applicable plan terms. Employees may also be eligible to participate in the Company's long-term incentive plan, with eligibility and target amount dependent on the role.

In addition to compensation, the Company offers a competitive suite of benefits to its employees, including without limitation, a 401(k) with up to a 6% employer match and no vesting period, an employee stock purchase plan, "flexible time off" for salaried employees and, for hourly employees, accrual of three to five weeks' vacation annually (based on tenure), accrual of up to 64 hours (annually) of paid sick time, paid and/or floating holidays, parental leave, short- and long-term disability insurance, tuition reimbursement, and/or health and welfare benefits.

Depending on your location, you may be eligible for more detailed information related to the compensation and benefits related to this job posting. If you believe you may be entitled to such information by law, you may contact 1-781-348-7777, Monday through Friday, 7:30 a.m. - 5 p.m. ET or email AskHR@Haemonetics.com.



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