ZipRecruiter

Log In

1

Senior Computer Vision Jobs in Dallas, TX (NOW HIRING)

Paradigm

Senior Applied ML Engineer

Irving, TX · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries. We ... You will apply advanced ML techniques--ranging from computer vision to large language models--to ...

WTS Paradigm LLC

Senior Applied ML Engineer

Irving, TX · On-site

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries. We ... You will apply advanced ML techniques-ranging from computer vision to large language models-to ...

Waabi

Senior / Staff Perception Engineer

Dallas, TX · On-site

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... computer vision, and self-driving technologies to develop cutting-edge solutions that enable our ...

Waabi

Senior / Staff Perception Engineer

Dallas, TX

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... computer vision, and self-driving technologies to develop cutting-edge solutions that enable our ...

Waabi

Senior / Staff Perception Engineer

Dallas, TX · On-site +1

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... computer vision, and self-driving technologies to develop cutting-edge solutions that enable our ...

SuperMom's LLC

Senior Director, Enterprise AI

Irving, TX · On-site

$150 - $200/hr

Senior Director, Enterprise AISkip to main contentThis website stores cookies on your computer ... Enable edge and real-time AI and computer vision for in-store decisioning where latency and ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

next page

Showing results 1-20

All JobsComputer Vision JobsSenior Computer Vision JobsSenior Computer Vision Jobs in Dallas, TX

Senior Computer Vision information

See Dallas, TX salary details

$24.7K

$79.4K

$161.7K

How much do senior computer vision jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior computer vision in Dallas, TX is $79,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,100.00 and $101,900.00 per year, depending on experience, location, and employer.

What does a senior computer vision engineer do?

A Senior Computer Vision Engineer designs and implements algorithms that enable computers to interpret and process visual data from the world, such as images and videos. They work on tasks like object detection, image classification, and facial recognition, often using machine learning and deep learning techniques. Senior-level professionals also lead projects, mentor junior engineers, and help integrate computer vision solutions into products or services. Their expertise is critical in industries like autonomous vehicles, healthcare, robotics, and security.

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

Senior Computer Vision Engineers frequently encounter challenges such as ensuring model robustness under real-world conditions, optimizing inference speed for large-scale deployments, and managing diverse data quality issues. Additionally, integrating computer vision models into existing software systems often requires close collaboration with backend engineers and DevOps teams to maintain reliable, scalable pipelines. Addressing these obstacles typically involves rigorous testing, ongoing model monitoring, and iterative improvement to ensure accuracy and performance in dynamic environments.

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 deep expertise in computer vision algorithms, machine learning, and a strong background in mathematics or computer science, usually supported by an advanced degree. Mastery of programming languages like Python or C++, and experience with frameworks such as OpenCV, TensorFlow, or PyTorch, as well as familiarity with cloud platforms and GPU computing, are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across interdisciplinary teams are vital soft skills. These competencies are crucial for developing innovative vision solutions, ensuring project success, and translating complex technical concepts for diverse stakeholders.

What are the most commonly searched types of Computer Vision jobs in Dallas, TX?

The most popular types of Computer Vision jobs in Dallas, TX are:

What are popular job titles related to Senior Computer Vision jobs in Dallas, TX?

For Senior Computer Vision jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Senior Computer Vision jobs in Dallas, TX look for?

The top searched job categories for Senior Computer Vision jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Senior Computer Vision jobs?

Cities near Dallas, TX with the most Senior Computer Vision job openings:

Senior Computer Vision jobs near you
Infographic showing various Senior Computer Vision job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $79,423 per year, or $38.2 per hour.

Digital Product Sr Manager Intelligent Vision

PepsiCo

Plano, TX • On-site

$140K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 896 frontline employees who took The Breakroom Quiz

152nd of 440 rated food and drinks producers

Job description

Overview
We are seeking a Digital Product Sr Manager Intelligent Vision to define, build, and scale PepsiCo's Vision based digital products as a global capability supporting intelligent automation, quality assurance, safety, asset monitoring, and operational excellence across manufacturing plants, warehouses, and distribution centers.
This role will own the product vision, roadmap, and feature backlog for Intelligent Vision, enabling enterprise-scale computer vision and artificial intelligence capabilities that transform visual information into actionable business intelligence. The Vision based digital product/s provide standardized AI-powered inspection, quality monitoring, safety analytics, inventory visibility, asset recognition, process compliance, and intelligent event detection capabilities that enhance operational performance while reducing manual effort.
The Product Owner will work closely with Quality, Manufacturing, Supply Chain, Engineering, Data Science, AI Engineering, solution architects, software development teams, and strategic technology partners to deliver scalable computer vision products that accelerate AI adoption across PepsiCo's global manufacturing and logistics network
Responsibilities
Intelligent Vision Product Strategy
  • Own the vision, strategy, and multi-year roadmap for PepsiCo's Intelligent Vision products supporting manufacturing, warehousing, quality, safety, and logistics operations.
  • Define scalable computer vision capabilities that can be deployed consistently across PepsiCo's global manufacturing and distribution network.
  • Identify high-value AI vision use cases and prioritize investments based on business value, operational impact, and scalability.
  • Partner with Quality, Manufacturing, Supply Chain, Safety, and Digital organizations to develop enterprise vision capabilities.
  • Establish measurable product outcomes tied to quality improvement, safety performance, labor efficiency, and operational excellence.

Intelligent Vision Products & Capabilities
  • Own the roadmap for AI-enabled visual inspection, quality monitoring, safety analytics, asset recognition, inventory visibility, process compliance, and intelligent event detection.
  • Define reusable AI models, vision pipelines, synthetic data strategies, and computer vision frameworks that accelerate deployment globally.
  • Drive standardization of edge AI, camera infrastructure, inference pipelines, and model lifecycle management.
  • Enable integration of computer vision outputs into Operational Twins, Engineering Twins, enterprise analytics platforms, and AI services.
  • Establish governance processes ensuring model accuracy, explainability, scalability, and continuous learning.

Product Ownership & Agile Delivery
  • Own the Intelligent Vision product backlog, roadmap, release planning, and feature prioritization.
  • Translate customer requirements into user stories, acceptance criteria, and product releases.
  • Partner with AI engineers, data scientists, software developers, UX teams, and infrastructure teams throughout Agile delivery.
  • Balance innovation with reliability, scalability, cybersecurity, and operational readiness.
  • Ensure continuous improvement of Vision products through customer feedback and AI model performance monitoring.

Platform Integration & Cross-Functional Collaboration
  • Ensure Intelligent Vision products integrate seamlessly with the Digital Twin Platform and complementary products including Spatial, Engineering, and Operational Twins.
  • Collaborate with Platform Engineering, AI Centers of Excellence, Data Engineering, Manufacturing Engineering, and Warehouse Operations teams.
  • Partner with external AI vendors, camera providers, robotics companies, and system integrators to align product roadmaps.
  • Promote reusable data products, AI services, APIs, and platform capabilities that enable enterprise-wide adoption.

User Experience & Business Value
  • Define user personas for quality inspectors, plant operators, warehouse associates, safety managers, manufacturing engineers, and operations leaders.
  • Establish KPIs measuring inspection accuracy, defect detection, safety improvements, automation rates, model performance, and business value.
  • Conduct product demonstrations, user testing sessions, and stakeholder workshops to continuously refine the product experience.
  • Drive global adoption through standardized deployment playbooks, training, documentation, and change management.

Compensation & Benefits:
  • The expected compensation range for this position is between $140,100 - $210,000.
  • Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
  • Bonus based on performance and eligibility target payout is 15% of annual salary paid out annually.
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
  • In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications
Education
  • Bachelor's degree required in Computer Science, Artificial Intelligence, Electrical Engineering, Robotics, Data Science, Industrial Engineering, or related field.
  • Master's degree preferred in Artificial Intelligence, Machine Learning, Computer Vision, Engineering, or Business Administration.
Experience
  • 10+ years of experience in Product Management, Artificial Intelligence, Computer Vision, Manufacturing Technology, or Digital Transformation.
  • Proven experience managing AI-enabled enterprise software products from strategy through deployment.
  • Experience delivering Computer Vision or Machine Learning solutions within manufacturing, logistics, or industrial environments.
  • Experience working with Agile software development teams and AI engineering organizations.
  • Experience balancing innovation with enterprise scalability, governance, and operational deployment.
Technical Expertise
  • Strong understanding of Computer Vision, Machine Learning, Deep Learning, and AI model lifecycle management.
  • Experience with industrial camera systems, edge computing, AI inference platforms, and intelligent automation.
  • Familiarity with synthetic data generation, MLOps, model governance, and AI deployment at scale.
  • Understanding of Digital Twin platforms, cloud-native architectures, APIs, and enterprise integration.
  • Knowledge of manufacturing quality systems, warehouse operations, robotics, automation, and industrial AI applications.
Leadership
  • Strong product management and strategic planning capabilities.
  • Excellent communication skills with the ability to influence senior technology and business leaders.
  • Proven ability to lead highly technical cross-functional teams.
  • Strong customer-centric mindset focused on delivering measurable business outcomes.
  • Demonstrated success driving enterprise AI adoption within global organizations.

Success Metrics
  • Intelligent Vision capabilities deployed successfully across prioritized manufacturing plants and warehouse operations globally.
  • Increased automation of quality inspection, safety monitoring, inventory recognition, and operational analytics through reusable AI products.
  • Significant improvements in defect detection, inspection accuracy, safety compliance, and operational efficiency.
  • Standardized enterprise Computer Vision capabilities supporting multiple business functions through reusable AI services.
  • High AI model accuracy, scalability, reliability, and operational adoption across global deployments.
  • Product roadmap delivered on schedule with measurable customer adoption and business value realization.
  • Strong collaboration across AI, Platform, Manufacturing, and Operations teams resulting in scalable enterprise Intelligent Vision capabilities.

>
Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.
Please view our Pay Transparency Statement.

What PepsiCo employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

PepsiCo logo

About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965

View All PepsiCo Jobs

Apply