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Computer Vision Engineer Jobs in Utah (NOW HIRING)

LVT

Senior Software Engineer - Backend

American Fork, UT

$109K - $144K/yr

Optimize data ingestion pipelines and database performance to handle vast volumes of real-time IoT telemetry, computer vision metadata, and Agentic AI streams. * Data Engineering & ORM Strategy:

NRG

Principal, AI Platform Engineer

Lehi, UT · On-site

Experience supporting computer vision, GenAI, recommendation, or edge AI products * Experience building developer platforms or internal AI tooling Working at Vivint : Learn about the Vivint Culture ...

NRG

Principal, AI Platform Engineer

Lehi, UT · On-site

Experience supporting computer vision, GenAI, recommendation, or edge AI products * Experience building developer platforms or internal AI tooling Working at Vivint : Learn about the Vivint Culture ...

NRG

Principal, AI Platform Engineer

Lehi, UT · On-site

Experience supporting computer vision, GenAI, recommendation, or edge AI products * Experience building developer platforms or internal AI tooling Working at Vivint : Learn about the Vivint Culture ...

D.A. Davidson

AI & Automation Engineer

Salt Lake City, UT · On-site

$90K - $120K/yr

Programming Skills: Proficiency in at least one programming or scripting language (such as Python ... computer vision, speech, and more. * Financial Services Experience: Background in financial ...

Trilon

Structures CAD Technician

Pleasant Grove, UT · On-site

As a Structures CAD Technician, you will support structural engineers in preparing detailed ... Medical, dental, vision, life, and disability insurance * Generous paid time off * 401(k): 50 ...

Horrocks

Structures CAD Technician

Pleasant Grove, UT

$75K - $85K/yr

As a Structures CAD Technician, you will support structural engineers in preparing detailed ... Medical, dental, vision, life, and disability insurance * Generous paid time off * 401(k): 50 ...

LVT

Senior Software Engineer - Backend

American Fork, UT · On-site

$109K - $144K/yr

Optimize data ingestion pipelines and database performance to handle vast volumes of real-time IoT telemetry, computer vision metadata, and Agentic AI streams. * Data Engineering & ORM Strategy:

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Utah

Computer Vision Engineer information

See Utah salary details

$44.2K

$110.6K

$125.2K

How much do computer vision engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer vision engineer in Utah is $110,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $119,700.00 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 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 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 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 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.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Utah?

The most popular types of Computer Vision Engineer jobs in Utah are:

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

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

What job categories do people searching Computer Vision Engineer jobs in Utah look for?

The top searched job categories for Computer Vision Engineer jobs in Utah are:

What cities in Utah are hiring for Computer Vision Engineer jobs?

Cities in Utah with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Utah as of September 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, 5% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $110,624 per year, or $53.2 per hour.

Senior Software Engineer - Backend

American Fork, UT

LVT
See more jobs at LVTexternal

$109K - $144K/yr

Full-time

Re-posted 13 days ago

Job description

ABOUT THIS ROLE

As a Senior Software Engineer at LVT, you will architect, scale, and optimize the distributed core services that power our cutting-edge IoT and Agentic AI platforms. Operating within a high-velocity, collaborative environment, you will take ownership of robust API ecosystems, high-throughput data processing pipelines, and complex microservice architectures. In this critical role, you will solve demanding technical challenges at the intersection of hardware and cloud software, setting the engineering bar for reliability and performance while mentoring high-performing peers.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES

  • Distributed System Architecture: Architect, build, and deploy high-throughput, low-latency backend services and microservices using Node.js, TypeScript, and modern enterprise frameworks.

  • API Design & Ecosystem Management: Lead the design and implementation of resilient RESTful and GraphQL APIs, ensuring secure, efficient integration between physical edge devices, core data stores, and consumer surfaces.

  • System Scalability & Performance: Optimize data ingestion pipelines and database performance to handle vast volumes of real-time IoT telemetry, computer vision metadata, and Agentic AI streams.

  • Data Engineering & ORM Strategy: Design, optimize, and maintain complex relational databases (e.g., MySQL, PostgreSQL), driving best practices around schema design, caching strategies, and ORM query optimization.

  • Engineering Standards & Technical Leadership: Establish code quality standards through rigorous code reviews, automated CI/CD pipeline improvements, architectural design RFCs, and strategic technology selection.

  • Testing & System Resilience: Drive continuous integration and high availability by writing comprehensive unit, integration, and load tests to safeguard critical production systems against regressions.

  • Observability & Incident Response: Implement robust observability, telemetry, and distributed tracing frameworks to proactively monitor health, troubleshoot edge-to-cloud performance bottlenecks, and resolve complex defects.

  • Cross-Functional Collaboration: Partner closely with product management, hardware engineers, and AI research teams to translate ambiguous business requirements into robust, scalable software solutions.

OUR IDEAL CANDIDATE

  • Proven Senior Engineering Experience: 5+ years of professional backend software engineering experience, with a track record of architecting and operating production systems at scale.

  • Advanced TypeScript & Node.js Mastery: Deep expertise in server-side TypeScript and Node.js, including strong knowledge of asynchronous programming, event loops, and microservices design patterns.

  • Production API Expertise: Deep experience designing, building, and scaling performant RESTful and GraphQL APIs for enterprise applications or complex IoT ecosystems.

  • Relational Database & Data Pipeline Mastery: Strong proficiency with relational databases (e.g., MySQL, PostgreSQL), query optimization, indexing strategies, and ORM/query builder toolkits (e.g., Knex, Prisma).

  • Distributed Systems & Infrastructure: Practical experience with containerization (Docker, Kubernetes), asynchronous messaging systems (e.g., Kafka, RabbitMQ, MQTT), and cloud native architecture (AWS/GCP).

  • Commitment to Software Excellence: Passionate about test-driven practices, CI/CD automation, system observability (e.g., OpenTelemetry, Datadog), and strict security standards.

  • Collaborative Leadership & Technical Ownership: Demonstrated ability to mentor junior and mid-level engineers, drive technical consensus across teams, and execute independently in complex, fast-moving environments.

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