1

Computer Vision Engineer Jobs in Salt Lake City, UT

Sr Software Engineer, AI Engineer

Lehi, UT

$115K - $151K/yr

Computer vision * Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation * Programming and Technical Proficiency: Rust, C++, Python, Shell, Embedded Linux ...

New

Sr Software Engineer, AI Engineer

Lehi, UT

$115K - $151K/yr

Computer vision * Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation * Programming and Technical Proficiency: Rust, C++, Python, Shell, Embedded Linux ...

New

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Exploring the use of LLMs, computer vision, and generative AI to address client business challenges

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Exploring the use of LLMs, computer vision, and generative AI to address client business challenges

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:

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 ...

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 ...

next page

Showing results 1-20

Computer Vision Engineer information

See Salt Lake City, UT salary details

$44.5K

$111.6K

$126.3K

How much do computer vision engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for computer vision engineer in Salt Lake City, UT is $111,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $120,800.00 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.

What are the most commonly searched types of Computer Vision Engineer jobs in Salt Lake City, UT?

The most popular types of Computer Vision Engineer jobs in Salt Lake City, UT are:

What are popular job titles related to Computer Vision Engineer jobs in Salt Lake City, UT?

For Computer Vision Engineer jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Salt Lake City, UT look for?

The top searched job categories for Computer Vision Engineer jobs in Salt Lake City, UT are:

Infographic showing various Computer Vision Engineer job openings in Salt Lake City, UT 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 $117,592 per year, or $56.5 per hour.

Sr Software Engineer, AI Engineer

NRG

Lehi, UT

$115K - $151K/yr

Full-time

Posted 2 days ago

New


Job description

Welcome to the intersection of energy and home services. At NRG, we’re driven by our passion to create a smarter, cleaner and more connected future.

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes.

About This Role

As an AI Engineer on the Camera AI team, you will work alongside a group of talented and collaborative engineers to create practical AI solutions that significantly enhance home protection, provide valuable insights, and increase daily convenience. Our pioneering, fully integrated smart home ecosystem provides a unique platform to develop groundbreaking experiences in computer vision, sensor fusion, and advanced machine learning applications.

Your key responsibilities will encompass:

  • Lead the design and development of high-quality, scalable AI features and products, focusing on customer benefits and technical excellence.
  • Collaborate closely with cross-functional teams (embedded, apps, platform, QA, product, and UX) to successfully deploy AI solutions to our large customer base.
  • Create, test, and refine advanced machine learning models, optimizing them for both edge and cloud environments.
  • Develop comprehensive pipelines for data management, including curation, visualization, annotation, and model training processes.
  • Continuously monitor and maintain the performance of AI features in production, ensuring ongoing customer value and discover iterative improvements.

Required Qualifications:

  • Bachelor's, Master's, PhD in Data Science, Mathematics, Computer Science, Computer Engineering, Electrical Engineering or related field and 3-5 years of relevant experience Strong analytical and problem-solving skills AI/ML Experience:
  • Computer vision
  • Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation
  • Programming and Technical Proficiency: Rust, C++, Python, Shell, Embedded Linux, Git

Preferred Qualifications:

  • Computer Vision: Classification, Object Detection, Segmentation, Tracking, Recognition, VLM, Pose, Vector Embeddings, Re-ID, OpenCV
  • ML frameworks: TensorFlow, PyTorch
  • Data Engineering:
  • FiftyOne, CVAT, Vertex AI, Label Studio
  • Data Visualization/Story Telling and Data Wrangling/Munging/Big Data
  • MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines
  • Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure
  • Databases: SQL, NoSQL, Vector, Time Series, Graph
  • Transformers, LLMs, Knowledge Graphs
  • Multimedia pipelines: GStreamer, ffmpeg, mediapipe
  • Edge computing, Embedded Systems, and IoT Devices
  • Model compression techniques
  • Image, Audio, Radar, Signal Processing
  • Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth
  • Experience working with secure, scalable, high-availability, low latency, and distributed solutions
  • JIRA and Confluence proficiency

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)

Official description on file with Talent.

We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.


NRG logo

About NRG

Sourced by ZipRecruiter

At NRG, we're bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information is available at www.nrg.com. Connect with NRG on Facebook, LinkedIn and follow us on Twitter @nrgenergy.

Industry

Oil and coal products manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Houston, TX, US