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Computer Vision Engineer Jobs in Reno, NV (NOW HIRING)

LJA Engineering

CAD Technician - Aviation

Reno, NV · On-site

We're guided by leaders who foster a culture of respect, collaboration and a shared vision of ... You will collaborate closely with planners, engineers, and project managers to develop ...

Hamilton Company

Automation Engineer

Reno, NV

Computer Networking and Systems is preferred. * Experience with laboratory automation, scientific ... Excellent benefits package includes medical, dental, vision insurance, paid vacation time, paid ...

Hamilton Company

Automation Engineer

Reno, NV · On-site

Computer Networking and Systems is preferred. * Experience with laboratory automation, scientific ... Excellent benefits package includes medical, dental, vision insurance, paid vacation time, paid ...

Hamilton Company

Automation Engineer

Reno, NV · On-site

Computer Networking and Systems is preferred. * Experience with laboratory automation, scientific ... Excellent benefits package includes medical, dental, vision insurance, paid vacation time, paid ...

Hamilton Company

Senior Mechanical Engineer

Reno, NV · On-site

$104K - $137K/yr

Specifically, you will take ideas from concept to implementation through CAD design, dimensioned ... Excellent Benefit Package (medical, dental, vision insurance, paid vacation time, paid sick time ...

Hamilton Company

Senior Mechanical Engineer

Reno, NV · On-site

$104K - $137K/yr

Specifically, you will take ideas from concept to implementation through CAD design, dimensioned ... Excellent Benefit Package (medical, dental, vision insurance, paid vacation time, paid sick time ...

Hamilton Company

Senior Mechanical Engineer

Reno, NV

$104K - $137K/yr

Specifically, you will take ideas from concept to implementation through CAD design, dimensioned ... Excellent Benefit Package (medical, dental, vision insurance, paid vacation time, paid sick time ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Reno, NV

Computer Vision Engineer information

See Reno, NV salary details

$48.4K

$121.2K

$137.1K

How much do computer vision engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for computer vision engineer in Reno, NV is $121,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $131,100.00 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.
More about Computer Vision Engineer jobs
What are popular job titles related to Computer Vision Engineer jobs in Reno, NV? For Computer Vision Engineer jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Reno, NV look for? The top searched job categories for Computer Vision Engineer jobs in Reno, NV are:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Reno, NV as of July 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Nights. Highlights an 100% In-person job distribution, with an average salary of $121,159 per year, or $58.2 per hour.

Software Engineer - ML/Computer Vision (Battery Sorting)

Redwood Materials

Mccarran, NV

Other

Re-posted 12 days ago

Redwood Materials rating

7.6

Company rating: 7.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

22nd of 88 rated recycling and waste

Job description

Software Engineer, ML/Computer Vision (Battery Sorting)

The Battery Sorting team at Redwood Materials is building a world-class, ML-enabled sorting platform that uses computer vision and machine learning to classify and route thousands of end-of-life batteries per hour across diverse chemistries and form factors. This role sits at the intersection of software engineering and machine learning, with direct ownership of the production systems powering automated battery sorting on the factory floor. The ideal candidate is equally comfortable debugging a production incident as iterating on a model, and will have the opportunity to generate patents in automated battery classification. This is a high-impact, highly visible role with immediate real-world application in advancing the energy transition.

Hours

Full-time | Schedule may vary depending on site operational needs; flexibility required

Responsibilities will include:

  • Develop, test, and maintain production software systems powering automated battery sorting, spanning ML inference, image acquisition, sensor integration, and hardware-adjacent control interfaces
  • Train and deploy computer vision models for battery chemistry classification, including dataset annotation, preprocessing, and evaluation within established data pipelines
  • Build and maintain services and APIs that connect ML outputs to downstream systems including MES, HMI, and PLC/controls interfaces
  • Own observability across the production software stack through structured logging, metrics dashboards, alerting, and on-call triage for inference pipelines and supporting services
  • Monitor model performance in production to catch regressions or distribution shifts and drive iterative improvements through data analysis and retraining
  • Contribute to infrastructure-as-code and CI/CD workflows to validate, version, and deploy application code and ML model artifacts to production environments
  • Collaborate cross-functionally with Controls, Hardware, Manufacturing, DevOps, and IT teams to translate operational needs into software and model improvements

Desired Qualifications:

  • B.S. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
  • 2+ years of industry experience working with machine learning models, preferably in computer vision
  • Hands-on experience with ML frameworks and libraries such as PyTorch and OpenCV
  • Experience contributing to production codebases and pipelines with an emphasis on clean, well-documented, and well-tested code
  • Experience designing and tracking ML experiments using tools such as MLflow
  • Familiarity with edge deployment or model optimization techniques for inference (e.g., quantization, TensorRT, ONNX Runtime) in latency-sensitive or resource-constrained environments
  • Experience with OCR, image classification pipelines, or multi-sensor and multimodal fusion
  • Experience working in or alongside industrial, manufacturing, or operations environments where software interacts with physical systems
  • Strong cross-functional communication skills and ability to prioritize and execute in a fast-paced, dynamic environment
  • A passion for sustainability and making the world a better place!

Working Conditions:

  • Factory floor environment; work schedule may vary depending on site operational needs and flexibility is required
  • Willingness and ability to travel to Reno, NV as needed
  • Additional working conditions to be confirmed with Hiring Manager

What Redwood Materials employees say

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