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Full Time H1B Computer Science Jobs in Reno, NV (NOW HIRING)

IT Manager

Reno, NV

$95K - $125K/hr

A healthcare organization is seeking a full-time IT Manager to oversee day-to-day IT operations, ... Associate or bachelor's degree in Information Technology, Computer Science, or related field ...

Product Manager; Data

Truckee, CA · Remote

$150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote, US Employment: Full-time Travel: None Contact: nathan@vibrantplanet.net ABOUT VIBRANT ... REQUIRED QUALIFICATIONS - Degree or equivalent experience in computer science, engineering, data ...

Physical Therapist - Greater Reno, NV

Reno, NV · On-site

$80K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... Full-time/Part-time - Salaried with benefits • PRN/Flex - PPU (Paid Per Unit) • H1B - Able to ... Basic computer literacy skills • Current CPR certification Who is FOX? FOX is a primarily ...

Meteorologist

Reno, NV · On-site

$40K/yr

... to fill full-time permanent positions at multiple NWS locations as vacancies occur. The ... computer science. Calculus coursework appropriate for a physical science major is required as a ...

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Showing results 1-20

Full Time H1B Computer Science information

See Reno, NV salary details

$83.3K

$102.2K

$135.1K

How much do full time h1b computer science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full time h1b computer science in Reno, NV is $102,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $114,700.00 per year, depending on experience, location, and employer.

What is the difference between Full Time H1B Computer Science vs Full Time H1B Software Engineer?

AspectFull Time H1B Computer ScienceFull Time H1B Software Engineer
Required CredentialsBachelor's or higher in Computer Science or related field; often includes certificationsBachelor's or higher in Software Engineering, Computer Science, or related field; certifications vary
Work EnvironmentResearch, development, academia, or industry roles involving computing principlesDesigning, developing, and testing software applications in tech companies or IT firms
Employer & Industry UsageUniversities, research labs, tech companies, government agenciesTech firms, startups, software development companies, IT departments

Both roles require a background in Computer Science, but Full Time H1B Computer Science often involves research or theoretical work, while Full Time H1B Software Engineer focuses on practical software development. The choice depends on your career focus within the tech industry.

What cities near Reno, NV are hiring for Full Time H1B Computer Science jobs?

Cities near Reno, NV with the most Full Time H1B Computer Science job openings:

Infographic showing various Full Time H1B Computer Science job openings in Reno, NV as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $102,199 per year, or $49.1 per hour.

Software Engineer - ML/Computer Vision (Battery Sorting)

Redwood Materials

Mccarran, NV • On-site

Full-time

Re-posted 26 days ago


Redwood Materials rating

7.6

Company rating: 7.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

24th of 91 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

Pay

Hours and flexibility

Workplace

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