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Internship Application Software Engineer Jobs in Reno, NV

Software Engineer-DevOps

Reno, NV

$52.50 - $72/hr

Role Summary As a Software Engineer-DevOps, you'll work directly with our infrastructure team to ... Ability to read and understand application logs, error messages, and monitoring data * Strong ...

Software Engineer-DevOps

Reno, NV · On-site

$140K - $160K/yr

Role Summary As a Software Engineer-DevOps, you'll work directly with our infrastructure team to ... Ability to read and understand application logs, error messages, and monitoring data * Strong ...

Build and own the front-end test automation framework for our VueJS application from the ground up ... Act as the primary advocate for software quality, mentoring engineers on testing best practices and ...

Senior Firmware Engineer

Reno, NV · On-site

$119K - $157K/yr

... developing application software/firmware for embedded controllers in C, defining interface ... Mentors less experienced engineers Minimum Job Requirements * Bachelor of Science in Electrical ...

The Application Engineer supports existing and new programs by acting as the primary technical ... Software Proficiency: Strong drafting skills using AutoCAD and Solidworks; proficiency in Gear ...

The Application Engineer supports existing and new programs by acting as the primary technical ... Software Proficiency: Strong drafting skills using AutoCAD and Solidworks; proficiency in Gear ...

Senior Firmware Engineer

Reno, NV · On-site

$90 - $120/hr

Senior Firmware Engineer page is loaded## Senior Firmware Engineerremote type: Onsitelocations ... developing application software/firmware for embedded controllers in C, defining interface ...

Showing results 21-40

Internship Application Software Engineer information

See Reno, NV salary details

$13

$25

$38

How much do internship application software engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship application software engineer in Reno, NV is $25.34, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $28.75 per hour, depending on experience, location, and employer.

What is the difference between Internship Application Software Engineer vs Application Software Engineer?

AspectInternship Application Software EngineerApplication Software Engineer
Required CredentialsEnrolled in or recent graduate of a relevant degree (e.g., Computer Science)Bachelor's or higher in Computer Science or related field
Work EnvironmentInternship programs, entry-level projects, mentorshipFull-time employment, project development, team collaboration
Employer & Industry UsageTech companies, startups, internships for skill developmentTech firms, software companies, enterprise environments
Search & Comparison IntentUnderstanding internship roles, entry-level opportunitiesCareer progression, job responsibilities, full-time roles

The main difference is that an Internship Application Software Engineer is an entry-level, temporary position aimed at gaining experience, while an Application Software Engineer is a full-time role focused on developing and maintaining software products. Internships often serve as a stepping stone to full-time employment in software engineering.

What are the most commonly searched types of Application Software Engineer jobs in Reno, NV?

The most popular types of Application Software Engineer jobs in Reno, NV are:

What cities near Reno, NV are hiring for Internship Application Software Engineer jobs?

Cities near Reno, NV with the most Internship Application Software Engineer job openings:

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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