ZipRecruiter

Log In

1

On Call Computer Science Startup Jobs (NOW HIRING)

SkyNano

Computer Science Intern

Knoxville, TN

Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... SkyNano LLC About SkyNano SkyNano is a fast-growing startup transforming carbon emissions into ...

SkyNano

Computer Science Intern

Knoxville, TN · On-site

Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... SkyNano LLC About SkyNano SkyNano is a fast-growing startup transforming carbon emissions into ...

Adobe, Inc.

Computer Scientist

San Jose, CA · On-site

Our team works like a startup inside Adobe, making this a unique "best of both worlds" opportunity ... S., or PhD degree in Computer Science or a related field. * Experience with computer vision ...

Adobe

Computer Scientist

San Jose, CA

Our team works like a startup inside Adobe, making this a unique "best of both worlds" opportunity ... S., or PhD degree in Computer Science or a related field. * Experience with computer vision ...

Adobe

Senior Computer Scientist

San Jose, CA

Our team works like a startup inside Adobe, making this a unique "best of both worlds" opportunity ... S., or PhD degree in Computer Science or a related field. * Experience with computer vision ...

Adobe, Inc.

Senior Computer Scientist

San Jose, CA · On-site

Our team works like a startup inside Adobe, making this a unique "best of both worlds" opportunity ... S., or PhD degree in Computer Science or a related field. * Experience with computer vision ...

Formlabs

Startup Founder

Somerville, MA · On-site

$254K - $266K/yr

They are seeking a Startup Founder to act as a mini-CEO, responsible for identifying and scaling ... Preferred : • Robotics, Mechanical Engineering, Computer Science Degree, or related • ...

next page

Showing results 1-20

All JobsComputer Science JobsOn Call JobsOn Call Computer Science Startup Jobs

On Call Computer Science Startup information

See salary details

$83.5K

$102.5K

$135.5K

How much do on call computer science startup jobs pay per year?

As of Sep 10, 2026, the average yearly pay for on call computer science startup in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What is an on call computer science startup?

An On Call Computer Science Startup is a company that provides flexible, technology-driven solutions and support on an as-needed basis. These startups often offer services such as software development, troubleshooting, consulting, or technical support for clients who require immediate or short-term assistance. The 'on call' aspect means their team is available outside of typical business hours or at short notice, catering to urgent or unpredictable technology needs. This business model is especially valuable for organizations that do not have in-house IT staff or need specialized expertise for specific projects.

What are the key skills and qualifications needed to thrive as an on call computer science startup professional?

To thrive as an On-Call Computer Science Startup Professional, you need strong programming skills, problem-solving abilities, and a solid understanding of computer science fundamentals, often supported by a relevant degree or equivalent experience. Familiarity with cloud platforms, version control systems like Git, and frameworks commonly used for rapid prototyping is essential. Outstanding communication, adaptability, and time management skills help you excel when responding to urgent challenges and collaborating with dynamic teams. These competencies are crucial for effectively addressing technical issues, ensuring business continuity, and driving innovation in a fast-paced startup environment.

What are some common challenges faced by team members in an on call computer science startup role?

Team members in on-call computer science startup roles often face the challenge of balancing unpredictable work hours with personal life, as urgent technical issues can arise at any time. They must be adept at quickly diagnosing and resolving complex problems, sometimes under significant time pressure. Additionally, adapting to rapidly changing project scopes and collaborating closely with cross-functional teams in a fast-paced environment is essential. Effective communication and stress management skills are crucial to succeed and grow in this dynamic setting.

What is the difference between On Call Computer Science Startup vs Software Developer?

AspectOn Call Computer Science StartupSoftware Developer
CredentialsTypically requires a degree in computer science or related field, sometimes certifications in specific technologiesUsually requires a degree in computer science, software engineering, or related field; certifications are optional
Work EnvironmentFast-paced, dynamic startup setting, often remote or flexible hours, with on-demand support rolesOffice or remote-based, structured hours, focused on developing software products or applications
Employer & Industry UsageCommon in tech startups providing on-demand technical support or consulting servicesWidely used across industries for building and maintaining software solutions

In summary, On Call Computer Science Startup roles focus on providing immediate technical support in a startup environment, often with flexible hours, while Software Developers primarily design, code, and maintain software products in more structured settings. Both roles require similar technical credentials but differ in work environment and job focus.

More about On Call Computer Science Startup jobs

What are the most commonly searched types of Computer Science Startup jobs?

The most popular types of Computer Science Startup jobs are:

What job categories do people searching On Call Computer Science Startup jobs look for?

The top searched job categories for On Call Computer Science Startup jobs are:

On Call Computer Science Startup jobs near you
Infographic showing various On Call Computer Science Startup job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $102,500 per year, or $49.3 per hour.

Computer Science Intern

Knoxville, TN

SkyNano
Nanotechnology Research and Development • 1 - 10 employees
Learn more about SkyNanoexternal

Full-time, Internship

Re-posted 29 days ago

Job description

Job Title: Computer Science Intern

Location: Knoxville, TN | Full-Time, Summer 2026

Company: SkyNano LLC

About SkyNano

SkyNano is a fast-growing startup transforming carbon emissions into value. We've developed and patented an electrochemical process to convert CO into high-performance carbon nanotubes (CNTs) and battery-grade graphite, unlocking new possibilities for advanced materials while solving urgent industrial challenges. As we scale our technology from pilot to commercial manufacturing, we are building a world-class team of engineers, scientists, and builders motivated by deep technical challenges and real-world impact.

At SkyNano, you'll find a mission-driven culture that values creativity, rigorous engineering, cross-disciplinary collaboration, and continuous learning. Your work will directly contribute to scaling a first-of-a-kind, high-temperature electrochemical manufacturing platform.

Position Summary

We are seeking a full-time Computer Science Intern to join our team for the Summer of 2026 in our Knoxville, Tennessee facility. The intern's primary project will be the development of a semi-automated image analysis tool for carbon processing from scanning electron microscopy (SEM) images.

Key Responsibilities:

  • Assist in developing and refining a Python-based GUI using PyQt5 and OpenCV.
  • Support integration of analysis features and image segmentation tools.
  • Help test and debug new functionality across different image sets.
  • Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Background coding Knowledge:

  • Python is required, C++ is a bonus to understand the API's.
  • Knowledge of PyQt5 or other GUI frameworks is strongly preferred.
  • OpenCV for image processing is strongly preferred.
  • Familiarity with NumPy and Matplotlib.
  • Familiar with understanding image segmentation, masking, or broad image analysis.

Course Requirements/Level of expertise: Junior level and above.

Other Requirements: Must be a U.S. Citizen.

Apply