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On Call Computer Science Startup Jobs (NOW HIRING)

DEUNA

Data Science intern

San Francisco, CA · On-site

About DEUNA DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI ... Computer Science * Data Science * Statistics * Mathematics * Engineering * Economics * Physics * Or ...

zentek infosoft

Network Engineer

Redwood City, CA · On-site

... in a high growth startup environment, so expect to be on-call on off-hours. Skills: Thorough ... Skype:-akansha.chobey Website:- www.zentekinfosoft.com Qualifications BS/MS in Computer Science ...

Cheez

Product Manager @ Social app startup

Edmond, OK · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Cheez

Product Manager @ Social app startup

Arcata, CA · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Cheez

Product Manager @ Social app startup

Norman, OK · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Cheez

Product Manager @ Social app startup

Fargo, ND · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Cheez

Product Manager @ Social app startup

Concord, NH · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Cheez

Product Manager @ Social app startup

Casper, WY · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Cheez

Product Manager @ Social app startup

Greeley, CO · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

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All JobsOn Call Computer Science Startup Jobs

On Call Computer Science Startup information

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$102.5K

$135.5K

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

As of Jul 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 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.

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 are the key skills and qualifications needed to thrive as an On-Call Computer Science Startup Professional, and why are they important?

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 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.
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 76% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $102,500 per year, or $49.3 per hour.

Computer Vision & Machine Learning Engineer, Mid-Level

Allen Control Systems

Austin, TX • On-site

$110K - $130K/yr

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup focused on developing autonomous anti-drone systems. The Computer Vision & Machine Learning Engineer will develop and optimize algorithms for drone detection and classification, design machine learning models, and collaborate with electrical engineers to integrate systems into hardware.
Responsibilities:
• Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
• Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
• Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
• Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
• Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.
Qualifications:
Required:
• Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
• At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 4-7 years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
• A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
• Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with embedded systems and integrating computer vision algorithms into hardware.
• Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
• You enjoy collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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