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Entry Level Cognitive Engineering Jobs (NOW HIRING)

... * Entry-level certifications such as Network+ or similar are preferred. * Exposure to firewall ... high-level cognitive thinking. Also, must be able to lift up to 50 pounds occasionally. The ...

Junior Network Engineer

Greenville, SC · On-site

$67K - $87K/yr

... * Entry-level certifications such as Network+ or similar are preferred. * Exposure to firewall ... high-level cognitive thinking. Also, must be able to lift up to 50 pounds occasionally. The ...

... * Entry-level certifications such as Network+ or similar are preferred. * Exposure to firewall ... high-level cognitive thinking. Also, must be able to lift up to 50 pounds occasionally. The ...

Showing results 41-60

Entry Level Cognitive Engineering information

See salary details

$40.5K

$86.4K

$142.5K

How much do entry level cognitive engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for entry level cognitive engineering in the United States is $86,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $103,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level cognitive engineer, and why are they important?

To thrive as an Entry Level Cognitive Engineer, you need foundational knowledge in human factors, cognitive psychology, and systems engineering, often supported by a relevant bachelor's degree. Familiarity with usability testing tools, human-computer interaction (HCI) software, and data analysis platforms is typically required. Strong problem-solving abilities, attention to detail, and effective collaboration skills set outstanding candidates apart. These skills are essential for designing user-centered systems that enhance safety, efficiency, and user satisfaction.

What is the difference between Entry Level Cognitive Engineering vs Entry Level Data Scientist?

AspectEntry Level Cognitive EngineeringEntry Level Data Scientist
Required CredentialsBachelor's in Cognitive Science, Psychology, or related fields; basic programming skillsBachelor's in Computer Science, Statistics, or related fields; programming and statistical knowledge
Work EnvironmentResearch labs, tech companies, R&D departmentsTech firms, finance, healthcare, consulting
Employer & Industry UsageUsed in AI development, human-computer interaction, cognitive modelingUsed in data analysis, predictive modeling, machine learning

Entry Level Cognitive Engineering focuses on understanding human cognition to improve technology interfaces, while Entry Level Data Scientist emphasizes analyzing data to inform business decisions. Both roles require programming skills and are found in tech-driven industries, but they serve different core functions within organizations.

What does an entry level cognitive engineer do?

An entry level cognitive engineer develops and applies models of human cognition to improve systems such as user interfaces, AI, or automation. They analyze how people process information and use tools like programming languages and cognitive science principles to design solutions. This role often involves data analysis, research, and collaboration with multidisciplinary teams.

What types of projects do entry-level cognitive engineers typically work on, and how do they collaborate with senior team members?

Entry-level cognitive engineers often contribute to projects involving user experience research, human-computer interaction analysis, and the development of cognitive models for new products or systems. They usually assist in conducting usability studies, collecting and analyzing data, and preparing reports under the guidance of more experienced engineers. Collaboration is key in this role, as entry-level professionals routinely work with senior cognitive engineers, designers, and software developers to ensure that solutions are both technically sound and user-friendly. This teamwork offers valuable opportunities to learn industry best practices and gain exposure to complex, real-world challenges.

What is entry level cognitive engineering?

Entry level cognitive engineering refers to positions that focus on understanding how people think, learn, and interact with systems, with the goal of designing technology and processes that align with human cognitive abilities. Professionals in this field may analyze user behavior, develop user interfaces, and conduct experiments to improve human-computer interaction. These roles often require foundational knowledge of psychology, engineering, and computer science, but are suitable for those just starting their careers. Entry level cognitive engineers typically work on teams to support research, testing, and the development of user-friendly products.
More about Entry Level Cognitive Engineering jobs
What cities are hiring for Entry Level Cognitive Engineering jobs? Cities with the most Entry Level Cognitive Engineering job openings:
What are the most commonly searched types of Cognitive Engineering jobs? The most popular types of Cognitive Engineering jobs are:
What states have the most Entry Level Cognitive Engineering jobs? States with the most job openings for Entry Level Cognitive Engineering jobs include:
What job categories do people searching Entry Level Cognitive Engineering jobs look for? The top searched job categories for Entry Level Cognitive Engineering jobs are:
Infographic showing various Entry Level Cognitive Engineering job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $86,381 per year, or $41.5 per hour.

Software Engineer - Early Career

Varsitybrands

Farmers Branch, TX • On-site

Full-time

Medical, Life, Retirement

Re-posted 20 days ago


Job description

JOIN THE BEST TEAM IN SPORT & SPIRIT

At Varsity Brands, we believe every student deserves the opportunity to succeed and every educator wants to make a difference. It takes a team to make a real impact, and through our two divisions - BSN SPORTS and Varsity Spirit - and our network of 6,000+ employees and independent representatives, we are proud to partner with a wide range of educational institutions and club and professional sports to transform the student journey in SPORT and SPIRIT.

Onsite: 5 days onsite at Dallas TX Headquarters

Applicants must be currently authorized to work in the U.S. on a full-time basis.

This position is not eligible for immigration sponsorship. We are unable to sponsor or take over sponsorship of an employment Visa for this role now or in the future.

Varsity Brands is building a modern, unified digital platform that powers the full experience of sport and spirit, from product configuration and ordering to delivery and customer engagement. This platform replaces fragmented systems with scalable, API-driven services and shared platform capabilities, enabling faster innovation and improved user experiences.

The Software Engineer I (SE I) role is an entry-level engineering position responsible for contributing to the development of this platform. This role applies foundational software engineering knowledge and exercises independent judgment in executing assigned work, including selecting appropriate approaches within established guidelines to build, test, and maintain software components.

This is a high-growth role designed to develop the next generation of engineers who will contribute to Varsity Brands' platform transformation.

Impact of the Role

  • Contributes to delivery of platform features and backend services that power critical business and customer experiences

  • Builds foundational capability to support scalable, cloud-based engineering environments

  • Establishes a pipeline of engineering talent aligned to Varsity Brands' long-term platform strategy

  • Supports the transition from fragmented tools to a unified platform architecture

WHAT YOU WILL DO:

  • Write, test, and debug code for applications, backend services, and APIs

  • Contribute to development of features and services within established architecture and engineering standards

  • Participate in code reviews and incorporate feedback to improve code quality

  • Troubleshoot and resolve development and lower-environment issues, applying sound judgment to determine appropriate solutions

  • Collaborate with engineering, product, and QA teams to deliver functional and reliable software

  • Follow established development workflows, security practices, and engineering standards

  • Contribute to documentation and knowledge sharing to support team effectiveness

  • Continuously build understanding of platform architecture, service interactions, and system design principles

  • Develop working knowledge of platform services, system interactions, and engineering patterns to support future growth into independent ownership

QUALIFICATIONS:

Knowledge, Skills, Abilities

The ideal candidate will demonstrate the following capabilities:

Technical Knowledge

  • Foundational knowledge of software engineering principles, including object-oriented programming and data structures

  • Basic understanding of APIs, application architecture, and databases

  • Familiarity with modern development environments and tools

Technical Skills

  • Ability to write, test, and debug code in at least one programming language (Java preferred)

  • Foundational understanding of:

    • RESTful APIs

    • SQL and data handling

    • Version control systems (Git-based tools)

Cognitive & Problem-Solving Abilities

  • Applies logical reasoning to solve defined technical problems

  • Exercises independent judgment in selecting approaches within established guidelines

  • Identifies issues and escalates appropriately when needed

Collaboration & Communication

  • Communicates effectively within team environments

  • Actively participates in team collaboration and development processes

  • Incorporates feedback to improve performance and output

Learning Agility

  • Demonstrates ability to quickly learn new technologies and tools

  • Adapts to evolving engineering practices and environments

Education, Certification and Experience Required:

  • Bachelor's degree in Computer Science, Engineering, or related technical discipline; or equivalent combination of education and experience

  • 0-2 years of relevant experience (internships, academic projects, or early career roles)

PHYSICAL REQUIREMENTS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

#LIBD1


Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job.


OUR VALUES

Service - We lead with heart. We champion community.

Passion - We love what we do. It fuels our purpose.

Integrity - We do what we promise. We own our actions and decisions.

Respect - We earn it by giving it. Because everyone deserves it.

Innovation - We never stop striving to be better. For ourselves and our community.

Transparency - We are committed to openness and honesty in everything we do.


OUR BENEFITS

We are committed to putting you and your families first. For benefits eligible roles, we offer a variety of choices and costs as well as program enhancements that align with our responsibility to elevate the employee experience. Some of our offerings include:

  • Comprehensive Health Care Benefits
  • HSA Employer Contribution/ FSA Opportunities
  • Wellbeing Program
  • 401(k) plan with company matching
  • Company paid Life, AD&D, and Short-Term Disability
  • Generous My Time Off & Paid Holidays
  • Varsity Brands Ownership Program
  • Employee Resource Groups
  • Access to Financial Coaching and member-owned Credit Union
  • St. Jude Partnership & Volunteer Opportunities
  • Employee Perks including discounts on personal apparel and equipment!


Varsity Brands companies are equal opportunity employers. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, gender, sexual orientation, gender identity, veteran's status, age or disability.