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Entry Level Computer Engineer Jobs in Georgia (NOW HIRING)

Coweta County

Entry Level Civil Engineer

Newnan, GA · On-site

$55K - $63K/yr

... computer aided design software; ability to communicate complete ideas effectively, orally and in writing; ability to calculate complex cost reports; ability to establish and maintain effective ...

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Entry Level Computer Engineer information

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$25.3K

$58.6K

$99.6K

How much do entry level computer engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level computer engineer in Georgia is $58,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $66,300.00 per year, depending on experience, location, and employer.

What does an entry level computer engineer do?

As an entry-level computer engineer, your job is to help code and test hardware and software for your company. In this role, you may evaluate system requirements, make recommendations about computer purchases, and respond to technical support requests throughout the company. Entry-level computer engineers often focus on learning more about the unique operating environment of their employer, including any unique hardware or software the company uses. Senior computer employers often supervise your work, especially at companies that use this job as an extended training position. Other details of this job vary by company. For example, some computer engineers focus on cloud systems, while others help install new workstations.

What are some typical projects or tasks an entry level computer engineer can expect to work on in their first year?

As an entry level computer engineer, you'll likely be involved in supporting more senior engineers with tasks such as debugging hardware or software, conducting system tests, writing and maintaining code, and assisting with documentation. You may also help design and prototype circuit boards, work on firmware updates, or contribute to integration projects. Collaborative work is common, so expect to participate in team meetings and cross-functional projects, which is a great opportunity to learn from experienced colleagues and understand the broader workflow of product development.

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

To thrive as an Entry Level Computer Engineer, you need a solid understanding of computer hardware, software fundamentals, and programming languages like C++ or Python, typically supported by a bachelor’s degree in computer engineering or a related field. Familiarity with development environments, version control systems (such as Git), and basic circuit design tools is commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork set exceptional candidates apart. These skills enable engineers to efficiently develop, troubleshoot, and collaborate on technology solutions in dynamic, innovation-driven environments.

What is the difference between Entry Level Computer Engineer vs Entry Level Software Developer?

AspectEntry Level Computer EngineerEntry Level Software Developer
Required CredentialsBachelor's in Computer Engineering, certifications like Cisco or CompTIABachelor's in Computer Science or Software Engineering, certifications like Microsoft or AWS
Work EnvironmentHardware labs, manufacturing facilities, R&D departmentsOffice settings, coding environments, software development teams
Employer & Industry UsageTech companies, manufacturing, telecommunicationsSoftware firms, tech startups, IT departments
Common Search & ComparisonOften compared for entry-level roles in tech hardware and systemsCommonly compared for software development careers

Entry Level Computer Engineers typically focus on hardware, embedded systems, and system integration, working in environments that involve physical components. In contrast, Entry Level Software Developers primarily work on coding, software applications, and programming tasks. Both roles require a bachelor's degree and relevant certifications, but their work environments and industry focus differ significantly.

More about Entry Level Computer Engineer jobs

What are the most commonly searched types of Computer Engineer jobs in Georgia?

The most popular types of Computer Engineer jobs in Georgia are:

What are popular job titles related to Entry Level Computer Engineer jobs in Georgia?

For Entry Level Computer Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Engineer jobs in Georgia look for?

The top searched job categories for Entry Level Computer Engineer jobs in Georgia are:

What cities in Georgia are hiring for Entry Level Computer Engineer jobs?

Cities in Georgia with the most Entry Level Computer Engineer job openings:

Entry Level Computer Engineer jobs near you
Infographic showing various Entry Level Computer Engineer job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $58,568 per year, or $28.2 per hour.

Computer Programmer AI and ML

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 hours ago

Job description

Overview:
Technologies are evolving at a rapid pace, with innovation being driven by advancements in technology itself. Today, information technology is at a crossroads, poised to reach unprecedented levels, as evidenced by substantial investments from large companies amounting to billions of dollars. R2 Technologies is aligning with this change by forming a team dedicated to training professionals from basic to advanced levels.
Do you have a passion for integrating AI and deep learning into the next generation of software development? Do you want to be part of our journey? R2 Technologies is currently seeking motivated, career-oriented, and client-focused Software Engineers specializing in AI and data science. The ideal candidates will have a strong ability to identify and communicate patterns in data and model behavior. In this role, you may collaborate with multiple teams and technologies (machine learning, quality assurance, cloud infrastructure support, user studies) to improve algorithm quality and guide feature development with a data-driven approach, delivering outstanding computer experiences.
Led by Dr. Raju Manthena, CEO of R2 Technologies, we are building a team to provide customers with the most innovative technology services as efficiently as possible. Our core technology prototypes will feature customizable algorithms designed to meet the needs of various industries, including medical, clinical, pharmaceutical, financial, and insurance sectors.
Required Knowledge, Skills and Abilities
  • Ability to lean and write code in SQL, R, or Python for processing large datasets in distributed cloud environments, and learn and adapt in processing and analyzing healthcare data.
  • learn and practice developing, evaluating, and implementing machine learning models.
  • learn and practice in working with clients across disciplines to develop approaches for use in their business core.
  • learn and practice in working in cloud environments .
  • Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics.
  • Knowledge of software development, machine learning, and technology infrastructure
  • Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks.

Responsibilities include but are not limited to:
  • Research and evaluate emerging AI, data science, and related technologies, such as Generative AI, technical tools and approaches for responsible and trustworthy AI, Quantum, Image Compression and Recall, and Self Supervised Learning.
  • Stay current on published state-of-the-art data science, AI, and analytics methods and applications and seek out opportunities to apply them against client use cases.
  • Develop statistical and advanced analytics models using advanced analytic techniques such as Natural Language Processing, Graph Analytics, Computer Vision, modeling and simulation, Operations Research, anomaly detection, data visualization and metrics creation.
  • Direct and actively contribute to proof-of-concept studies and research prototypes, including creating prototypes to implement data models.
  • Perform knowledge elicitation from client business problems and understanding and convert that to derived algorithms, and lead and guide teams in this knowledge elicitation process.
  • Apply design thinking or other solution-based methods to solve problems consisting of various qualitative activities that support the generation of insightful, human-centered and impactful design solutions.
  • Identify AI challenges in non-AI projects to enhance the capabilities of data scientists by automating repetitive tasks, uncovering patterns, and providing advanced analytics and predictive modeling techniques.
  • Translate technical requirements to agile tasks to prioritize models and data according to the goals and requirements of the client.
  • Perform solution development through white boarding sessions - Algorithmic problems, data manipulation tasks, or other technical challenges related to data science.
  • Communicate findings to diverse technical and non-technical stakeholders, and engage clients to distill complex technical language. Communicate these findings in language and forms appropriate for the full spectrum of technical background and focus, from end users through executive decision makers.
  • Lead and mentor entry-level, mid-level, and senior level practitioners of AI and data science.
  • Shape Internal Research & Development (IRAD) directions in AI, data science, and related scientific areas. Ensure that these directions are aligned with the practice strategy and client needs.
  • Represent ManTech's data and AI practice in the broader community. Example activities include conference participation, formal or information publications, and speaking at client events.

Qualifications:
• Bachelor's degree in computer science, Engineering, or related field. Good to have Master and or Ph.D.
What we offer : The best in the industry -
  1. Medical insurance
  2. Dental
  3. Vision
  4. Life Insurance
  5. 401K with employer contribution
  6. Paid vacation
  7. Immigration sponsorship for those who requires it - (H1 B and Green cord)
  8. Career guidance
  9. Employee referral bonus
  10. Project based - performance allowances.

Skills:
SQL, Spark, and Python,AI,ML

Apply