1

New Graduate Software Jobs in Atlanta, GA (NOW HIRING)

... models in software. Emphasizes theoretical foundations and connects advanced statistics to ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Graduate Position Description: Are you driven by technology's ability to transform how businesses ... new tools, frameworks, and technologies quickly • Strong analytical thinking paired with clear ...

A soon-to-be or recent graduate (class of 2024 or 2025 preferred) with a degree in Computer Science ... Excitement for being part of a small, fast-moving team where every day brings new challenges and ...

Showing results 21-40

New Graduate Software information

See Atlanta, GA salary details

$28.4K

$96.4K

$232.2K

How much do new graduate software jobs pay per year?

As of Sep 5, 2026, the average yearly pay for new graduate software in Atlanta, GA is $96,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $101,900.00 per year, depending on experience, location, and employer.

What does a new graduate software engineer do?

New Graduate Software Engineers are entry-level professionals who have recently completed their degree in computer science or a related field. They work as part of a development team to design, code, test, and maintain software applications. These engineers often receive mentorship and training on company-specific technologies, tools, and best practices. Their responsibilities may include fixing bugs, writing new features, and collaborating with other engineers to solve technical challenges.

What skills and qualifications are needed to thrive as a new graduate software engineer?

To thrive as a New Graduate Software Engineer, you need a solid understanding of programming languages (such as Java, Python, or C++), software development principles, and a relevant degree in computer science or a related field. Familiarity with version control systems (like Git), integrated development environments (IDEs), and sometimes foundational knowledge of cloud platforms or databases is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help new graduates adapt quickly and collaborate with teams. These skills are crucial for building reliable software, keeping up with evolving technologies, and integrating smoothly into professional development environments.

What are common challenges new graduate software engineers face during their first year, and how can they overcome them?

New graduate software engineers often find the transition from academia to the workplace challenging due to unfamiliar codebases, fast-paced environments, and adapting to industry tools and processes. It's common to initially feel overwhelmed when collaborating with experienced teammates or working on large-scale projects. To overcome these challenges, proactive communication, seeking mentorship, and dedicating time to understanding documentation and code reviews are key. Embracing a growth mindset and asking questions will also help accelerate your learning and integration into the team.

What is the difference between New Graduate Software vs Software Engineer?

AspectNew Graduate SoftwareSoftware Engineer
Required CredentialsBachelor's degree in CS or related field, internship experienceBachelor's or higher in CS, often with 1+ years of experience
Work EnvironmentEntry-level, training-focused, team collaborationFull responsibilities, project ownership, team-based
Employer & Industry UsageCommon for recent grads entering tech companiesStandard role across tech, finance, healthcare, etc.
Search & Comparison IntentLooking for entry-level roles, internships, or training programsSeeking experienced roles, career growth, or specialization

In summary, New Graduate Software positions are designed for recent graduates starting their careers, focusing on training and learning. Software Engineer roles typically require more experience and involve full project responsibilities. Both roles are common in tech industries but differ mainly in experience level and scope of work.

What are popular job titles related to New Graduate Software jobs in Atlanta, GA?

For New Graduate Software jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching New Graduate Software jobs in Atlanta, GA look for?

The top searched job categories for New Graduate Software jobs in Atlanta, GA are:

Infographic showing various New Graduate Software job openings in Atlanta, GA as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $96,421 per year, or $46.4 per hour.

Software Engineer, AI/Machine Learning, PhD, Early Career, 2027 Start

Google Inc.

Atlanta, GA • On-site

$147 - $210/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Software Engineer, AI/Machine Learning, PhD, Early Career, 2027 Start Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

info_outline X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Kirkland, WA, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Raleigh, NC, USA; Durham, NC, USA; San Bruno, CA, USA; Seattle, WA, USA.
  • PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field, or equivalent practical experience.

Experience in Machine Learning or Artificial Intelligence.

Preferred qualifications:
  • Research experience in designing, developing, or applying ML/AI systems or applications in a large-scale distributed environment.
  • Experience in designing, training, or refining complex ML/AI models.
  • Experience in building a stack for an AI-powered application, including data ingestion and processing pipelines, building APIs, and connecting the model to a user-facing interface.
  • Familiarity with model architectures (CNNs, NLP Transformers, Diffusion/Vision Transformers).
  • Experience developing with Rust and modern deep learning frameworks such as PyTorch, JAX, or TensorFlow.
  • Availability to start in a full-time role in 2027.
About the job

Google's engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at a massive scale. You'll be at the forefront of innovation, developing systems and AI and Machine Learning solutions.

As a PhD graduate, your research expertise is invaluable to us. Explore a variety of projects, collaborate with various teams, and contribute to products that are changing the world, across many product areas, including AI & Infrastructure , Cloud , YouTube , Search , Ads and more!

Our engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance our systems and products. As a Google PhD Software Engineer, you will work on critical projects, with many opportunities to learn and follow your interests. We expect our engineers to be creative and versatile, leading and identifying new problems to push the field and Google technology forward.

Google offers you exciting opportunities as it is one of the world’s leading producers and consumers of ML and AI technology, with decades of experience in designing, deploying, and using ML software and custom ML hardware infrastructure at massive scale.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Google's engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at a massive scale. You'll be at the forefront of innovation, developing systems and AI and Machine Learning solutions.

As a PhD graduate, your research expertise is invaluable to us. Explore a variety of projects, collaborate with various teams, and contribute to products that are changing the world, across many product areas, including AI & Infrastructure , Cloud , YouTube , Search , Ads and more!

Our engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance our systems and products. As a Google PhD Software Engineer, you will work on critical projects, with many opportunities to learn and follow your interests. We expect our engineers to be creative and versatile, leading and identifying new problems to push the field and Google technology forward.

Google offers you exciting opportunities as it is one of the world’s leading producers and consumers of ML and AI technology, with decades of experience in designing, deploying, and using ML software and custom ML hardware infrastructure at massive scale.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google .

  • Collaborate or lead on team projects to carry out design, analysis, and development of advanced ML systems across the stack using your research expertise.
  • Support building end-to-end ML Systems that involves working across the full stack, from low-level hardware acceleration and compiler optimizations to high-level model architecture and production APIs, transforming your research expertise into robust, scalable products.
  • Optimize complex system performance by analyzing and fixing performance bottlenecks, memory inefficiencies, and errors in production systems to meet stringent customer goals.
  • Elevate engineering excellence by writing well-tested code, conducting code reviews and fostering a culture of quality by advocatingbest engineering practices.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

#J-18808-Ljbffr

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom