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Fresh Graduate Software Engineer Jobs in New Jersey

Software Engineer III (US)

Mount Laurel, NJ ยท On-site

$98K - $159K/yr

Line of Business: Technology Solutions The Software Engineer III leads the creation of ... Graduate degree nice to have * 5-7 years relevant experience Customer Accountabilities: * Executes ...

Software Engineer III (US)

Mount Laurel, NJ ยท On-site

$98K - $159K/yr

Line of Business: Technology Solutions The Software Engineer III leads the creation of ... Graduate degree nice to have * 5-7 years relevant experience Customer Accountabilities: * Executes ...

Software Engineer III (US)

Mount Laurel, NJ ยท On-site

$98K - $159K/yr

Line of Business: Technology Solutions The Software Engineer III leads the creation of ... Graduate degree nice to have * 5-7 years relevant experience Preferred Qualifications: * At least ...

... professionals brings fresh perspective to help clients anticipate disruption, reimagine the ... Recruiting for this role ends on 9/11/2026 Work You'll Do As a Lead Agentic Software Engineer II, ...

In particular, we are looking for a Graduate Civil Engineering Technician to contribute to our ... Proficiency with engineering CADD software, especially AutoCAD Civil 3D, is a plus! * Proficiency ...

In particular, we are looking for a Graduate Civil Engineering Technician to contribute to our ... Proficiency with engineering CADD software, especially AutoCAD Civil 3D, is a plus! * Proficiency ...

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Showing results 1-20

Fresh Graduate Software Engineer information

See New Jersey salary details

$64.5K

$149.8K

$208.6K

How much do fresh graduate software engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for fresh graduate software engineer in New Jersey is $149,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $175,600.00 per year, depending on experience, location, and employer.

What is a fresh graduate software engineer?

A Fresh Graduate Software Engineer is an entry-level role for recent graduates with a degree in computer science or a related field. They typically work on coding, testing, debugging, and collaborating with senior engineers to develop software solutions. This role helps new engineers gain hands-on experience with programming languages, development tools, and industry best practices. It often involves learning from mentors, contributing to real projects, and growing technical and problem-solving skills.

What types of projects or tasks can I expect to work on as a fresh graduate software engineer?

As a Fresh Graduate Software Engineer, you will typically start by assisting with code development, debugging, and testing under the guidance of senior engineers. Common tasks include contributing to software features, fixing bugs, reviewing code, and helping maintain documentation. You may work on real-world client projects or internal tools, depending on the company's focus, and regularly participate in team meetings and code reviews. This hands-on experience helps you develop practical skills, understand software development cycles, and build a foundation for future career growth.

What are the key skills and qualifications needed to thrive as a fresh graduate software engineer?

To thrive as a Fresh Graduate Software Engineer, you need a solid understanding of programming languages (such as Java, Python, or C++), problem-solving abilities, and a relevant degree in computer science or a related field. Familiarity with version control systems like Git, experience with integrated development environments (IDEs), and internships or personal projects are highly valued. Strong communication, a willingness to learn, and teamwork skills help new engineers adapt quickly and contribute to projects. These skills collectively enable new graduates to tackle technical challenges, grow professionally, and integrate smoothly into collaborative development environments.

What are the most commonly searched types of Fresh Graduate Software Engineer jobs in New Jersey?

The most popular types of Fresh Graduate Software Engineer jobs in New Jersey are:

What are popular job titles related to Fresh Graduate Software Engineer jobs in New Jersey?

For Fresh Graduate Software Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Fresh Graduate Software Engineer jobs in New Jersey look for?

The top searched job categories for Fresh Graduate Software Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Fresh Graduate Software Engineer jobs?

Cities in New Jersey with the most Fresh Graduate Software Engineer job openings:

Infographic showing various Fresh Graduate Software Engineer job openings in New Jersey as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $149,771 per year, or $72 per hour.

Software Engineer Supervisor (System Admin)

Jersey City, NJ โ€ข On-site, Remote

Full-time

PTO

Re-posted 9 days ago


Job description

Description
HR1Systems is seeking a Software Engineer Supervisor (Systems Administrator) specializing in managing SaaS platforms, Machine Learning and AI to join our innovative team. We are looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile app technologies.
As a software engineer supervisor, you will work on specific projects critical to HR1Systems' needs with opportunities to switch teams and projects due to our fast-paced business growth. We need our engineers to be versatile, display leadership qualities, and be enthusiastic about taking on new problems across the full stack as we continue to push technology forward. You will be managing a team of junior software engineers and data analysts.
Primary/Essential Duties and Key Responsibilities:
  • Design and Develop Scalable Software Solutions: Bring fresh ideas from various areas to address complex challenges in HR technology.
  • Develop and Implement Models: Design and build machine learning models and algorithms to address complex problems.
  • Machine Learning and AI Development: Design and implement machine learning algorithms and AI-driven solutions, including deep learning and natural language processing.
  • Full-Stack Development: Work across the full technology stack, from backend services to front-end user interfaces, ensuring seamless integration and performance.
  • Collaboration: Work closely with cross-functional teams, including data analysts, project managers, and other engineers, to integrate AI solutions into our products and improve standard operating procedures.
  • Leadership: Display leadership qualities by mentoring junior team members and leading projects.
  • Research and Innovation: Stay current with AI and software engineering research, applying new techniques to enhance existing systems.
  • Code Quality and Review: Maintain high-quality, maintainable code, and participate in code reviews.
  • Data Analysis: Analyze large datasets to extract insights and optimize model performance.
  • Deploy Solutions: Deploy machine learning models and ensure their performance aligns with business needs.
  • Document and Review: Maintain clear documentation of processes and participate in code reviews to ensure high-quality, maintainable code.
  • Project Manager: Manage project, scheduling, client interfacing, deadlines, risk assessments, etc.
  • Supervisor: Manage a team of software engineers and data analysts.

Benefits:
  • Paid Time Off
  • Bonus
  • Paid USA Holidays
  • Flexible Hours (standard 8am-5pm EST)
  • Remote Work
  • Annual International Company Retreats
  • Health and Wellness Programs

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At HR1System, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 70,000 to $ 100,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Requirements
Education:
  • Master's degree or PhD in Software Engineering, Computer Science, or a related technical field.

Experience:
  • 5+ years of experience in software development and with data structures/algorithms.
  • 2-5+ years of managing a team
  • 5+ years of experience testing and launching software products.
  • 5+ years of experience with software design and architecture.
  • 5+ years of experience with machine learning algorithms, artificial intelligence, deep learning, or natural language processing.
  • 5+ years of project management experience

Technical Skills:
  • Strong proficiency in R and Python, with a deep understanding of data manipulation, analysis, and machine learning workflows.
  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure for deploying ML models.
  • Experience with SQL and NoSQL databases for storing and retrieving large datasets.
  • Knowledge of Docker and Kubernetes for containerization and orchestration.
  • Experience with Git, version control, and experiment tracking tools (e.g., MLflow, DVC).

Skills:
  • Strong leadership skills and a desire to teach and educate a team.
  • Strong understanding of software development lifecycle and agile methodologies.
  • Excellent problem-solving skills and the ability to communicate complex ideas effectively.
  • Versatility in working across different technologies and a willingness to learn new tools and languages as needed.
  • Ability to work independently and collaboratively in a remote, fast-paced environment.