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Full Time Entry Level Software Engineer Jobs in Raleigh, NC

Renesas Electronics

Analog Engineer

Morrisville, NC · Hybrid

$189K/yr

Entry Level - Electrical Engineering or related field. Bachelor's degree with up to 2 years of ... States on a full-time basis. Renesas is unable to sponsor applicants for work visas for this ...

Renesas Electronics

Analog Engineer

Morrisville, NC · On-site

$189K/yr

Company Description Entry Level - Electrical Engineering or related field. Bachelor's degree with ... States on a full-time basis. Renesas is unable to sponsor applicants for work visas for this ...

KBI Biopharma, Inc.

Network Engineer 2

Durham, NC · On-site

TRAVEL: 10% domestic travel required HOURS: Full Time/40 hours JOB DUTIES: Design, implement, and ... Install, support, and maintain hardware and software infrastructure including Cisco routers and ...

KBI Biopharma, Inc.

Network Engineer 2

Durham, NC · On-site

TRAVEL: 10% domestic travel required HOURS: Full Time/40 hours JOB DUTIES: Design, implement, and ... Install, support, and maintain hardware and software infrastructure including Cisco routers and ...

Delta Oaks Group

Geotechnical Engineer I

Raleigh, NC · On-site

... software is a plus Required Experience and Supplementary Skills This is an entry-level position ... However, some engineering experience is preferred. Candidate should possess technical verbal ...

Hitachi, Ltd.

Service Engineer

Raleigh, NC · On-site

Engineering & Science Job Schedule: Full time Remote: No THE OPPORTUNITY As a Service Engineer ... You will work across hardware, software, networking, and control systems to support services tied ...

Hitachi

Service Engineer

Raleigh, NC

Engineering & Science Job Schedule: Full time Remote: No THE OPPORTUNITY As a Service Engineer ... You will work across hardware, software, networking, and control systems to support services tied ...

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Full Time Entry Level Software Engineer information

See Raleigh, NC salary details

$23.3K

$101.9K

$183.7K

How much do full time entry level software engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for full time entry level software engineer in Raleigh, NC is $101,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $116,600.00 per year, depending on experience, location, and employer.

What is L1, L2, L3, and L4 developer?

In the context of a full-time entry-level software engineer role, L1, L2, L3, and L4 typically refer to different levels of seniority or experience within a company's engineering hierarchy. L1 is usually an entry-level position, L2 and L3 denote increasing levels of experience and responsibility, and L4 often indicates a more senior or specialized engineer. These levels can influence salary, expectations, and opportunities for growth, and they often correspond to skills such as coding, debugging, and understanding system architecture.

What are the key skills and qualifications needed to thrive as a Full Time Entry Level Software Engineer, and why are they important?

To thrive as a Full Time Entry Level Software Engineer, you need a solid grasp of programming fundamentals, problem-solving abilities, and a relevant degree in computer science or a related field. Familiarity with coding languages (such as Java, Python, or C++), version control systems like Git, and basic software development tools is typically expected. Strong communication, teamwork, and a willingness to learn help new engineers adapt quickly and contribute effectively. These skills and qualities are crucial for building reliable software, integrating into development teams, and navigating the fast-paced tech environment.

What does a Full Time Entry Level Software Engineer do?

A Full Time Entry Level Software Engineer is responsible for developing, testing, and maintaining software applications under the guidance of more experienced engineers. They typically work with programming languages, collaborate with team members, and assist in troubleshooting issues in code. This role is designed for individuals who are new to the industry and allows them to learn best practices, gain hands-on experience, and build their technical skills in a professional environment.

How do I get into software engineering with no experience?

To become a full-time entry-level software engineer with no experience, focus on learning programming languages like Python or Java through online courses or coding bootcamps. Building a portfolio of projects, contributing to open-source, and gaining familiarity with tools like Git can help demonstrate your skills to employers. Internships or apprenticeships can also provide practical experience and improve job prospects.

What are some common challenges faced by entry level software engineers in their first full-time role, and how can they overcome them?

Entry level software engineers often face challenges such as adapting to new codebases, navigating complex development tools, and understanding team workflows. It's common to feel overwhelmed initially, but seeking mentorship, proactively asking questions, and participating in code reviews can help accelerate learning. Collaborating closely with teammates and engaging in regular feedback sessions will not only build technical skills but also improve communication and confidence. Embracing a growth mindset and being patient with your progress are key to a smooth transition.

Is it true that AI will replace software engineers?

AI is increasingly automating certain coding tasks, but full replacement of software engineers is unlikely in the near term. Entry-level software engineers will continue to be essential for designing, testing, and maintaining complex systems that require human judgment and creativity. Developing skills in AI tools and programming languages can enhance job prospects in this evolving field.

What engineer makes $500,000 a year?

While most entry-level software engineers do not earn that level of salary, highly experienced software engineers in senior or specialized roles at large tech companies can reach or exceed $500,000 annually, especially when including bonuses, stock options, and other compensation. These roles often require advanced skills, extensive experience, and work in high-demand environments such as cloud computing, machine learning, or cybersecurity.
What are the most commonly searched types of Full Time Software Engineer jobs in Raleigh, NC? The most popular types of Full Time Software Engineer jobs in Raleigh, NC are:
What are popular job titles related to Full Time Entry Level Software Engineer jobs in Raleigh, NC? For Full Time Entry Level Software Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Full Time Entry Level Software Engineer jobs in Raleigh, NC look for? The top searched job categories for Full Time Entry Level Software Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Full Time Entry Level Software Engineer jobs? Cities near Raleigh, NC with the most Full Time Entry Level Software Engineer job openings:
Full Time Entry Level Software Engineer jobs near you
Infographic showing various Full Time Entry Level Software Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,935 per year, or $49 per hour.
Senior Machine Learning Engineer III ***Raleigh, NC***

Senior Machine Learning Engineer III ***Raleigh, NC***

LexisNexis

Raleigh, NC • On-site

$118K - $219K/yr

Full-time

Re-posted 18 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

155th of 441 rated business services

Job description

Are you looking to develop your Machine Learning Engineer career?
Do you enjoy coaching others to achieve high standards?
This is a full-time position based in Raleigh, NC.
(Hybrid - 3 days in office)
About the Role
We are seeking a Consultant-level Machine Learning Engineer to lead the implementation and scaling of AI systems for legal products. This role focuses on how to build and scale-owning system architecture, infrastructure, and productionization of ML/LLM solutions.
You will partner with Data Scientists to turn validated models and prototypes into reliable, high-performance, customer-facing systems.
Key Responsibilities
  • Architect and implement scalable ML/LLM systems in production.
  • Build and deploy LLM applications, including RAG pipelines and agentic systems.
  • Implement hybrid search systems (semantic + lexical) using embeddings and search platforms.
  • Develop and maintain APIs, microservices, and model serving infrastructure.
  • Build data pipelines and streaming systems for large-scale data processing.
  • Define and develop reusable frameworks, libraries, and infrastructure for AI/ML across teams.
  • Optimize systems for latency, scalability, reliability, and cost efficiency.
  • Establish best practices for deployment, monitoring, observability, and CI/CD.
  • Collaborate with Data Scientists to productionize models and integrate into products.
  • Provide technical leadership in system design and engineering standards.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Strong experience implementing and scaling production ML/LLM systems.
  • Deep experience with LLM application development, including RAG and prompt orchestration.
  • Strong experience designing and implementing agentic systems using agent frameworks (e.g., LangChain, LangGraph, AutoGen, Google ADK), including orchestration of multi-step workflows in production environments.
  • Strong experience with hybrid search (semantic + lexical), embeddings, and search platforms (e.g., Solr, OpenSearch).
  • Expertise in distributed systems and cloud-native development, including AWS (S3, DynamoDB).
  • Experience with streaming and messaging systems (e.g., Kafka, SQS) and caching (e.g., Redis).
  • Proficiency in Python and experience with systems languages (e.g., Rust, Go, Scala).
  • Experience building scalable APIs (REST/GraphQL).
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Strong software engineering fundamentals (system design, testing, CI/CD).

Preferred Qualifications
  • Experience with LLM platforms (e.g., ChatGPT/OpenAI, Claude, Gemini, LangChain, Google ADK).
  • Experience with DevOps and infrastructure as code (e.g., Terraform, CloudFormation, Jenkins).
  • Experience with big data technologies (e.g., Spark, Hadoop).
  • Familiarity with graph databases (e.g., Dgraph, Neo4j, Neptune).
  • Experience building high-availability, low-latency systems.
  • Experience in legal or regulatory domains.

Key Competencies
  • Strong system architecture and scalability mindset.
  • Ownership of implementation, performance, and reliability.
  • Ability to translate data science solutions into production systems.
  • Cross-functional collaboration with DS, product, and platform teams.
  • Excellent debugging, optimization, and operational skills.
  • Clear communication of technical designs and trade-offs.

#AIFluent
U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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