2

Entry Level Google Software Engineer Jobs in Raleigh, NC

... an Entry-level Geotechnical Engineer for geotechnical engineering work to be based in our Durham ... Strong knowledge of Microsoft Office software (Word, Excel, PowerPoint, Access) * Working knowledge ...

... success! Entry Level Position: College Graduate - 2 years experience RoviSys offers a broad ... Design and implement industry software applications to aggregate manufacturing systems information ...

Responsibilities Entry Level Position: College Graduate - 2 years experience RoviSys offers a broad ... Design and implement industry software applications to aggregate manufacturing systems information ...

Associate

Apex, NC · On-site

$70K - $75K/yr

As an Associate Software Engineer/Developer, you will be responsible for designing, implementing ... Strong written and verbal communication skills * Entry-level working knowledge and skill with ...

Responsibilities Entry Level Position: College Graduate - 2 years experience RoviSys offers a broad ... Design and implement industry software applications to aggregate manufacturing systems information ...

Cloud Engineer III

Raleigh, NC · On-site

$54.25 - $72.50/hr

You will work with software engineers, hardware engineers, data scientists & security to help them ... Hands on experience in Google Cloud Platform. * Certified Kubernetes Administrator with deep ...

Microsoft Azure Fundamentals, Google Associate Cloud Engineer, Amazon Web Services (AWS), Com ... with Cloud Software Group and the country where you work. U.S. based employees are typically ...

next page

Showing results 1-20

Entry Level Google Software Engineer information

See Raleigh, NC salary details

$23.3K

$101.9K

$183.7K

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

As of Jul 8, 2026, the average yearly pay for entry level google 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 the entry level pay for Google software engineers?

Entry-level Google software engineers typically earn a base salary ranging from $100,000 to $130,000 per year, depending on location, education, and experience. In addition to salary, they often receive bonuses, stock options, and benefits, making the total compensation package higher.

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

AspectEntry Level Google Software EngineerEntry Level Software Developer
Required CredentialsBachelor's in CS or related field, coding skills, Google-specific interview prepBachelor's in CS or related field, coding skills, general industry experience
Work EnvironmentLarge tech company, collaborative teams, innovative projectsVaries from startups to large companies, project-based work, diverse teams
Employer & Industry UsagePrimarily in tech giants like Google, focused on software engineering rolesAcross tech companies, startups, and other industries requiring software development

While both roles involve coding and software development, an Entry Level Google Software Engineer typically works at Google with a focus on large-scale projects and specific interview processes. An Entry Level Software Developer may work in various companies and industries, with a broader range of project types and company sizes.

What engineer makes $500,000 a year?

Highly experienced software engineers at top tech companies like Google can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires advanced skills, significant experience, and roles in senior or specialized positions such as Staff Engineer or Principal Engineer.

Can I get a job with Google with no experience?

Entry-level software engineering roles at Google typically require some programming skills, problem-solving ability, and familiarity with data structures and algorithms. While prior work experience is not always necessary, candidates often demonstrate relevant coursework, personal projects, or internships to qualify for such positions.

Is Google L3 entry level?

Google L3, which is typically the Software Engineer II level, is considered an entry-level position for candidates with a few years of experience or strong internships. It is not the most junior role but is often the starting point for new college graduates or those transitioning into software engineering at Google. L3 roles usually require proficiency in coding, algorithms, and data structures, and may involve working on significant projects with mentorship.
What are the most commonly searched types of Google Software Engineer jobs in Raleigh, NC? The most popular types of Google Software Engineer jobs in Raleigh, NC are:
Infographic showing various Entry Level Google 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***

RELX Group plc

Raleigh, NC • On-site

$118K - $219K/yr

Full-time

Re-posted 17 days ago


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.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here
Please read our Candidate Privacy Policy.
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.
USA Job Seekers:
EEO Know Your Rights.