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Rust Programming Jobs in Raleigh, NC (NOW HIRING)

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$43.3K

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How much do rust programming jobs pay per year?

As of May 31, 2026, the average yearly pay for rust programming in Raleigh, NC is $68,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $86,000.00 per year, depending on experience, location, and employer.

What is a Rust Programming job?

A Rust Programming job involves designing, developing, and maintaining software applications using the Rust programming language. Rust is known for its performance, memory safety, and concurrency features, making it popular for systems programming, web services, and embedded systems. Developers in this role typically work on optimizing performance, ensuring code safety, and integrating Rust with other technologies. Experience with Rust’s ownership model, concurrency features, and ecosystem tools like Cargo is often required.

What are the key skills and qualifications needed to thrive in the Rust Programming position, and why are they important?

Excelling in Rust Programming requires strong programming skills in Rust, understanding of systems programming concepts, and experience with memory management and concurrency. Familiarity with version control tools like Git, issue tracking systems, CI/CD pipelines, and optionally, certifications such as the Rust Programming Certificate, are often valuable. Problem-solving ability, collaboration, and clear communication are essential soft skills for success in team-based development environments. These skills and qualifications are vital because they ensure code safety, performance, and contribute to efficient, high-quality software development.

What are some typical challenges faced by professionals working in Rust Programming roles?

Professionals in Rust Programming roles often encounter challenges such as mastering the language's strict ownership and borrowing rules, which require a deep understanding of memory safety concepts. Additionally, working with complex, performance-critical systems demands close attention to detail and rigorous testing practices. Collaboration with team members, especially when integrating Rust code with projects in other languages or legacy systems, also presents opportunities for problem-solving. Over time, these challenges help developers build robust, scalable solutions and deepen their expertise in cutting-edge systems programming.
More about Rust Programming jobs
What are the most commonly searched types of Rust Programming jobs in Raleigh, NC? The most popular types of Rust Programming jobs in Raleigh, NC are:
What are popular job titles related to Rust Programming jobs in Raleigh, NC? For Rust Programming jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Rust Programming jobs in Raleigh, NC look for? The top searched job categories for Rust Programming jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Rust Programming jobs? Cities near Raleigh, NC with the most Rust Programming job openings:
Rust Programming jobs near you
Infographic showing various Rust Programming job openings in Raleigh, NC as of May 2026, with employment types broken down into 100% Full Time. Highlights an 40% In-person, and 60% Remote job distribution, with an average salary of $68,879 per year, or $33.1 per hour.

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

LexisNexis

Raleigh, NC • On-site

$118.30K - $219.80K/yr

Full-time

Posted 10 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

148th of 425 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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