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Rust Software Jobs in Raleigh, NC (NOW HIRING)

Apple

AIML - Staff Machine Learning Engineer

Cary, NC

$212K - $386.30K/yr

... Rust, C++, or similar also acceptable) Experience building machine learning based systems Mobile and / or embedded development experience Minimum Qualifications 8 years of professional software ...

NetApp

Distinguished Engineer

Morrisville, NC

... software systems. * Experience building fully automated testing frameworks from code check-in to deployment. * Proficient in at least one modern programming language such as Rust, GoLang or Java.

Percona

Developer Advocate (Remote)

Raleigh, NC · Remote

Powerful software is rarely simple, though, and that gap is where developers get stuck. We're ... Comfortable in at least one of Python, Go, JavaScript/TypeScript, Java, or Rust. Enough to write ...

Hoffman & Hoffman Inc

Welder Pipe Fitter

Raleigh, NC · On-site

$24.25 - $30/hr

Perform regular system check-ups to ensure pipes are free from rust, blockages, or damages ... Operational knowledge of computers and Microsoft Office software preferred. * Ability to read ...

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How much do rust software jobs pay per hour?

As of May 31, 2026, the average hourly pay for rust software in Raleigh, NC is $51.69, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $58.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Rust Software Developer, and why are they important?

To thrive as a Rust Software Developer, you need a solid background in systems programming, memory management, and proficiency in Rust, often supported by a degree in computer science or related experience. Familiarity with version control systems like Git, build tools such as Cargo, and experience with cross-platform development are typically required. Strong problem-solving skills, attention to detail, and effective communication set outstanding candidates apart. These abilities are essential for building safe, efficient, and reliable software in demanding technical environments.

What are some common challenges faced by Rust Software Developers when working on large-scale projects?

Rust Software Developers often encounter challenges related to managing complex codebases, especially as projects scale. The language's strict ownership and borrowing rules, while beneficial for safety and concurrency, can make refactoring and integrating with legacy systems more time-consuming. Additionally, since Rust is still a relatively new language, developers may face limited library support or community resources for certain specialized tasks. Collaborating closely with teammates and leveraging thorough documentation helps to streamline workflows and overcome these hurdles.

What is a Rust Software Developer?

A Rust Software Developer is a programmer who specializes in using the Rust programming language to build software applications. Rust is known for its focus on safety, speed, and concurrency, making it popular for systems programming, web services, and performance-critical tasks. Rust Software Developers may work on a variety of projects, from operating systems and embedded devices to backend web servers and command-line tools. Their responsibilities include writing, testing, and maintaining code, as well as collaborating with other developers to design robust and efficient systems.

What is the difference between Rust Software vs C++ Developer?

AspectRust SoftwareC++ Developer
Required CredentialsBachelor's in Computer Science, Rust certifications (optional)Bachelor's in Computer Science, C++ certifications (optional)
Work EnvironmentTech companies, startups, embedded systemsSoftware firms, game development, embedded systems
Industry UsageEmerging in systems programming, web assembly, safety-critical appsWidely used in software, gaming, systems, and embedded development
Search & Comparison IntentUnderstanding Rust's role vs C++ in development

Rust Software developers focus on safe, concurrent programming using Rust, often in modern systems and web assembly projects. C++ Developers work primarily with performance-critical applications across various industries. While both roles require programming expertise, Rust emphasizes safety and modern syntax, whereas C++ is known for its performance and legacy codebases.

What are popular job titles related to Rust Software jobs in Raleigh, NC? For Rust Software jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Rust Software jobs in Raleigh, NC look for? The top searched job categories for Rust Software jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Rust Software jobs? Cities near Raleigh, NC with the most Rust Software job openings:
Rust Software jobs near you

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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