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Intelligent Systems Engineering Jobs in Raleigh, NC

Relay

Senior Deployment Systems Engineer

Raleigh, NC · Hybrid

$101.60K - $139K/yr

Relay is fixing the "Operational Black Hole" by providing an Intelligent System of Action (SOAR ... You are accountable for the seamless handover from Solutions Engineering, the strategic ...

Relay

Senior Deployment Systems Engineer

Raleigh, NC · On-site

$101.60K - $139K/yr

Relay is fixing the "Operational Black Hole" by providing an Intelligent System of Action (SOAR ... You are accountable for the seamless handover from Solutions Engineering, the strategic ...

DataAnnotation

Software Engineer Analyst

Raleigh, NC · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some ...

Teledyne

Research Scientist

Durham, NC

TSC's Intelligent Systems Laboratory in North Carolina is a state-of-the-art research and ... The laboratory currently is host to world-class scientists and engineers, with advanced degrees in ...

DataAnnotation

Software Engineer Analyst

Cary, NC · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some ...

Teledyne FLIR LLC

Research Scientist

Durham, NC · On-site

TSC's Intelligent Systems Laboratory in North Carolina is a state-of-the-art research and ... The laboratory currently is host to world-class scientists and engineers, with advanced degrees in ...

DataAnnotation

Software Engineer Analyst

Durham, NC · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some ...

Itron, Inc.

Staff System Test Engineer

Raleigh, NC · On-site

Working knowledge of test and results tracking tools such as Azure DevOps (ADS/TFS), Jira, or equivalent systems * Exposure to AI and intelligent agents, and their efficient application within ...

Itron, Inc.

Staff System Test Engineer

Raleigh, NC · Hybrid

Working knowledge of test and results tracking tools such as Azure DevOps (ADS/TFS), Jira, or equivalent systems * Exposure to AI and intelligent agents, and their efficient application within ...

Itron, Inc

Staff System Test Engineer

Raleigh, NC · Hybrid

Working knowledge of test and results tracking tools such as Azure DevOps (ADS/TFS), Jira, or equivalent systems * Exposure to AI and intelligent agents, and their efficient application within ...

Truist

Software Engineering Director II

Raleigh, NC

$245.90K/yr

... AI, & Intelligent Solutions. Leads one or more software engineering teams responsible for ... of systems engineering and administration and a basic understanding of other IT disciplines in ...

Pwc

GenAI Python Systems Engineer-Manager

Raleigh, NC

$99K - $232K/yr

... intelligent decision-making and automation. Enhancing your leadership style, you motivate, develop ... The Opportunity As part of the Data and Analytics Engineering team, you lead the development and ...

DataAnnotation

DevOps Engineer

Cary, NC · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some ...

RoviSys

Engineering Co-op - Fall 2026

Holly Springs, NC · On-site

$24/hr

Our engineers are intelligent, talented, enthusiastic teammates who use technology to provide ... Design and develop automation systems * Design and develop electrical control systems that will ...

RoviSys

Engineering Co-op - Fall 2026

Holly Springs, NC · On-site

$24/hr

Our engineers are intelligent, talented, enthusiastic teammates who use technology to provide ... Design and develop automation systems * Design and develop electrical control systems that will ...

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Intelligent Systems Engineering information

See Raleigh, NC salary details

$58.8K

$138.1K

$190.5K

How much do intelligent systems engineering jobs pay per year?

As of May 30, 2026, the average yearly pay for intelligent systems engineering in Raleigh, NC is $138,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $168,200.00 per year, depending on experience, location, and employer.

What is an Intelligent Systems Engineering job?

An Intelligent Systems Engineering job involves designing, developing, and optimizing smart systems that integrate AI, machine learning, and advanced computing. Professionals in this field work on applications such as autonomous systems, robotics, cybersecurity, and biomedical devices. They use data-driven approaches and computational models to enhance decision-making and automation. These roles exist in industries like healthcare, automotive, aerospace, and IoT.

What are the key skills and qualifications needed to thrive in the Intelligent Systems Engineering position, and why are they important?

Successful careers in Intelligent Systems Engineering require a strong background in computer science, control systems, mathematics, and often an advanced degree in engineering or a related field. Proficiency with programming languages (such as Python, C++, or MATLAB), experience with machine learning frameworks, and familiarity with embedded systems and sensor integration are typically expected. Strong analytical thinking, problem-solving skills, and effective collaboration are essential soft skills in this position. These competencies enable professionals to design, develop, and optimize complex intelligent systems that perform reliably in real-world applications.

What are the main challenges faced when working as an Intelligent Systems Engineer?

Intelligent Systems Engineers often encounter challenges such as integrating diverse hardware and software components, ensuring system reliability, and optimizing performance under real-world conditions. They must stay current with rapidly evolving technologies and continuously adapt their solutions to meet new requirements or constraints. Collaboration across multidisciplinary teams, including software developers, hardware engineers, and data scientists, is common and essential for project success. Tackling these challenges develops a well-rounded skill set and provides significant opportunities for professional growth and innovation.

Which companies hire Aiml engineers?

Many technology companies, including large firms like Google, Microsoft, Amazon, and Facebook, hire AI and Machine Learning (Aiml) engineers to develop intelligent systems, data models, and automation solutions. These roles often require knowledge of programming languages such as Python, experience with machine learning frameworks, and a strong background in data science or computer science.
More about Intelligent Systems Engineering jobs
What are the most commonly searched types of Intelligent Systems Engineering jobs in Raleigh, NC? The most popular types of Intelligent Systems Engineering jobs in Raleigh, NC are:
What are popular job titles related to Intelligent Systems Engineering jobs in Raleigh, NC? For Intelligent Systems Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Intelligent Systems Engineering jobs in Raleigh, NC look for? The top searched job categories for Intelligent Systems Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Intelligent Systems Engineering jobs? Cities near Raleigh, NC with the most Intelligent Systems Engineering job openings:
Intelligent Systems Engineering jobs near you
AI Software Engineer: Intelligent Data Infrastructure

AI Software Engineer: Intelligent Data Infrastructure

NetApp

Morrisville, NC • On-site

$107.10K - $128.60K/yr

Other

Medical, Life, Retirement, PTO

Posted 21 days ago

Job description

The Mission: Power the Next Generation of AI

We are standing at an inflection point. AI is transforming every industry, but beneath every breakthrough model lies a critical foundation that few see and even fewer master: the data infrastructure that makes intelligent systems possible. 

These positions require 3 days in office per week in one of the following offices: Boulder, CO or Pittsburgh, PA or Raleigh, NC or San Jose, CA.

The Office of the Chief Platform and Technology Officer is assembling an elite team of AI Infrastructure Engineers to build the future of intelligent data systems. We don't just store data-we architect the substrate that powers AI factories, from GPU clusters running training workloads to real-time inference pipelines serving billions of requests.

This is not a maintenance role. This is a creation role. You will design the systems that enable enterprises to deploy AI at an unprecedented scale, leveraging NetApp's new AI Data Engine (AIDE) and AFX disaggregated storage architecture. 

The Opportunity: Shape what comes next and oin us to solve challenges that exist at the absolute frontier of computer science.

  • Build AI-Native Infrastructure Lead the architecture of next-generation storage systems optimized for AI workloads. Design high-performance data pipelines for massive-scale model training, implement intelligent caching for KV stores, and optimize data planes for GPU clusters. Your work will directly accelerate how quickly organizations can move from data to deployed intelligence.
  • Pioneer Forward-Looking Research Work at the intersection of distributed systems, AI, and storage. Investigate novel approaches to scalable AI inferencing systems, semantic data discovery, and data curation systems. Turn proof-of-concepts into production systems that redefine industry standards.
  • Amplify Your Impact with AI We don't just build AI-we use it. Leverage Cursor, Claude Code, and emerging AI development tools to accelerate your workflow, automate repetitive tasks, and focus on solving problems that matter. You'll operate at the cutting edge of "vibe coding" while maintaining the rigor of production-grade engineering.
What You'll Bring

You are a generalist with depth-someone who moves fluidly between AI technologies and distributed system architectures, who gets energy from ambiguous problems, and who possesses what we call "fearless curiosity".

You thrive when: 

  • Ownership is total: You own problems end-to-end, from architecture to production operations, and take pride in systems that run flawlessly at scale  
  • Change is constant: You view rapid technological shifts as opportunities to add structure and clarity, not as obstacles  
  • Learning is relentless: You have a rich life of "side quests"-self-driven projects that demonstrate your curiosity beyond your day job.
  • AI is a multiplier: You view AI coding assistants and generative tools as force multipliers that let you tackle complexity that was previously impossible  

You bring: 

  • Deep systems expertise: Mastery of Golang, Python, and C/C++, with an intuitive understanding of file systems, advanced data structures, and algorithms. You understand that storage isn't just about bits on disk-it's about enabling the next wave of intelligent applications  
  • AI infrastructure fluency: Deep knowledge of AI Infra:  Kubernetes, operating systems, Storage systems and distributed systems. 
  • Quantitative intuition: The ability to build simplified performance models, identify bottlenecks through deep analysis, and design for scalability from first principles 
  • Growth mindset: For yourself, your team, and the organization. You balance optimism with realism, make smart bets, and understand that some experiments will fail fast while others will drive the company forward  

What You'll Create 

  • AI Data Architectures: Design storage and networking systems that connect structured and unstructured data to LLMs with unprecedented performance, enabling real-time inference and massive-scale training  
  • Intelligent Storage Systems: Build the next generation of ONTAP capabilities, focusing on AI-specific optimizations like vector store integration, semantic search, and automated data curation  
  • High-Performance Infrastructure: Develop systems capable of TB/s throughput and EB-scale data management, supporting the world's most demanding AI factories  
  • AI-Augmented Engineering: Pioneer internal tooling and workflows that use AI to accelerate development, from automated code review to intelligent debugging systems  
  • Cross-Functional Impact: Partner with hardware engineers, product managers, and researchers to deliver groundbreaking intelligent storage solutions that power everything from autonomous vehicles to pharmaceutical discovery
Your Qualifications

Technical Mastery: 

  • 8+ years of software development experience with a focus on systems, infrastructure, or storage technologies 
  • Expert-level proficiency in Golang, Python, and C/C++ 
  • Deep understanding of Linux kernel development, file systems, and distributed systems 
  • Experience with performance analysis, optimization techniques, and building quantitative models 
  • Familiarity with AI/ML infrastructure concepts: GPU computing, model serving, data pipelines, vector databases 

Mindset & Approach: 

  • Bold Ideas, Grounded Execution: You dream big but ship with precision 
  • Relentless Curiosity: An insatiable desire to understand how things work and how to make them better 
  • Collaborative Excellence: You elevate everyone around you through mentorship, knowledge sharing, and constructive feedback 
  • AI Fluency: Confidence in using AI tools to accelerate all aspects of your work  

Preferred Experience: 

  • Building or optimizing storage systems for AI/ML workloads 
  • Working with high-performance computing (HPC) environments or GPU clusters 
  • Knowledge of network protocols, RDMA, and high-speed interconnects 
  • Experience with agile methodologies and rapid prototyping  

Education: 

  • Bachelor's or master's degree in computer science, Engineering, or equivalent experience. We value what you've built and what you know over credentials alone. 

This is a pipeline requisition used to recruit for multiple openings across Levels 3, 4, and 5. Candidates will be evaluated and assigned to the appropriate level based on their qualifications, skills, and years of relevant experience.

Compensation:
The target salary range for this position is 130,900 - 194,700 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. 

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