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Senior Embedded Ai Jobs in Raleigh, NC (NOW HIRING)

US Radiology Specialists

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

This role will report to the SVP of AI Integrations and work closely with the AI and IT teams, as ... Configure and leverage enterprise AI tools (e.g., copilots, automation platforms, embedded AI ...

OPINE

Senior+ Software Engineer (AI Agents)

Durham, NC

$111K - $146K/yr

Senior+ Software Engineer (AI Agents) Opine is a fast-growing AI sales tech startup trusted by ... embedded in the early product and business decisions. * An environment that encourages ...

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All JobsEmbedded Ai JobsSenior Embedded Ai JobsSenior Embedded Ai Jobs in Raleigh, NC

Senior Embedded Ai information

See Raleigh, NC salary details

$73.4K

$140.7K

$188.1K

How much do senior embedded ai jobs pay per year?

As of Jun 16, 2026, the average yearly pay for senior embedded ai in Raleigh, NC is $140,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $158,000.00 per year, depending on experience, location, and employer.

What is a Senior Embedded AI Engineer?

A Senior Embedded AI Engineer is a specialized professional who designs, develops, and implements artificial intelligence algorithms on embedded systems, such as microcontrollers and edge devices. They work at the intersection of hardware and software, optimizing AI models for performance, efficiency, and low power consumption. Their responsibilities often include collaborating with hardware engineers, integrating AI solutions into products, and ensuring real-time processing capabilities. Senior roles typically require deep expertise in both AI frameworks and embedded system architectures, as well as experience leading technical projects.

What is the difference between Senior Embedded Ai vs Embedded Software Engineer?

AspectSenior Embedded AiEmbedded Software Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; experience in AI/MLBachelor's in Computer Science, Electrical Engineering, or related; programming skills in C/C++
Work EnvironmentResearch labs, AI-focused teams, product development in IoT, roboticsEmbedded systems development in consumer electronics, automotive, industrial devices
Employer & Industry UsageTech companies, startups, automotive, roboticsElectronics manufacturers, automotive, consumer device companies

While both roles involve embedded systems, Senior Embedded Ai focuses on integrating AI/ML capabilities into embedded devices, requiring knowledge of AI frameworks. Embedded Software Engineers develop the core software for embedded hardware, often with less emphasis on AI. The senior role typically demands more experience and specialized skills in AI integration.

What are the key skills and qualifications needed to thrive as a Senior Embedded AI Engineer, and why are they important?

To thrive as a Senior Embedded AI Engineer, you need strong expertise in embedded systems, machine learning algorithms, and proficiency in programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with hardware platforms (such as ARM or FPGA), real-time operating systems (RTOS), and AI frameworks (like TensorFlow Lite or ONNX) is typically required. Exceptional problem-solving, teamwork, and communication skills help you collaborate effectively and drive innovation in multidisciplinary environments. These skills are crucial for developing efficient, reliable AI solutions that operate seamlessly on resource-constrained devices.

What are some common challenges faced by Senior Embedded AI engineers when integrating AI models into resource-constrained devices?

Senior Embedded AI engineers often encounter challenges such as optimizing AI models to run efficiently on devices with limited memory, processing power, and battery life. Balancing model accuracy with computational constraints requires creative problem-solving, such as model quantization, pruning, or leveraging hardware accelerators. Additionally, ensuring real-time performance and maintaining robust security for on-device inference are key concerns. Close collaboration with hardware, firmware, and software teams is essential to successfully deploy and maintain AI solutions on embedded systems.
What are the most commonly searched types of Embedded Ai jobs in Raleigh, NC? The most popular types of Embedded Ai jobs in Raleigh, NC are:
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Senior Embedded Ai jobs near you
Sr. Embedded Software Engineer

Sr. Embedded Software Engineer

Diversified Services Network, Inc.

Cary, NC • On-site

$114K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Diversified Services Network, Inc. (DSN) is seeking a full-time Senior C++ Software Engineer (Autonomous Systems) to join our team in Mossville, IL OR Pittsburgh, PA OR Sanford, North Carolina OR Cary, North Carolina OR Clayton, North Carolina OR San Francisco, CA! We offer full benefits, PTO, 401k, and more! If you're looking to grow your technical career within an extremely reputable, stable Fortune 500 company - let's talk!

We are seeking a Senior Software Engineer to play a key technical leadership role on autonomy software teams developing perception, planning, control, and platform capabilities for autonomous systems. This position focuses on architecting, implementing, and scaling production-quality autonomy software while mentoring engineers and driving technical direction across projects. The ideal candidate brings deep hands-on experience in complex software systems, thrives in cross‑functional autonomy environments, and is capable of translating ambiguous requirements into robust, field-ready solutions.

Requirements

JOB RESPONSIBILITIES:

  • Lead the design, development, and ownership of major autonomy software components across perception, localization, planning, control, or platform layers
  • Define and influence software architecture for scalable, reliable, and maintainable autonomy systems
  • Translate algorithmic concepts and research prototypes into production-grade, real-time software
  • Serve as a technical leader within the team, setting coding standards, best practices, and design patterns
  • Mentor and guide junior and mid-level engineers through design reviews, code reviews, and technical coaching
  • Collaborate closely with robotics, controls, AI/ML, simulation, systems, and safety teams to deliver end-to-end autonomy capabilities
  • Drive integration of autonomy software with sensors, actuators, compute platforms, and vehicle networks (e.g., CAN, Ethernet)
  • Lead debugging and root-cause analysis for complex issues observed in simulation, HIL, or field deployments
  • Ensure software quality through automated testing, CI/CD pipelines, performance optimization, and documentation
  • Contribute to technical roadmaps, risk assessments, and long-term platform strategy

EDUCATION & EXPERIENCE REQUIRED:

  • Bachelor’s Degree in Computer Science, Software Engineering, Robotics, or related field AND 5+ years’ of professional software development experience with a strong focus on autonomy, robotics, or real-time systems.

REQUIRED SKILLS:

  • Strong expertise in C++ (required); proficiency in Python
  • Proven experience designing and maintaining large-scale, production software systems
  • Deep understanding of Linux-based development, multithreading, memory management, and performance optimization

SOFT SKILLS REQUIRED:

  • Strong code review, design documentation, and technical communication skills
  • Working within a large team that is spread out across the globe

Benefits

  • 401(k)
  • Dental insurance
  • Vision Insurance
  • Disability insurance
  • Employee assistance program
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Paid Holidays

Please follow the link to our website for a list of job openings in Engineering, IT, Project Management, and more! https://www.dsnworldwide.com

Salary expectations: 110,000-121,000 per annual