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Ai Hardware Engineer Jobs in Raleigh, NC (NOW HIRING)

Senior Applied AI Engineer

Durham, NC · On-site

$101K - $138K/yr

Collaborate across hardware, software, and research teams, mentoring and supporting peers while ... MS or higher degree (or equivalent experience) in Computer Science, Engineering, AI, or a related ...

... AI platform that spans Windows, Android, and cloud. We are hiring a Staff Engineer to drive the ... and hardware optimization for the capabilities you own. * Mentor and Elevate: Act as a force ...

Senior Advanced AI Research Engineer

Raleigh, NC · On-site

$101K - $139K/yr

You Are: As a Senior Advanced AI Research Engineer, you sit at the boundary between AI systems ... attainable hardware. * Contribute to external publications, technical reports, and conference ...

New

We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ... RF System Integration: Collaborate with hardware engineers to integrate digital signal processing ...

Software Engineer About CoVar CoVar is a small, mission-driven AI/ML R&D software company based in ... Experience with embedded systems or deploying AI/ML solutions on edge hardware (highly desirable)

... AI/ML solutions on edge hardware (highly desirable) • Familiarity with real-time systems, edge hardware optimization, and performance profiling • Experience with signal processing, pattern ...

Sr Software Developer- AI & Automation Solutions

Cary, NC · On-site +1

$51 - $67.25/hr

Senior Software Developer - AI & Automation Solutions- Hybrid, Cary, North Carolina or Remote in ... Our team is the enablement arm for Research and Development at SAS, providing hardware, software ...

Showing results 21-40

Ai Hardware Engineer information

See Raleigh, NC salary details

$49.6K

$142.1K

$191K

How much do ai hardware engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for ai hardware engineer in Raleigh, NC is $142,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $158,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI hardware engineer, and why are they important?

To thrive as an AI Hardware Engineer, you need strong foundations in computer engineering, digital logic design, and knowledge of machine learning algorithms, typically supported by a degree in electrical engineering or computer engineering. Familiarity with hardware description languages (such as Verilog or VHDL), FPGA/ASIC development tools, and experience with simulation and debugging systems are essential. Problem-solving abilities, attention to detail, and effective teamwork are standout soft skills for this role. These skills are crucial for creating efficient, reliable AI hardware solutions and collaborating across multidisciplinary teams to advance cutting-edge technologies.

What is an AI hardware engineer?

AI Hardware Engineers are professionals who design, develop, and optimize computer hardware systems specifically for artificial intelligence applications. Their work involves creating specialized processors, such as GPUs, TPUs, or custom chips, that accelerate machine learning tasks and handle large-scale data processing efficiently. They collaborate with software engineers to ensure hardware and AI models work seamlessly together, improving performance, power efficiency, and scalability of AI systems. AI Hardware Engineers play a crucial role in advancing technologies used in data centers, autonomous vehicles, robotics, and edge devices.

What is the difference between Ai Hardware Engineer vs AI Software Engineer?

AspectAi Hardware EngineerAI Software Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; knowledge of hardware design and programmingBachelor's or higher in Computer Science, Software Engineering, or related; proficiency in programming languages and AI frameworks
Work EnvironmentDesigning, testing, and developing AI hardware components in labs or manufacturing settingsDeveloping AI algorithms and applications in software development environments
Employer & Industry UsageTech companies, hardware manufacturers, research labsSoftware firms, tech startups, AI research organizations

While both roles focus on AI, Ai Hardware Engineers specialize in creating the physical components that enable AI systems, whereas AI Software Engineers develop the algorithms and software that run on hardware platforms. Understanding these differences helps job seekers target the right roles based on their skills and interests.

How do AI hardware engineers typically collaborate with software and data teams during the development process?

AI Hardware Engineers work closely with software developers and data scientists to ensure that hardware architectures are optimized for specific AI workloads. Collaboration often involves regular meetings to discuss performance requirements, compatibility challenges, and customizations needed for machine learning models. By maintaining open communication channels, hardware engineers can adapt designs based on feedback from software and data teams, ensuring seamless integration and optimal system performance.
What are popular job titles related to Ai Hardware Engineer jobs in Raleigh, NC? For Ai Hardware Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Hardware Engineer jobs in Raleigh, NC look for? The top searched job categories for Ai Hardware Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Hardware Engineer jobs? Cities near Raleigh, NC with the most Ai Hardware Engineer job openings:
Infographic showing various Ai Hardware Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $142,148 per year, or $68.3 per hour.

Intellectual Property Security Engineer

Nvidia

Durham, NC • Hybrid

Full-time

Posted 15 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 243 rated software companies


Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by seeking new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. Make the choice to join us today!

What you'll be doing:

As an engineer in NVIDIA's Hardware IP Security team you will play a vital role in protecting our intellectual property from malicious and accidental misuse by helping engineering teams build secure-by-default workflows and environments, crafting training materials, implementing security policies and methodologies, and investigating newly discovered threats to the integrity of NVIDIA's security infrastructure. This is a hands-on contributor role for someone who excels in an independent, fast-paced environment and who is as comfortable digging into requirements and development details as they are handling day-to-day organization tasks. You will understand security industry standards and enable others to follow those standards. You will define priorities, plan schedules, and build relationships with other teams. Extensive interpersonal collaboration with other Security, Hardware Engineering, and IT partners will enable you to improve existing practices and policies, and reduce the impact of security requirements on engineering productivity.

What we need to see:

  • Strong interpersonal skills

  • A mentality of improving the productivity and work experience of internal customers

  • Established and led high-performing technical teams across hardware engineering and/or information security, driving multi-functional initiatives, mentoring engineers, and delivering secure, reliable systems from design through deployment.

  • Strong threat-modeling experience, including data flows, trust boundaries, STRIDE-style analysis, and translating findings into mitigations.

  • Ability to prioritize practical risk reduction in a fast-moving engineering environment.

  • Experience securing Linux-based on-prem or cloud infrastructure at scale, including authentication, authorization, hardening, patching, logging, and incident response.

  • Comfortable presenting to and working with senior management to convey risk and work to prioritize mitigation.

  • Bachelors, Masters in Computer Science or a related field or equivalent experience

  • 8+ years of experience

Ways to stand out from the crowd:

  • 5+ years as technical team lead bridging engineering, product, and customers, translating requirements into actionable plans and steering the team to successful outcomes.

  • Led and/or mentored a support team of engineers, coaching on technical and customer-facing skills while driving accountability and continuous improvement.

  • Experience securing AI-assisted developer workflows, including connected CLIs, agent permissions, prompt injection, data leakage, and autonomous execution controls.

  • Experience with security monitoring, audit logging, detection engineering, and investigation of suspicious activity.

  • Familiarity with EDA workflows, semiconductor design environments, or other large-scale engineering/HPC environments.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993