ZipRecruiter

Log In

1

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

Sennos

Embedded Systems Hardware Engineer

Durham, NC · On-site

About Sennos Sennos is rapidly emerging as the global leader in AI-driven sensing, analytics, and ... Position Summary The Embedded Systems Hardware Engineer designs, prototypes, tests, and ...

Qualcomm

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

The AI Architecture team is comprised of experts that span the full gamut from software ... years Hardware Engineering experience defining architecture of GPUs or accelerators used for ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

... the AI software stack. • Ensure robust testing, profiling, and performance tuning across diverse ML models and hardware targets. • Manage and mentor a team of engineers, fostering technical ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

... AI software stack. * Ensure robust testing, profiling, and performance tuning across diverse ML models and hardware targets. Team & Project Management: * Manage and mentor a team of engineers ...

Nvidia

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

Influence the design of next-generation hardware architectures, software, and programming models in ... Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing ...

Nvidia

Senior Applied AI Engineer

Durham, NC

$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 ...

Nvidia

Tegra System Software Engineer

Durham, NC

$167K - $198K/yr

Working closely with the hardware, silicon, pre-silicon teams to bring-up new platforms, products ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

CoVar

Signal Processing Engineer

Durham, NC

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 ...

CoVar

Software Engineer

Durham, NC

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)

next page

Showing results 1-20

All JobsAi Hardware Engineer JobsAi Hardware Engineer Jobs in Raleigh, NC

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 Jul 20, 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 are AI Hardware Engineers?

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:
Ai Hardware Engineer jobs near you
Infographic showing various Ai Hardware Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $142,148 per year, or $68.3 per hour.

Embedded Systems Hardware Engineer

Sennos

Durham, NC • On-site

Full-time

Re-posted 6 days ago

Job description

About Sennos
Sennos is rapidly emerging as the global leader in AI-driven sensing, analytics, and control for the Fluid, Fermentation, and Bio-manufacturing industries. With a revolutionary integration of hardware, software, and real-time multi-parametric data, we have quietly built the world's most advanced sensing system and largest AI-powered fermentation data warehouse. By owning the entire stack-from sensing hardware to data infrastructure-we have delivered a breakthrough solution that reveals complex biological and chemical interactions, predicts precision outcomes, and enables next-generation production control.
Sennos is a rapidly growing start-up looking for someone who can quickly adapt to a changing environment and who has the desire to grow with us!
Position Summary
The Embedded Systems Hardware Engineer designs, prototypes, tests, and troubleshoots embedded controller hardware used in industrial sensor products. This role works across the full lifecycle of embedded electronics, from early schematic and layout through validation, production support, and field-driven design iteration. The position combines hands-on hardware development with close collaboration across firmware, test, and manufacturing teams as products scale into volume deployment.
Responsibilities
  • Design and develop embedded controller hardware for industrial sensor systems, from concept through production release
  • Own schematic capture, component selection, and PCB layout for small form-factor boards, including power, signal integrity, and manufacturability considerations
  • Develop and validate designs using embedded CPUs (primarily ESP32 family), ADCs, power regulation, battery management, and peripheral interfaces
  • Prototype, test, and debug hardware using bench instrumentation and in-system diagnostics
  • Collaborate closely with firmware engineers to support multiple code branches, enabling hardware features and debugging system-level behavior
  • Contribute targeted diagnostic and validation firmware (e.g., logging hooks, input validation, test routines) to accelerate hardware bring-up and troubleshooting
  • Partner with test, manufacturing, and field teams to refine existing designs based on real-world performance, reliability, and deployment feedback
  • Support production ramp and sustaining engineering activities as products are delivered in volume

Required Qualifications
Education:
  • Bachelor's degree in Electrical Engineering or closely related field

Experience:
  • Hands-on experience designing embedded hardware using ESP32-class microcontrollers
  • Experience designing power systems, including battery-powered devices, charging, and power management
  • Experience with PCB schematic capture and layout for compact, high-density boards

Skills:
  • Strong understanding of analog-to-digital conversion, signal conditioning, and mixed-signal design
  • Proficiency with board-level interconnects and serial bus technologies (e.g., SPI, I²C, UART, CAN)
  • Ability to debug hardware-firmware interactions using scopes, logic analyzers, and diagnostic code
  • Strong problem-solving skills with attention to detail
  • Excellent communication and collaboration skills across technical teams

Preferred Qualifications
  • Experience supporting hardware designs through manufacturing and field deployment
  • Familiarity with industrial sensor systems or ruggedized embedded products
  • Experience contributing to embedded firmware, particularly diagnostic logging and validation code
  • Exposure to custom or application-specific microcontrollers beyond ESP32 platforms
  • Knowledge of EMI/EMC design considerations for industrial environments
  • Experience with fermentation, brewing, or process control applications

Team Working Style
  • Works closely with firmware, test, and manufacturing teams to solve cross-disciplinary problems
  • Comfortable balancing new product development with iterative improvement of deployed designs
  • Values practical debugging, clear communication, and learning from field data

Physical Requirements and Work Environment
  • Ability to sit and stand for extended periods while working at a workbench and computer
  • Ability to lift up to 25 pounds occasionally for equipment and prototype handling
  • Lab/office environment with access to electronics testing equipment
  • Minimal travel required (occasional visits to manufacturing facilities or customer sites)

This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Responsibilities may change according to business needs.
Equal Opportunity Statement
Sennos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Please Note
Applicants must be permanently authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Recruitment Agency Notice:
We do not accept unsolicited candidate submissions. We only work with recruitment agencies that have a signed agreement with our HR team. Unsolicited resumes will not incur any fee obligation.

Apply