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Ai Hardware Engineer Jobs in Spring Hope, NC (NOW HIRING)

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

$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 ...

Accenture

Senior Advanced AI Research Engineer

Raleigh, NC · On-site

$101K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

TrueField Systems LLC

Chief Engineer

Raleigh, NC

The company's product strategy spans hardware, AI-assisted automation, and field management tools ... The Chief Engineer will be the first harvester-specific hire, with responsibility expected to ...

TrueField Systems LLC

Chief Engineer

Raleigh, NC

The company's product strategy spans hardware, AI-assisted automation, and field management tools ... The Chief Engineer will be the first harvester-specific hire, with responsibility expected to ...

Relay

Associate Software Engineer, Embedded Development

Raleigh, NC · On-site

$127K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Beyond AOSP, our hardware spans a range of embedded platforms including STM32, nRF52/53, and ESP32 ... The full stack also touches cellular communication, voice processing, and AI - making this one of ...

Relay

Associate Software Engineer, Embedded Development

Raleigh, NC · On-site

$127K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Beyond AOSP, our hardware spans a range of embedded platforms including STM32, nRF52/53, and ESP32 ... The full stack also touches cellular communication, voice processing, and AI - making this one of ...

Verily Life Sciences

Cloud Engineer III

Raleigh, NC · On-site

$54.25 - $72.50/hr

Who We Are Verily Health is a data platform and technology company purpose-built to power AI ... You will work with software engineers, hardware engineers, data scientists & security to help them ...

Verily Life Sciences

Senior Cloud Engineer

Raleigh, NC · On-site

$54.25 - $72.50/hr

Who We Are Verily Health is a data platform and technology company purpose-built to power AI ... You will work with software engineers, hardware engineers, data scientists & security to help them ...

Microsoft

Formal Design Verification Engineer

Raleigh, NC · On-site

$132K/yr

Overview Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team ... Apply industry leading generative AI solutions to verification work * Coach and mentor others in ...

Microsoft

Design Verification Engineer

Raleigh, NC · On-site

$132K - $161K/yr

Overview Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team ... Apply industry leading generative AI solutions to verification work * Coach and mentor others in ...

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All JobsAi Hardware Engineer JobsAi Hardware Engineer Jobs in Spring Hope, NC

Ai Hardware Engineer information

See Spring Hope, NC salary details

$42.4K

$121.7K

$163.5K

How much do ai hardware engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for ai hardware engineer in Spring Hope, NC is $121,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $135,700.00 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 cities near Spring Hope, NC are hiring for Ai Hardware Engineer jobs? Cities near Spring Hope, NC with the most Ai Hardware Engineer job openings:
Ai Hardware Engineer jobs near you
Infographic showing various Ai Hardware Engineer job openings in Spring Hope, NC as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, 3% Contract, and 1% Nights. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $121,708 per year, or $58.5 per hour.

Staff Hardware Engineer, Power Delivery (AI Data Center)

Qualcomm

Raleigh, NC • On-site

$120K - $158K/yr

Full-time

Posted 3 days ago

New

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 243 rated software companies

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Hardware Engineering
General Summary:
Qualcomm is developing an exciting new product line for machine learning inference acceleration in the cloud with industry leading performance/watt. As part of this project Qualcomm is seeking an experienced power electronics engineer. The role will cover all aspects of product development including (but not limited to) specifying board level power design, power management products and voltage regulator selection, development, programming, debug, as well as post-silicon board/SoC test validation and power correlation ensuring system-level performance and power metrics are met.
  • Requires expertise in one or more of the following engineering disciplines: power electronics (switch mode and linear), power management, high bandwidth/low latency control interfaces, thermal analysis, power distribution networks, firmware coding, Python or similar scripting languages, PCB layout and construction and industry standard interfaces (e.g. DDR, PCIE, USB etc).
  • Uses design and simulation tools such as MATLAB, SIMPLIS, Excel and Mentor Graphics
  • Work with power, system, board architecture, and other cross-organization colleagues to ensure board meets power delivery requirements to SoC.
  • Provide schematic/layout guidance to CAD team and conduct design reviews following internal and industry established guidelines
  • Help drive internal simulation teams to ensure board design meets signal and power integrity (SI/PI) including (but not limited to) impedance analysis, IR drop analysis, transient droop/overshoot for all rails.
  • Expertise with multi-phase buck, boost, LDO regulators as well as crystal oscillators, low-noise clocks, precision references; implement differential voltage and current sensing.
  • Responsible for programming Qualcomm PMIC programing to orchestrate system power-on and power-off sequence on a development platform. Especially critical to be able to work with a degree of abstraction and ambiguity.
  • Derive, document, and execute board validation test plans pre/post-silicon. Bring up and test PCB utilizing typical test equipment (oscilloscopes, meters, electronic loads, passive/active/power probes, T32 debuggers, etc.)
  • Drives triage of problems at the system-level to determine root cause. Analyze test results ensuring sufficient design margins have been achieved. Provide feedback to teams to implement changes as required. Support SoC, software and firmware teams during development
  • Tracks industry technology trends, interacts with other technology teams. Provides technical expertise for next generation initiatives.

Ideal candidates will demonstrate the following education background:
  • Master's degree in Electrical Engineering and 6+ years of relevant experience

Minimum Qualifications:
• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$121,400.00 - $182,000.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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