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

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 ...

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 ...

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 ...

Senior Solution Engineer, Networking

Durham, NC

$53.50 - $68.75/hr

Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era ... hardware manufacturer or software integrator. It is essential to have a proven grasp of in-field ...

Programming and debugging fundamentals across languages such as: C/C++, Verilog, ARM assembly and ... More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ...

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 ...

Showing results 41-60

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.

Full-time

Re-posted 4 days ago


Job description

TRUEFIELD SYSTEMS LLC Chief Engineer  Full-Time  •  Early-Stage Startup  •  Field & Lab Environment   Reports To CEO / Co-Founder Location Raleigh area, NC Stage Early-stage. Harvester in planned development phase. First dedicated harvester engineering hire.  Compensation Competitive base salary and equity grant, commensurate with experience.   ABOUT TRUEFIELD TrueField is an agriculture company built for on-farm solutions designed to scale from small specialty operations to commercial production. The company's product strategy spans hardware, AI-assisted automation, and field management tools, with solutions developed to be relevant across a range of farm sizes rather than optimized for a single segment.  The initial product is a purpose-built pull-type small form harvester for specialty small grain and pulse crop producers. Target crops include soft wheat, malting barley, oats, rye, spelt, and cover crop seed alongside lentils, dry peas, chickpeas, and edible beans. This harvester is the first offering in TrueField's broader on-farm solutions portfolio.  The company is early-stage, founder-funded, with an experienced team that includes backgrounds in aerospace, precision agriculture, and AI systems. The Chief Engineer will be the first harvester-specific hire, with responsibility expected to extend to additional products as the portfolio develops.  THE ROLE The engineer in this role will build a team and lead all aspects of system architecture, mechanical, power system, sensors, and autonomy development for TrueField's harvester from prototype to production. As TrueField's on-farm solutions portfolio expands, this role is expected to grow in scope to encompass additional hardware products. The position spans design and fabrication work as well as hands-on field testing during harvest seasons.  PRIMARY RESPONSIBILITIES Threshing & Separation System Design Work with VP – Products to assess fundamental architectural choices and product-to-market fit of various trades. Lead the mechanical design of the threshing and separation system optimized for the full crop range. Settings must be tunable across this span without major mechanical reconfiguration. Develop variable-speed cylinder/rotor drive, fine adjustment concave geometry, and cleaning mechanism capable of achieving target grain loss and quality thresholds across both small grains and pulse crops. Design system to be operator adjustable and accessible from cab without stopping harvest, a non-negotiable requirement for single-operator field efficiency. Evaluate and specify threshing component materials and surface treatments for wear resistance across multi-crop duty cycles. Build and iterate on prototype sub-assemblies; conduct bench testing prior to field integration.  Sensor Integration & Machine-Embedded Data Collection Work with electrical engineering colleagues to mechanically integrate the grain loss vision system, grain tank camera, and tailings elevator camera into the harvester structure. Design mounting, vibration isolation, sealing, and field-service access for embedded sensor systems. All components must survive harvest season conditions without technician intervention. Collaborate on ISOBUS-compatible cab display and machine control integration; understand CAN bus architecture sufficiently to specify mounting and harness routing requirements. Instrument prototype machines for AI training data collection — concave load sensors, acoustic loss detection, ground speed, and loss imaging must generate synchronized, clean datasets from field harvests.  Field Testing & Validation Plan and execute seasonal field test programs across the full target crop range and focus regions, beginning in NC, VA, and the Mid-Atlantic (soft red winter wheat, edible beans, oats, rye), with subsequent expansion to the PNW (soft white wheat, barley, lentils, dry peas) and Northern Plains (spring wheat, durum, pulse crops). Define harvest performance KPIs (grain loss %, split rate, throughput, unload time) and collect structured data across field test events. Diagnose and root-cause field failures; translate field observations into design revisions with documented rationale. Support early adopter farm placements as the primary TrueField technical contact on-site during the first harvest seasons. Document machine settings, field conditions, and crop-specific performance data in formats that feed the AI training dataset and the operator settings baseline library.  QUALIFICATIONS Required B.S. or M.S. in Mechanical Engineering, Agricultural Engineering, Biosystems Engineering, or closely related field. 5+ years of hands-on mechanical design experience in agricultural equipment, off-highway machinery, or rotating machinery — prior work on harvesters, combines, or threshing equipment strongly preferred. Demonstrated proficiency in 3D CAD (OnShape, SolidWorks, CATIA, or equivalent) and fabrication-aware design practice. Working knowledge of ASABE engineering standards applicable to harvesting equipment (ASABE S495.1 and related). Ability and willingness to work in field conditions during harvest season, including, variable weather and grain dust environments. Strong written and verbal communication skills — you will document design decisions, test results, and operator training materials independently. Demonstrated leadership of small teams and willingness to engage in a clean-sheet design with a new company that puts farmer needs first.  Preferred Direct hands-on experience with specialty small grain or pulse crop harvesting — wheat, barley, oats, rye, lentils, dry peas, or edible beans — either in equipment design or as a grower/operator. Experience across both crop categories is a strong differentiator. Familiarity with machine vision or sensor integration in agricultural settings. Experience with ISOBUS / ISO 11783 and CAN-based machine control architectures. Exposure to agricultural AI, precision agriculture systems, or edge computing hardware platforms. Background in grain quality assessment (loss metering, split/crack evaluation methodology).  ABOUT THE OPPORTUNITY Chief Engineer should thrive in a lean, fast-moving organization; bring a high degree of autonomy, creative problem solving, and open communication to a role where priorities and approaches will evolve as the product develops.The harvester is TrueField's first product within a planned marketplace of on-farm solutions. The engineer in this role is expected to contribute to additional hardware products as the portfolio develops. TrueField's product strategy is designed to scale from small specialty farm operations through commercial production, which broadens the long-term engineering scope beyond the initial target segment. The company is headquartered in Oxford, NC with initial field testing conducted through established grower networks in NC and VA. The team combines defense engineering discipline, agricultural domain knowledge, and AI development capability. The Chief Engineer fills the core technical gap in that composition. The product addresses a documented gap in harvesting equipment availability for 50–500 acre specialty grain and pulse operations — a segment that has limited access to right-sized, modern equipment.  HOW TO APPLY Submit a resume and cover letter by using the Apply to this Position icon.Candidates without direct mechanical or agricultural equipment experience will not be considered.  TrueField Systems LLC 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 characteristic protected by applicable federal, state, or local law.   TrueField Systems LLC is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application and interview process. If you require accommodation to participate in the hiring process, please contact us to make a request.