ZipRecruiter

Log In

1

Ai Hardware Engineer Jobs in Kansas (NOW HIRING)

EnCharge AI

$175K - $245K/yr

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing ... About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep ...

GuideTech LLC

Board Design Engineer

Lenexa, KS · Hybrid

Hardware Design * Design and develop complex multilayer PCBAs/CCAs for advanced UAV, aerospace, and AI platforms. * Create schematics, define design constraints, support PCB layout, participate in ...

GuideTech Open Roles

Board Design Engineer

Lenexa, KS · On-site

Hardware Design * Design and develop complex multilayer PCBAs/CCAs for advanced UAV, aerospace, and AI platforms. * Create schematics, define design constraints, support PCB layout, participate in ...

GuideTech LLC

Board Design Engineer

Lenexa, KS · On-site

Hardware Design * Design and develop complex multilayer PCBAs/CCAs for advanced UAV, aerospace, and AI platforms. * Create schematics, define design constraints, support PCB layout, participate in ...

GuideTech LLC

Embedded Software Engineer

Lenexa, KS

$119K - $157K/yr

... hardware, systems, and autonomy engineering teams throughout the product lifecycle. GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial technology company ...

GuideTech Open Roles

Embedded Software Engineer

Lenexa, KS · On-site

$119K - $157K/yr

... hardware, systems, and autonomy engineering teams throughout the product lifecycle. GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial technology company ...

Shield AI

Flight Test Engineer (R5006)

Wichita, KS · On-site

$115K - $215K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... You can write a detailed test plan, troubleshoot hardware and software at a test site, analyze ...

GuideTech LLC

FPGA Design Engineer

Lenexa, KS · On-site

$112K - $154K/yr

Lenexa, KS GuideTech, a subsidiary of Palladyne AI (NASDAQ: PDYN), builds high-performance avionics ... Develop RTL and support simulation, synthesis, place and route, timing closure, hardware ...

GuideTech LLC

FPGA Design Engineer

Lenexa, KS · On-site

$112K - $154K/yr

Lenexa, KS GuideTech, a subsidiary of Palladyne AI (NASDAQ: PDYN), builds high-performance avionics ... Develop RTL and support simulation, synthesis, place and route, timing closure, hardware ...

GuideTech Open Roles

FPGA Design Engineer

Lenexa, KS · On-site

$112K - $154K/yr

Location : Lenexa, KS GuideTech, a subsidiary of Palladyne AI (NASDAQ: PDYN), builds high ... Develop RTL and support simulation, synthesis, place and route, timing closure, hardware ...

GuideTech LLC

Embedded Software Engineer

Lenexa, KS · On-site

$119K - $157K/yr

... hardware, systems, and autonomy engineering teams throughout the product lifecycle. GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial technology company ...

NetApp, Inc.

Media Qualification Engineer

Wichita, KS · On-site

$129K - $192K/yr

Requirements * 5+ years of demonstrated experience leading hardware or storage qualification ... Comfortable leveraging AI tools to enhance productivity, research, troubleshooting, or process ...

NetApp

Media Qualification Engineer

Wichita, KS · On-site

$129K - $192K/yr

Requirements * 5+ years of demonstrated experience leading hardware or storage qualification ... Comfortable leveraging AI tools to enhance productivity, research, troubleshooting, or process ...

All Engineering Recruitment Solutions

Be Seen First

Control Systems Engineer II

Wichita, KS · On-site

$85K - $110K/yr

Participates in projects involving digital transformation , connected operations, and emerging AI ... Supports control system architecture , industrial network infrastructure , hardware configuration ...

New

PICTOR LABS INC

$89K - $123K/yr

This role offers the opportunity to work at the intersection of cutting-edge AI and life-saving ... hardware accelerators * Ensure inference systems meet regulatory requirements (FDA 510(k), SOC2 ...

next page

Showing results 1-20

All JobsAi Hardware Engineer JobsAi Hardware Engineer Jobs in Kansas

Ai Hardware Engineer information

See Kansas salary details

$45.5K

$130.4K

$175.2K

How much do ai hardware engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for ai hardware engineer in Kansas is $130,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $145,400.00 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 Kansas? For Ai Hardware Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Ai Hardware Engineer jobs in Kansas look for? The top searched job categories for Ai Hardware Engineer jobs in Kansas are:
What cities in Kansas are hiring for Ai Hardware Engineer jobs? Cities in Kansas with the most Ai Hardware Engineer job openings:
Ai Hardware Engineer jobs near you
Infographic showing various Ai Hardware Engineer job openings in Kansas as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $130,415 per year, or $62.7 per hour.

AI Research Engineer

EnCharge AI

On-site

$175K - $245K/yr

Full-time

Re-posted 4 days ago

Job description

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today's best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization strategies, and efficient inference techniques to improve the performance of AI workloads. 

Responsibilities

  • Research and develop quantization-aware training (QAT) and post-training quantization (PTQ) techniques for deep learning models.

  • Implement low-bit precision optimizations (e.g., INT8, BF16).

  • Design and optimize efficient inference algorithms for AI workloads, focusing on latency, memory footprint, and power efficiency.

  • Work with frameworks such as PyTorch, ONNX Runtime, and TVM to deploy optimized models.

  • Analyze accuracy trade-offs and develop calibration techniques to mitigate precision loss in quantized models.

  • Collaborate with hardware engineers to optimize model execution for edge devices, and NPUs.

  • Contribute to research on knowledge distillation, sparsity, pruning, and model compression techniques.

  • Benchmark performance across different hardware and software stacks.

  • Stay updated with the latest advancements in AI efficiency, model compression, and hardware acceleration. 

Qualifications

  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field.

  • Strong expertise in deep learning, model optimization, and numerical precision analysis.

  • Hands-on experience with model quantization techniques (QAT, PTQ, mixed precision).

  • Proficiency in Python, C++, CUDA, or OpenCL for performance optimization.

  • Experience with AI frameworks: PyTorch, TensorFlow, ONNX Runtime, TVM, TensorRT, or OpenVINO.

  • Understanding of low-level hardware acceleration (e.g., SIMD, AVX, Tensor Cores, VNNI).

  • Familiarity with compiler optimizations for ML workloads (e.g., XLA, MLIR, LLVM). 

EnchargeAI is an equal employment opportunity employer in the United States.

The salary range for this position is $180,000 to $240,000 USD per year. (Per Year: $175,000 to $245,000 CAD | 116,000 to 154,000 EUR)
Actual compensation offered will be determined based on job-related knowledge, skills, and experience.

Apply