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Embedded Ai Engineer Jobs in Kansas (NOW HIRING)

Embedded Software Engineer

Lenexa, KS · On-site

$119K - $157K/yr

GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial ... Our engineers work across the full development lifecycle from embedded software development and ...

Embedded Software Engineer

Lenexa, KS · On-site

$119K - $157K/yr

GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial ... Our engineers work across the full development lifecycle from embedded software development and ...

Embedded Software Engineer

Lenexa, KS · On-site

$119K - $157K/yr

GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial ... Our engineers work across the full development lifecycle from embedded software development and ...

... embedded software, and manufacturing teams. GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN ... Manage engineering change notices (ECNs), product revisions, and hardware lifecycle documentation.

... embedded software, and manufacturing teams. GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN ... Manage engineering change notices (ECNs), product revisions, and hardware lifecycle documentation.

... embedded software, and manufacturing teams. GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN ... Manage engineering change notices (ECNs), product revisions, and hardware lifecycle documentation.

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

... AI-assisted code review and data quality) as the default way our engineers, analytics engineers, and embedded BI teams build and ship. You will translate complex business questions into durable ...

You will be the engineer who makes the new stack real, extracting business logic from legacy ... embedded product surfaces, and AI. Key Responsibilities: Build and own the governed semantic and ...

You will be the engineer who makes the new stack real, extracting business logic from legacy ... embedded product surfaces, and AI. Key Responsibilities: Build and own the governed semantic and ...

... AI capabilities relevant to embedded security research. * Collaborate with the product, engineering, and research teams to feed pentesting findings back into the Finite State platform and improve ...

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Showing results 1-20

Embedded Ai Engineer information

See Kansas salary details

$62.4K

$136.8K

$155.2K

How much do embedded ai engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for embedded ai engineer in Kansas is $136,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,300.00 and $154,300.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are the key skills and qualifications needed to thrive as an embedded AI engineer?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.
What are popular job titles related to Embedded Ai Engineer jobs in Kansas? For Embedded Ai Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Embedded Ai Engineer jobs in Kansas look for? The top searched job categories for Embedded Ai Engineer jobs in Kansas are:
What cities in Kansas are hiring for Embedded Ai Engineer jobs? Cities in Kansas with the most Embedded Ai Engineer job openings:
Infographic showing various Embedded Ai Engineer job openings in Kansas as of July 2026, with employment types broken down into 70% Full Time, 26% Part Time, and 4% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $136,795 per year, or $65.8 per hour.

Embedded Software Engineer

GuideTech LLC

Lenexa, KS • On-site

$119K - $157K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Job description

Description

Location: Lenexa, KS (On-site)


As an Embedded Software Engineer, you'll develop embedded software that powers advanced avionics and autonomous aerospace systems. You'll play a critical role in delivering reliable, high-performance software for mission-critical applications while collaborating across 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 that delivers embodied AI-powered collaborative autonomy solutions, advanced avionics, precision-manufactured components, UAVs, and advanced aerospace design services.


At GuideTech, you'll contribute to technologies that support a diverse range of aerospace and defense platforms, including unmanned aircraft, launch vehicles, spacecraft, missiles, and other autonomous systems. Our engineers work across the full development lifecycle from embedded software development and hardware bring-up to hardware-in-the-loop (HIL) simulation, system integration, and testing which provides the opportunity to see your work running on production hardware and supporting real-world missions.


You'll thrive in this role if you enjoy solving complex technical challenges, working close to the hardware, and collaborating with multidisciplinary teams to build reliable, high-performance systems. You're naturally curious, take ownership of your work, and are motivated by developing technology that performs in demanding real-world environments.


What You'll Do

  • Develop embedded software and firmware in C/C++ for real-time aerospace and defense applications.
  • Write efficient, reliable code that runs directly on embedded processors and microcontrollers.
  • Develop software that interfaces with sensors, actuators, communication buses, and other hardware peripherals.
  • Optimize software for performance, memory utilization, and real-time responsiveness.
  • Support hardware bring-up, integration, debugging, and system testing.
  • Debug and validate software using simulators, debuggers, oscilloscopes, logic analyzers, and hardware-in-the-loop (HIL) environments.
  • Collaborate closely with electrical, systems, and autonomy engineers throughout the development lifecycle.
  • Contribute to technical documentation, design reviews, and continuous improvement of software quality.

What Makes Someone Successful Here

  • You communicate effectively through technical discussions, documentation, and collaboration.
  • You embrace new challenges, evolving priorities, and opportunities to learn.
  • You work well within multidisciplinary and geographically distributed teams.
  • You approach problems with curiosity, creativity, and sound engineering judgment.
  • You take ownership of your work and are accountable for delivering high-quality results.
  • You build strong working relationships based on trust, respect, and open communication.
  • You are motivated by solving meaningful engineering challenges that support critical missions.

Requirements

  • C/C++ required.
  • Embedded applications strongly preferred.
  • Experience with Zynq/ARM platforms and the AMD/Xilinx development environment (Vivado, Vitis) strongly preferred.
  • Experience with UART, I2C, SDLC, CAN, and SPI interfaces preferred.
  • Experience with Python, C#, and Linux shell scripting preferred.
  • Experience using test equipment, including oscilloscopes and logic analyzers, preferred.
  • VHDL desired.
  • Soldering experience (cables/harnessing, surface-mount components) desired.

Benefits & Perks

  • Competitive salary
  • 401(k) with company match
  • Comprehensive medical, dental, and vision coverage
  • Paid time off and company holidays
  • Professional development opportunities

Work Authorization & Clearance

This position requires the ability to work in the United States without current or future sponsorship. Depending on the nature of the work, the ability to obtain and maintain a U.S. security clearance may be required. Candidates may be asked to provide additional information relevant to clearance eligibility in accordance with applicable laws and regulations.


The Fine Print

No 3rd party candidates will be accepted. It is Palladyne AI's policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.