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Embedded Systems Engineer Jobs in Lexington, KY (NOW HIRING)

Astemo

Sr. Engineer

Harrodsburg, KY · On-site

$82K - $113K/yr

Day-to-day responsibilities include supporting design activities for automotive control systems ... Have embedded H/W design experience for automotive applications * Understand analog and digital ...

Astemo Ltd

Sr. Engineer

Harrodsburg, KY · On-site

$82K - $113K/yr

Day-to-day responsibilities include supporting design activities for automotive control systems ... Have embedded H/W design experience for automotive applications * Understand analog and digital ...

Designeers Midwest

UX Designer

Lexington, KY

Our contract personnel include Engineers and Designers skilled in Mechanical, Electrical ... system is desirable - Experience in an embedded environment is a plus - Portfolio of design ...

Hitachi Careers

MFG Solution Architect-68458

Lexington, KY

$53.50 - $70.25/hr

... systems. We drive digital transformation by enabling connected manufacturing, predictive ... Collaborate with business stakeholders, plant engineers, operations teams, and IT leaders to define ...

New

Varsity Tutors

Electronics Tutor

Lexington, KY · Remote

$18 - $40/hr

... engineering coursework and electronics industry careers. * Conceptual Teaching & Problem-Solving ... systems, and embedded computing. * Curriculum Awareness & Adaptive Instruction: Familiar with ...

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All JobsEmbedded Systems Engineer JobsEmbedded Systems Engineer Jobs in Lexington, KY

Embedded Systems Engineer information

See Lexington, KY salary details

$57.3K

$125.9K

$176K

How much do embedded systems engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for embedded systems engineer in Lexington, KY is $125,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $149,900.00 per year, depending on experience, location, and employer.

What does an embedded systems engineer do?

An embedded systems engineer creates the software to control electronics or machines that are different from regular computers. This software needs to run on the specific hardware it controls. Their duties also include troubleshooting and testing. Essential skills include problem-solving, critical thinking, and communication. Work is typically in an office environment with full-time business hours. Educational qualifications include a bachelor’s or master’s degree in embedded systems engineering or a related field.

What are the key skills and qualifications needed to thrive as an embedded systems engineer, and why are they important?

To thrive as an Embedded Systems Engineer, you need strong proficiency in C/C++ programming, embedded hardware knowledge, and a degree in electrical engineering, computer engineering, or a related field. Familiarity with real-time operating systems (RTOS), microcontroller development platforms, and debugging tools like oscilloscopes and logic analyzers is typically required. Problem-solving, attention to detail, and effective teamwork are critical soft skills for success in this role. These skills and qualities are essential to design reliable embedded solutions that meet strict performance, safety, and efficiency requirements.

Are embedded systems engineers in demand?

Embedded systems engineers are in high demand due to the growth of IoT, automotive, healthcare, and consumer electronics industries. They typically require skills in programming languages like C and C++, and knowledge of hardware integration, with job opportunities expected to increase as embedded technology becomes more widespread.

What is the difference between Embedded Systems Engineer vs Firmware Engineer?

AspectEmbedded Systems EngineerFirmware Engineer
CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; certifications like Certified Embedded Systems EngineerBachelor's in Computer Engineering, Electrical Engineering; certifications like Certified Firmware Engineer
Work EnvironmentDesigning and developing embedded hardware/software for devices like automotive, medical, consumer electronicsWriting low-level code to optimize firmware for microcontrollers and embedded devices
Industry UsageUsed across automotive, aerospace, consumer electronics, industrial automationPrimarily in consumer electronics, IoT devices, and embedded hardware products

Both roles focus on embedded development but differ in scope. Embedded Systems Engineers work on both hardware and software integration, while Firmware Engineers specialize in writing low-level code for device firmware. Understanding these distinctions helps in choosing the right career path or job search focus.

What are some common challenges an embedded systems engineer faces when integrating hardware and software components?

Embedded Systems Engineers often encounter challenges when ensuring that hardware and software components work seamlessly together. These can include dealing with limited memory and processing power, timing constraints, and real-time performance requirements. Troubleshooting issues that arise from hardware-software interactions—such as driver compatibility, signal integrity, or power management—requires strong problem-solving skills and close collaboration with hardware designers and software developers. Engineers must frequently debug at both the hardware and code level, making attention to detail and cross-disciplinary communication essential in this role.

What is an embedded systems engineer?

Embedded Systems Engineers are professionals who design, develop, and maintain embedded systems—specialized computing systems that perform dedicated functions within larger mechanical or electrical systems. These engineers work with both hardware and software, often programming microcontrollers or microprocessors to control devices like automobiles, medical equipment, consumer electronics, and industrial machines. Their expertise ensures devices are efficient, reliable, and optimized for specific tasks, making embedded systems a crucial part of modern technology.
More about Embedded Systems Engineer jobs
What are the most commonly searched types of Embedded Systems Engineer jobs in Lexington, KY? The most popular types of Embedded Systems Engineer jobs in Lexington, KY are:
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What job categories do people searching Embedded Systems Engineer jobs in Lexington, KY look for? The top searched job categories for Embedded Systems Engineer jobs in Lexington, KY are:
What cities near Lexington, KY are hiring for Embedded Systems Engineer jobs? Cities near Lexington, KY with the most Embedded Systems Engineer job openings:
Embedded Systems Engineer jobs near you
Infographic showing various Embedded Systems Engineer job openings in Lexington, KY as of July 2026, with employment types broken down into 82% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $135,290 per year, or $65 per hour.

Manufacturing Innovation Advanced Technology Engineer

TECKNOMIC LLC

Georgetown, KY • On-site

$65K - $84K/yr

Other

Posted 2 days ago

New

Job description

Please Read Before Applying

  • 5+ years in industrial machine vision and edge AI deployment
  • Proficiency in Python and C++ with ML frameworks (PyTorch, TensorFlow)
  • Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT)
  • Hands-on Docker containerization and Kubernetes orchestration
  • Onsite in Georgetown, KY; able to travel internationally as needed

About the Role

A leading automotive manufacturer’s Manufacturing Innovation / Advanced Technology group is seeking an Advanced Technology Engineer to develop and deploy production-grade machine learning and computer vision models for industrial inspection across high-volume manufacturing lines. You will accelerate model development with synthetic data, deliver containerized software optimized for edge hardware, and integrate robust AI solutions into manufacturing systems to improve competitiveness.

Responsibilities

  • Design and implement computer vision models for defect detection, segmentation, and classification
  • Accelerate training cycles using synthetic data, active learning, and domain randomization
  • Package models/services with Docker and manage deployments through Kubernetes or equivalent orchestration
  • Implement version control, rollback, and observability for latency, drift, and false-positive/negative metrics
  • Optimize inference for edge/embedded hardware (e.g., NVIDIA Jetson, Intel accelerators) for real-time moving-line inspection
  • Ensure consistent performance under varying lighting, optics, and surface conditions
  • Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST
  • Align deployments with plant-level connectivity and reliability standards
  • Lead data collection campaigns, manage annotation workflows, and establish quality gates for validation
  • Ensure uptime via proactive monitoring, calibration (MSA), drift detection, and root cause analysis
  • Lead and manage projects from concept to launch (schedules, punch lists, milestones)
  • Collaborate across manufacturing centers, corporate technical/R&D centers, IT, and automation teams

Required Qualifications

  • Bachelor’s degree in EE, ME, Computer Science, IT, or a related field
  • 5 years of experience in industrial machine vision and edge AI deployment
  • Python and C++ with strong knowledge of ML frameworks (PyTorch, TensorFlow)
  • Containerization (Docker) and orchestration (Kubernetes)
  • ONNX Runtime, TensorRT, and optimization for embedded hardware
  • Integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT)
  • Full model lifecycle: data collection, labeling, validation, rollout, monitoring, retraining
  • Object detection, classification, and segmentation (semantic/instance models)
  • Industrial cameras, lighting, optics, and trigger-based image capture
  • Balancing inspection accuracy with false positives vs. flow-out risk
  • Project management (scope, schedules, vendor/contractor management, status updates)
  • Ability to travel domestically and internationally (Canada, Mexico, Japan) as needed

Technical Skills

  • Python
  • C++
  • PyTorch
  • TensorFlow
  • Computer Vision (detection, segmentation, classification)
  • Edge AI (NVIDIA Jetson, Intel accelerators)
  • ONNX Runtime
  • TensorRT
  • Docker
  • Kubernetes
  • OPC-UA
  • MQTT
  • REST
  • PLC integration
  • Industrial cameras / optics
  • Synthetic data / domain randomization
  • MLOps

Preferred Qualifications

  • Master’s or advanced degree in engineering or a related field
  • Academic research experience in new technology
  • Project management involving internal and external parties (6+ months)
  • Equipment deployment including PFMEA and quality control plans
  • Deploying automotive production equipment
  • Robotics — operation, teaching, maintenance, and safety
  • Synthetic data generation (GANs, VAEs, NeRFs, Blender) and domain randomization
  • High-speed inline inspection and vision-based process control
  • IIoT data pipelines and messaging standards
  • Calibration, measurement system analysis (MSA), and quality-critical inspection

Must-Have Skills

  • Machine Vision
  • Edge AI
  • Computer Vision
  • Python
  • C++
  • PyTorch / TensorFlow
  • Docker / Kubernetes
  • PLC Integration
  • OPC-UA / MQTT
  • MLOps

Monster Skills List

  • Machine Vision
  • Computer Vision
  • Edge AI
  • Deep Learning
  • Machine Learning
  • Python
  • C++
  • PyTorch
  • TensorFlow
  • ONNX
  • TensorRT
  • Object Detection
  • Image Segmentation
  • Classification
  • Defect Detection
  • Docker
  • Kubernetes
  • NVIDIA Jetson
  • MLOps
  • Model Deployment
  • OPC-UA
  • MQTT
  • REST API
  • PLC
  • Industrial Automation
  • Industrial Cameras
  • Synthetic Data
  • Domain Randomization
  • GANs
  • MSA
  • IIoT

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