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Embedded Ai Engineer Jobs in Colorado (NOW HIRING)

Hands-On AI Security Engineering Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC ...

Principal AI/ML Engineer

Englewood, CO · On-site

$75 - $80.15/hr

Architect scalable end-to-end AI/ML systems across cloud, enterprise, edge, and embedded ... Guide engineering trade studies, technology selection, and system-level design decisions. AI/ML ...

AI Security Engineer

Denver, CO · On-site

$120 - $160/hr

Work closely with Digital, Data, AI, Security Architecture, Engineering, and Cyber Defense ... Experience with Secure AI controls embedded into enterprise AI initiatives without slowing adoption.

Showing results 41-60

Embedded Ai Engineer information

See Colorado salary details

$73.6K

$161.3K

$183K

How much do embedded ai engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for embedded ai engineer in Colorado is $161,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,300.00 and $181,900.00 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 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 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 popular job titles related to Embedded Ai Engineer jobs in Colorado?

For Embedded Ai Engineer jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Embedded Ai Engineer jobs?

Cities in Colorado with the most Embedded Ai Engineer job openings:

Infographic showing various Embedded Ai Engineer job openings in Colorado as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $161,285 per year, or $77.5 per hour.

AI Software Solutions Engineer - Measurement Instrumentation

Keysight Technologies, Inc.

Colorado Springs, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

50th of 159 rated electronics manufacturers


Job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.


Responsibilities
Role Overview

We are seeking an AI Software Solutions Engineer to join our Digital and Photonics Software R&D team. In this role you will develop and integrate software that brings AI-powered capabilities into digital measurement instrument products. The position calls for solid software engineering skills and hands-on knowledge of Digital and Photonics measurements, together with a strong interest in applying Generative AI and agentic (multi-agent) techniques. Working independently on defined assignments and alongside senior engineers and the Solutions Architect, you will help deliver production-ready features for these products.

Key Responsibilities

Engineering and Delivery

  • Apply Digital and Photonics measurement domain knowledge to design, build, test, and debug software features for products such as sampling and realtime oscilloscopes, BERTs, and AWGs.
  • Determine and develop approaches to assigned features and components, working independently to deliver reliable, well-tested, maintainable software through the full development lifecycle.
  • Implement AI-enabled data flows and features defined by the Solutions Architect and senior engineers — which could include ingestion, preprocessing, feature extraction, model inference, and post-processing — ensuring data integrity and traceability.
  • Contribute to solution and component design reviews, applying software design patterns, performance optimization, and maintainability best practices.
  • Use Git and CI/CD pipelines and write automated tests to ensure quality and repeatable delivery.

Applied AI

  • Learn and apply Generative AI and agentic techniques — prompt engineering, retrieval-augmented generation (RAG), tool/function calling, and multi-step reasoning — to implement product features under the direction of the Solutions Architect and senior engineers.
  • Help evaluate AI components, models, and libraries and integrate the selected approaches into product software.

Team Member

  • Work as a contributing member of a team of Digital and Photonics Measurement domain experts and AI engineers; help plan, estimate, and track your own tasks to meet milestones.
  • Participate in a culture of experimentation, rigorous AI evaluation, and responsible AI development.

Cross-Functional Collaboration

  • Coordinate with Product Management, QA, and validation to clarify requirements and ensure features are reliable, explainable, and auditable.
  • Communicate progress, risks, and technical questions clearly to your team and the Project Manager.

Qualifications
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related field, and typically 4-5 years of relevant software development experience.
  • Working knowledge of, or hands-on exposure to, Digital and Photonics measurement instruments (e.g., oscilloscopes, BERTs, AWGs) — or a strong foundation in a closely related measurement or signal-processing domain with the ability to ramp quickly.
  • Proficiency in one or more modern software languages such as C++, C#, Python, Rust, or Java.
  • Experience with Git and CI/CD pipeline workflows.
  • Solid grounding in software design patterns, testing, and debugging, with the ability to work independently on defined assignments.
  • Demonstrated experience delivering software components into production or product environments.
  • Familiarity with — and a strong desire to learn — how AI-powered software is built (e.g., retrieval-augmented generation and agentic techniques).
Preferred Qualifications
  • Experience developing instrument, embedded, or real-time software, including hardware/software integration or signal-processing pipelines.
  • Hands-on exposure to AI/ML libraries or agentic frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar orchestration toolkits.
  • Exposure to deploying AI/ML models on edge or embedded platforms.
  • Familiarity with responsible AI practices and explainability tooling (e.g., SHAP, LIME).
  • Strong communication skills and the ability to collaborate effectively across functions.

Other Information

The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.
California Pay Range MIN $110,740.00 MID $147,650.00 MAX $185,570.00

Note: For other locations, pay ranges will vary by region

This position is on-site in Colorado Springs, Colorado

Relocation is available for this position

Export controls

This position requires access to technology and/or technical data that is subject to U.S. export controls. Candidates need to be a U.S. citizen, lawful permanent resident of the U.S., protected individual under 8 U.S.C. 1324b(a)(3). 

US Person/ITAR

ITAR statement: This position requires access to certain goods, software, technology, or technical data subject to U.S. export control laws and regulations. Under these laws and regulations, U.S. persons (which includes U.S. citizens, U.S. nationals, lawful permanent residents, refugees, and asylees) working for Keysight can access export-controlled items without authorization from the U.S. government. For any individual who is not a U.S. person, Keysight may need authorization from the U.S. Department of State, U.S. Department of Commerce, or other appropriate federal agency before the individual can access export-controlled items. Employment in this position for non-U.S. persons is contingent on Keysight’s ability to obtain any required government authorizations.

US Employees may be eligible for the following benefits:

- Medical, dental and vision

- Health Savings Account

- Health Care and Dependent Care Flexible Spending Accounts

- Life, Accident, Disability insurance

- Business Travel Accident and Business Travel Health

- 401(k) Plan

- Flexible Time Off, Paid Holidays

- Paid Family Leave

- Discounts, Perks

- Tuition Reimbursement

- Adoption Assistance

- ESPP (Employee Stock Purchase Plan)

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

#LI-CS1

Qualifications:Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related field, and typically 4-5 years of relevant software development experience.
  • Working knowledge of, or hands-on exposure to, Digital and Photonics measurement instruments (e.g., oscilloscopes, BERTs, AWGs) — or a strong foundation in a closely related measurement or signal-processing domain with the ability to ramp quickly.
  • Proficiency in one or more modern software languages such as C++, C#, Python, Rust, or Java.
  • Experience with Git and CI/CD pipeline workflows.
  • Solid grounding in software design patterns, testing, and debugging, with the ability to work independently on defined assignments.
  • Demonstrated experience delivering software components into production or product environments.
  • Familiarity with — and a strong desire to learn — how AI-powered software is built (e.g., retrieval-augmented generation and agentic techniques).
Preferred Qualifications
  • Experience developing instrument, embedded, or real-time software, including hardware/software integration or signal-processing pipelines.
  • Hands-on exposure to AI/ML libraries or agentic frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar orchestration toolkits.
  • Exposure to deploying AI/ML models on edge or embedded platforms.
  • Familiarity with responsible AI practices and explainability tooling (e.g., SHAP, LIME).
  • Strong communication skills and the ability to collaborate effectively across functions.

Other Information

The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.
California Pay Range MIN $110,740.00 MID $147,650.00 MAX $185,570.00

Note: For other locations, pay ranges will vary by region

This position is on-site in Colorado Springs, Colorado

Relocation is available for this position

Export controls

This position requires access to technology and/or technical data that is subject to U.S. export controls. Candidates need to be a U.S. citizen, lawful permanent resident of the U.S., protected individual under 8 U.S.C. 1324b(a)(3). 

US Person/ITAR

ITAR statement: This position requires access to certain goods, software, technology, or technical data subject to U.S. export control laws and regulations. Under these laws and regulations, U.S. persons (which includes U.S. citizens, U.S. nationals, lawful permanent residents, refugees, and asylees) working for Keysight can access export-controlled items without authorization from the U.S. government. For any individual who is not a U.S. person, Keysight may need authorization from the U.S. Department of State, U.S. Department of Commerce, or other appropriate federal agency before the individual can access export-controlled items. Employment in this position for non-U.S. persons is contingent on Keysight’s ability to obtain any required government authorizations.

US Employees may be eligible for the following benefits:

- Medical, dental and vision

- Health Savings Account

- Health Care and Dependent Care Flexible Spending Accounts

- Life, Accident, Disability insurance

- Business Travel Accident and Business Travel Health

- 401(k) Plan

- Flexible Time Off, Paid Holidays

- Paid Family Leave

- Discounts, Perks

- Tuition Reimbursement

- Adoption Assistance

- ESPP (Employee Stock Purchase Plan)

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

#LI-CS1

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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