Software Engineer AI Jobs in Colorado
Software Engineer AI jobs in Colorado are concentrated in Denver, Boulder, and Colorado Springs, where employers like Google, Lockheed Martin, and Oracle have established engineering operations that consistently hire at every level from early-career to senior. The most in-demand specialties are machine learning engineering, natural language processing, and applied AI research, reflecting the state's strength in aerospace, defense tech, and cloud-native software. Colorado ranks among the most active markets in the country for AI-focused engineering talent. Scan the live roles below and apply to whichever ones fit.
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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.
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.
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
This position is on-site in Colorado Springs, Colorado
Export controls
US Person/ITAR
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
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.
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.
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
This position is on-site in Colorado Springs, Colorado
Export controls
US Person/ITAR
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
See All 12 Software Engineer AI Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Software Engineer AI JobsSoftware Engineer AI Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Software Engineer AI Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Automotive
- Manufacturing
- Agriculture & Farming
- Electronics & Hardware
- Construction & Real Estate
What Colorado Employers Look For
The qualifications that appear most often in software engineer AI jobs across Colorado.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Hands-on experience building and deploying machine learning models in production environments
- Proficiency in Python and at least one ML framework such as TensorFlow or PyTorch
- Familiarity with cloud infrastructure on AWS, Google Cloud, or Azure for AI workloads
- Experience with data pipelines, feature engineering, and model evaluation methodologies
- Strong communication skills for collaborating with cross-functional product and research teams
Software Engineer AI Jobs in Colorado: Frequently Asked Questions
How do you become a software engineer ai in Colorado?
Software engineer ai roles in Colorado do not require a state-issued license or registration. The standard path is a bachelor's or master's degree in computer science, machine learning, or a closely related field, followed by hands-on project experience or an internship at one of Colorado's many tech, aerospace, or defense employers. Building a portfolio of deployed ML models and contributing to open-source projects strengthens a candidacy considerably before the first application.
How much do software engineer AIs make in Colorado?
Software engineer AIs in Colorado earn a median of about $138,390 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $96,480 for the lowest 10% to over $213,010 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire software engineer ais in Colorado?
Companies currently hiring software engineer ais in Colorado include Fivetran, Mears Group, and Trimble, per current listings on Migrate Mate as of August 2026. Colorado's mix of defense contractors, cloud technology firms, and AI-focused startups along the Front Range means hiring tends to be consistent across both enterprise and growth-stage employers.
Which Colorado cities have the most software engineer ai jobs?
Denver, Englewood, and Colorado Springs have the most software engineer ai openings in Colorado. Denver leads because of its dense concentration of technology companies, defense contractors, and corporate headquarters, while Boulder's university research ecosystem anchors applied AI work, and Colorado Springs draws demand from the military and aerospace institutions based there.
Are there remote software engineer ai jobs in Colorado?
Yes, and more than most fields, given that software engineer ai work is largely computer-based and location-independent. About 63% of software engineer ai openings tied to Colorado are remote or hybrid as of August 2026, reflecting broad employer acceptance of distributed AI teams. Roles focused on model development, research, and MLOps tend to be the most amenable to fully remote arrangements.
How can I get hired as a software engineer ai in Colorado with little or no experience?
The most realistic entry path is securing an AI or data engineering internship through one of Colorado's large employers such as Lockheed Martin, Google, or Oracle, which run structured early-career programs in the Denver and Boulder areas. Candidates without industry experience can also move laterally from adjacent roles like data analyst or backend software engineer. A portfolio of independent ML projects, a relevant master's degree from the University of Colorado, or completion of a recognized AI certification significantly strengthens an entry-level application in Colorado's competitive market.
Where can I find and apply to software engineer ai jobs in Colorado?
You can find and apply to software engineer ai jobs in Colorado on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings, find the roles that match your background and location, and apply directly to the ones that fit.
See All 12 Software Engineer AI Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Software Engineer AI Jobs