AI Research Engineer Jobs in Colorado
AI Research Engineer jobs in Colorado are in strong and growing demand, concentrated in defense and aerospace, cloud computing, and university-affiliated research, with openings ranging from early-career engineers to senior principal roles. Denver, Boulder, and Colorado Springs account for the bulk of hiring, anchored by employers like Lockheed Martin, Google, and Raytheon Technologies who maintain substantial research and engineering operations in the state. The most sought-after specialties include deep learning infrastructure, natural language processing, and AI systems integration for aerospace and defense applications. Scan the live roles below and apply to whichever ones fit.
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Description -
Job Summary
This role is responsible for defining, planning, and executing the product strategy, collaborating with various teams to deliver software solutions that delight customers and meet business goals. The role plans and manages technical programs or projects, effectively steering them to meet specific roadmap and feature objectives. The role develops a comprehensive software vision and roadmap for product initiatives.
Key Responsibilities
Strategic Positioning & Messaging
- Own the messaging framework, value proposition, and competitive positioning for HP AI solutions within the Higher Education & Research segment.
- Define differentiated narratives for universities, research institutions, faculty, researchers, AI centers of excellence, and IT decision makers.
- Translate complex technologies including AI infrastructure, GPUs, workstations, AI software, hybrid AI environments, and agentic AI frameworks into business and research outcomes.
- Serve as the market expert for AI adoption trends, research computing needs, and emerging higher education priorities.
- Influence portfolio and roadmap decisions by bringing market insights, customer feedback, and competitive intelligence to cross-functional teams.
Go-to-Market Strategy & Execution
- Lead end-to-end go-to-market strategy for AI solutions targeting Higher Education and Research customers.
- Develop segment strategies, audience prioritization, launch plans, and growth initiatives aligned to business objectives.
- Partner with regional teams to drive adoption, pipeline creation, and customer engagement.
- Establish success metrics, track market performance, and continuously optimize GTM effectiveness.
- Drive alignment across product, marketing, sales, and partner organizations to ensure consistent execution.
Sales & Partner Enablement
- Own the development of strategic sales enablement assets, playbooks, solution briefs, competitive positioning, and executive presentations.
- Equip field teams with the messaging, tools, and insights required to effectively position HP AI solutions against competitors.
- Develop reference architectures, use case frameworks, and customer success stories demonstrating measurable value.
- Collaborate with alliance partners, ISVs, hardware providers, and AI ecosystem partners to strengthen HP's market position.
- Act as a trusted advisor to sales leadership on market trends, customer requirements, and competitive strategies.
Market Intelligence & Thought Leadership
- Monitor industry trends, emerging technologies, funding initiatives, competitive movement, and adoption of AI across higher education and research organizations.
- Conduct voice-of-customer programs and synthesize findings into actionable business recommendations.
- Represent HP at industry events, customer engagements, analyst briefings, and thought leadership opportunities.
- Develop market insights that inform investment priorities, product strategy, and future solution development.
- Establish HP as a recognized thought leader in AI infrastructure and solutions for Higher Education and Research.
Business Impact & Launch Leadership
- Lead complex product and solution launches across multiple stakeholder groups.
- Drive readiness across sales, marketing, and partner organizations.
- Influence revenue growth, pipeline development, customer adoption, and market awareness through strategic marketing initiatives.
- Measure and communicate business impact using data-driven metrics and executive-level reporting. Mentor and provide guidance to less experienced marketing team members.
Education & Experience Recommended
- Bachelor's degree in Computer Science, Engineering, Data Science, Marketing, Business, or a related field.
- Typically 10+ years of experience in product marketing, product management, solutions marketing, technical marketing, or related GTM roles.
- Demonstrated experience marketing AI, high-performance computing, enterprise infrastructure, cloud, software, data analytics, or emerging technologies.
- Deep understanding of AI ecosystems, including generative AI, agentic AI, AI model development, inference, data pipelines, and AI infrastructure.
- Proven ability to develop compelling technical and business narratives for executive, technical, and practitioner audiences.
- Experience leading cross-functional initiatives across product, sales, engineering, marketing, and partner organizations.
- Strong executive communication, storytelling, and presentation skills.
- Demonstrated ability to influence without authority and drive alignment across complex organizations. Strong analytical skills and experience translating market insights into actionable GTM strategies.
Preferred Certifications
NA
Knowledge & Skills
- Agile Methodology
- Automation
- Change Management
- Computer Science
- Continuous Improvement Process
- JIRA
- Kanban Principles
- Lean Manufacturing
- Milestones (Project Management)
- New Product Development
- Process Improvement
- Product Management
- Project Engineering
- Project Management
- Project Planning
- Project Schedules
- Risk Management
- Scrum (Software Development)
- Software Development
- Sprint Planning
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impact & Scope
- Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
- Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
- This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Compensation and Benefits
The pay range for this role is 116,150.00 - 171,350.00 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave ( US benefits overview )
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
SoftwareSchedule -
Full timeShift -
No shift premium (United States of America)Travel -
25%Relocation -
YesEqual Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
Description -
Job Summary
This role is responsible for defining, planning, and executing the product strategy, collaborating with various teams to deliver software solutions that delight customers and meet business goals. The role plans and manages technical programs or projects, effectively steering them to meet specific roadmap and feature objectives. The role develops a comprehensive software vision and roadmap for product initiatives.
Key Responsibilities
Strategic Positioning & Messaging
- Own the messaging framework, value proposition, and competitive positioning for HP AI solutions within the Higher Education & Research segment.
- Define differentiated narratives for universities, research institutions, faculty, researchers, AI centers of excellence, and IT decision makers.
- Translate complex technologies including AI infrastructure, GPUs, workstations, AI software, hybrid AI environments, and agentic AI frameworks into business and research outcomes.
- Serve as the market expert for AI adoption trends, research computing needs, and emerging higher education priorities.
- Influence portfolio and roadmap decisions by bringing market insights, customer feedback, and competitive intelligence to cross-functional teams.
Go-to-Market Strategy & Execution
- Lead end-to-end go-to-market strategy for AI solutions targeting Higher Education and Research customers.
- Develop segment strategies, audience prioritization, launch plans, and growth initiatives aligned to business objectives.
- Partner with regional teams to drive adoption, pipeline creation, and customer engagement.
- Establish success metrics, track market performance, and continuously optimize GTM effectiveness.
- Drive alignment across product, marketing, sales, and partner organizations to ensure consistent execution.
Sales & Partner Enablement
- Own the development of strategic sales enablement assets, playbooks, solution briefs, competitive positioning, and executive presentations.
- Equip field teams with the messaging, tools, and insights required to effectively position HP AI solutions against competitors.
- Develop reference architectures, use case frameworks, and customer success stories demonstrating measurable value.
- Collaborate with alliance partners, ISVs, hardware providers, and AI ecosystem partners to strengthen HP's market position.
- Act as a trusted advisor to sales leadership on market trends, customer requirements, and competitive strategies.
Market Intelligence & Thought Leadership
- Monitor industry trends, emerging technologies, funding initiatives, competitive movement, and adoption of AI across higher education and research organizations.
- Conduct voice-of-customer programs and synthesize findings into actionable business recommendations.
- Represent HP at industry events, customer engagements, analyst briefings, and thought leadership opportunities.
- Develop market insights that inform investment priorities, product strategy, and future solution development.
- Establish HP as a recognized thought leader in AI infrastructure and solutions for Higher Education and Research.
Business Impact & Launch Leadership
- Lead complex product and solution launches across multiple stakeholder groups.
- Drive readiness across sales, marketing, and partner organizations.
- Influence revenue growth, pipeline development, customer adoption, and market awareness through strategic marketing initiatives.
- Measure and communicate business impact using data-driven metrics and executive-level reporting. Mentor and provide guidance to less experienced marketing team members.
Education & Experience Recommended
- Bachelor's degree in Computer Science, Engineering, Data Science, Marketing, Business, or a related field.
- Typically 10+ years of experience in product marketing, product management, solutions marketing, technical marketing, or related GTM roles.
- Demonstrated experience marketing AI, high-performance computing, enterprise infrastructure, cloud, software, data analytics, or emerging technologies.
- Deep understanding of AI ecosystems, including generative AI, agentic AI, AI model development, inference, data pipelines, and AI infrastructure.
- Proven ability to develop compelling technical and business narratives for executive, technical, and practitioner audiences.
- Experience leading cross-functional initiatives across product, sales, engineering, marketing, and partner organizations.
- Strong executive communication, storytelling, and presentation skills.
- Demonstrated ability to influence without authority and drive alignment across complex organizations. Strong analytical skills and experience translating market insights into actionable GTM strategies.
Preferred Certifications
NA
Knowledge & Skills
- Agile Methodology
- Automation
- Change Management
- Computer Science
- Continuous Improvement Process
- JIRA
- Kanban Principles
- Lean Manufacturing
- Milestones (Project Management)
- New Product Development
- Process Improvement
- Product Management
- Project Engineering
- Project Management
- Project Planning
- Project Schedules
- Risk Management
- Scrum (Software Development)
- Software Development
- Sprint Planning
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impact & Scope
- Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
- Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
- This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Compensation and Benefits
The pay range for this role is 116,150.00 - 171,350.00 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave ( US benefits overview )
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
SoftwareSchedule -
Full timeShift -
No shift premium (United States of America)Travel -
25%Relocation -
YesEqual Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
See All 7 AI Research Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find AI Research Engineer JobsAI Research Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
AI Research Engineer Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring
What Colorado Employers Look For
The qualifications that appear most often in AI research engineer jobs across Colorado.
- Master's or PhD in computer science, machine learning, or a related field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and training large-scale machine learning models
- Ability to obtain or maintain a U.S. security clearance for defense-sector roles
- Strong publication record or demonstrated research contributions in AI or ML
- Experience deploying models to production environments using MLOps best practices
AI Research Engineer Jobs in Colorado: Frequently Asked Questions
How do you become an ai research engineer in Colorado?
The most direct path is completing a master's or doctoral degree in computer science, machine learning, or a closely related field, then building a portfolio of research or applied ML projects. Colorado has no state-issued license for this role, so hiring decisions turn on education, published or demonstrable research, and technical skills. Many Colorado employers in aerospace and defense additionally require candidates to be eligible for a federal security clearance, which involves a background investigation conducted at the federal level.
How much do AI research engineers make in Colorado?
AI research engineers in Colorado earn a median of about $133,160 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $84,660 for the lowest 10% to over $215,090 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai research engineers in Colorado?
Companies currently hiring ai research engineers in Colorado include Google, HP, and Torch Technologies, per current listings on Migrate Mate as of November 2026. Colorado's blend of defense contractors, cloud technology campuses, and university research partnerships makes the state one of the more varied markets for this role outside the coastal tech centers.
Which Colorado cities have the most ai research engineer jobs?
Boulder, Fort Collins, and Aurora have the most ai research engineer openings in Colorado. Denver's size and its concentration of technology companies and corporate headquarters drive the largest share of listings, Boulder's research university ecosystem and startup density make it a consistent second hub, and Colorado Springs draws demand from the substantial defense and aerospace contractors based near military installations in that area.
Are there remote ai research engineer jobs in Colorado?
Yes, and more than most fields. About 0% of ai research engineer openings tied to Colorado are remote or hybrid as of November 2026, reflecting how much of the role involves writing code, running experiments, and analyzing results rather than working with physical equipment. The exception is defense-sector roles that require work on classified systems inside a secure facility, which are almost always fully on-site.
How can I get hired as an ai research engineer in Colorado with little or no experience?
The most realistic entry path is a research assistantship or graduate program at the University of Colorado Boulder or Colorado School of Mines, both of which place students directly into industry collaborations with Colorado employers. From there, look for titles like junior machine learning engineer, AI associate, or research associate at companies like Lockheed Martin or Google's Boulder office, which run structured new-graduate hiring programs. A strong GitHub portfolio demonstrating end-to-end ML projects and any published work, even a conference paper or preprint, meaningfully improves competitiveness against candidates with internship experience.
Where can I find and apply to ai research engineer jobs in Colorado?
You can find and apply to ai research engineer jobs in Colorado on Migrate Mate, which lists current Colorado openings. Search the listings, find the roles that match your background and target location, and apply directly to the ones that fit.
See All 7 AI Research Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find AI Research Engineer Jobs