Top 71 Modeling engineer Jobs in Fort Collins, Co

AI Data Foundation Research Engineer
Hewlett Packard Enterprise —Fort Collins, CO
- $126,500 - $240,500 a year
- Full-time
- Computer Science
- Office
- 3 years
Industrial Engineer
Broadcom —Fort Collins, CO
- $90,000 - $144,000 a year
- Full-time
- Master's degree
- 8 years
- SQL
- Employee stock purchase plan
- Paid holidays
Systems Engineer
Persistent Systems —Fort Collins, CO
- $117,000 - $146,000 a year
- Full-time
- Mid-level
- Office
- Java
- Disability insurance
- Health insurance
Reliability Engineering Manager
MESA POWER SOLUTIONS LLC —Loveland, CO
- $167,000 - $188,000 a year
- Full-time
- Background check
- 6 years
- Engineering
- Paid holidays
- Disability insurance
Quick Apply
Full Stack Software Engineer -React, C#.NET & Azure Cloud
Ledgent Technology —Loveland, CO
- $50 - $80 an hour
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
Quick Apply
6d
Full Stack Software Engineer - React, .NET & Azure Cloud
Ledgent Technology —Loveland, CO
- $50 - $80 an hour
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
Quick Apply
6d
Group Manager - Stormwater / Capital Improvement Projects (CIP)
ESP Associates —Fort Collins, CO
- $125,000 - $180,000 a year
- Full-time
- Background check
- Civil engineering
- Bachelor of Science
- Paid holidays
- Disability insurance
Quick Apply
IC Package Mechanical FEA Engineer (R&D)
Broadcom —Fort Collins, CO
- $108,000 - $172,800 a year
- Full-time
- 3 years
- Master's degree
- Doctor of Philosophy
- Employee stock purchase plan
- Paid holidays
Project Engineer
NOCO Engineering Company —Fort Collins, CO
- From $70,000 a year
- Full-time
- AutoCAD
- Civil engineering
- English
- Health insurance
- 401(k)
Quick Apply
12d
Data Analytics Engineer
BillGO, Inc. —Fort Collins, CO
- $102,000 - $146,900 a year
- Full-time
- 3 years
- SQL
- Senior level
- Health insurance
Quick Apply
STA Engineer
Broadcom —Fort Collins, CO
- $129,400 - $207,000 a year
- Full-time
- 5 years
- Master's degree
- Fair chance
- Employee stock purchase plan
- Paid holidays
Civil Engineer III, Traffic
City of Fort Collins —Fort Collins, CO
- $87,211 - $145,350 a year
- Full-time
- Hybrid work
- Background check
- Construction site
- 5 years
- Wellness program
- Paid holidays
Traffic Engineer - Entry-level
Ayres —Fort Collins, CO
- $74,000 - $85,000 a year
- Civil engineering
- Data analysis skills
- Analysis skills
- Paid holidays
- Disability insurance
Quick Apply
Lead Engineer- Metrology
Advanced Energy Industries, Inc. —Fort Collins, CO
- $150,000 - $200,000 a year
- Email
- 6 years
- Bachelor of Science
- Office
- Paid parental leave
- Employee stock purchase plan
Development Engineer II
Ursa Major —Berthoud, CO
- $90,000 - $115,000 a year
- Full-time
- Data analysis skills
- Mid-level
- Organizational skills
- Paid parental leave
- Health savings account
Quick Apply
10d
High-Performance Computing Software Engineer for Porous Media Simulations
Digital Pore Solutions —Fort Collins, CO
- $100,000 - $135,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Engineering
- Relocation assistance
- Health insurance
Quick Apply
4d
Water Resources Engineer, Mid-Level - WR0021
Felsburg Holt & Ullevig —Fort Collins, CO
- $90,000 - $130,000 a year
- Full-time
- Mid-level
- Office
- Master's degree
- Profit sharing
- Paid parental leave
Quick Apply
Chief Engineer, Radar
Anduril Industries —Fort Collins, CO
- $219,000 - $290,000 a year
- Email
- Analysis skills
- Travel
- Experience equivalent to degree accepted
Quick Apply
Structural Project Engineer
JVA, Incorporated —Fort Collins, CO
- $90,000 - $105,000 a year
- Email
- Management
- Mid-level
- Office
Geotechnical Engineer
Ayres —Fort Collins, CO
- $135,000 - $198,000 a year
- Clean driving record
- Microsoft Excel
- Laboratory experience
- Paid holidays
- Disability insurance
Quick Apply

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modeling engineer jobs near fort collins, co

AI Data Foundation Research Engineer

Hewlett Packard Enterprise -
Fort Collins, CO

Apply Now

Job Details

Full-time
$126,500 - $240,500 a year

Qualifications

AI models
Generative models
AI platforms (beyond public GPTs)
Computational framework
Maintaining data pipelines
Machine intelligence
Doctor of Philosophy
Developing large-scale AI models
Engineering research
Technical research projects
Metadata
Machine learning libraries
Machine learning frameworks
MLOps
Generative AI
Metadata management

Full Job Description

AI Data Foundation Research Engineer

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Successful candidate will develop new methods for context discovery, retrieval, filtering, prioritization, multi-modal data representation, advanced reasoning, tool calling, and reasoning trace validation in conversational, deep research, and agentic AI workflows. Successful candidate will also work on development of capture, management, search, enhancement and interpretation of meta-data and lineage for AI pipelines that enable reproducibility, reuse and optimization of pipelines; discovery, selection and usage of relevant high quality data for trustworthy AI outcomes across multiple AI applications; development, evaluation and testing of Foundation AI models for different modalities: Natural Language Processing - NLP, Large Language Models - LLM, Time Series Analysis, Computer Vision, AI for Science, etc., and augmentation of AI models with structured knowledge (i.e., knowledge infused learning). We are particularly interested in individuals with a background in computer systems, machine learning, deep learning, statistics, generative AI, data management, and big data pipelines, with good understanding of the current state of the art, major trends and opportunities, and a demonstrated track record in innovative research. The ideal candidate can thrive in an applied research environment, balancing significant technical contributions published externally in open source with the hands-on engineering skill to bring such contributions to practice in partnering with our internal software development teams and external partners.

Must-have Requirements

PhD in Computer Science or related fields with a focus on data engineering and data science, in particular Machine Learning, Deep Learning, and/or data management for AI, plus 3 years of relevant industry experience.
Research experience in Generative AI, Deep Learning and Machine Learning
Experience with advanced AI model architectures: LLMs, Time Series Foundation Models, Diffusion Models, etc.
Expertise with end-to-end pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines (e.g., DVC, Pachyderm, Common Metadata Framework)
Experience in AI model development lifecycle, ML/deep learning frameworks and MLOps platforms (e.g. Pytorch/Tensorflow, MLFlow, Kubeflow, Ray)
Experience with agentic AI platforms (e.g., LangGraph, CrewAI, ADK, LlamaIndex, etc.)

Preferred Skills

Strong programming skills in Python with high proficiency in data structures and algorithms. C/C++ skills
Experience with CI/CD code development
Outstanding analytical and problem-solving skills
Experience with hybrid AI-HPC workflows (e.g., AI surrogate modeling, computational steering of experiments)
Experience with knowledge graphs and knowledge infused learning
Expertise in research of data and workflow management systems
Experience in system software performance and scalability optimization
Experience with multi-threaded programming, parallel processing, OOD/OOP/distributed programming
Experience in containerized development and orchestration tools (e.g. Kubernetes, Ezmeral)

Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates

Job:

Engineering

Job Level:

TCP_03

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 126,500 - 240,500 in Colorado
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is June 1 2026; this timeline is provided for transparency and internal planning purposes.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Apply Now

Refine Your Search

modeling engineer jobs in fort collins, co

AI Data Foundation Research Engineer

Industrial Engineer

Systems Engineer

Reliability Engineering Manager

Full Stack Software Engineer -React, C#.NET & Azure Cloud

Full Stack Software Engineer - React, .NET & Azure Cloud

Group Manager - Stormwater / Capital Improvement Projects (CIP)

IC Package Mechanical FEA Engineer (R&D)

Project Engineer

Data Analytics Engineer

STA Engineer

Civil Engineer III, Traffic

Traffic Engineer - Entry-level

Lead Engineer- Metrology

Development Engineer II

High-Performance Computing Software Engineer for Porous Media Simulations

Water Resources Engineer, Mid-Level - WR0021

Chief Engineer, Radar

Structural Project Engineer

Geotechnical Engineer

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