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Remote Automotive Engineer Jobs in Colorado (NOW HIRING)

Eliassen Group

Senior AI/ML Engineer

Denver, CO · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description * Recommended Jobs Description: Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud ...

OpenEd

Product Engineer

Denver, CO · On-site +1

$130/hr

As a Product Engineer at OpenEd, you'll work on a small, high-impact team building new features and ... Ability to work effectively in a remote environment * Strong communication and collaboration skills ...

Focused HR Solutions

8-11-Test Engineer

Denver, CO · Remote

$50 - $65/hr

Position Overview: * 100% remote must live in CO at the time of the hire. * Candidate should be ... Our direct client has an opening for a Test Engineer 61331 * This position is up to 9 months with ...

Forge Global

Staff Quality Engineer

Denver, CO · On-site +1

$155K - $170K/yr

The Role Forge Quality Engineering team's charter is to improve product quality. We thrive on ... This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we ...

NetApp

Lustre Engineer

Boulder, CO · Remote

$110K - $151K/yr

Software Engineer thrives as part of a high-performance team tasked with finding creative solutions ... It is likely this position will need to be hired as remote to attract the ideal candidate.

Kiewit Corporation

Senior Fire Life Safety Engineer

Arvada, CO · On-site +1

$107K - $147K/yr

Some consideration may be made for highly skilled and Lead engineers in other remote locations. We offer relocation to our district office in Lenexa Kansas. Responsibilities Provide fire protection ...

Invoca

Senior ML Engineer

Denver, CO · On-site +1

$107K - $147K/yr

Senior ML Engineer About Invoca Invoca is an AI-powered revenue execution platform that brings ... Familiarity with RLHF or preference training is a bonus 📍 Location This is a remote-first role.

Eliassen Group

Senior AI/ML Engineer

Almont, CO · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

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All JobsRemote Automotive Engineer JobsRemote Automotive Engineer Jobs in Colorado

Remote Automotive Engineer information

See Colorado salary details

$13

$58

$84

How much do remote automotive engineer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for remote automotive engineer in Colorado is $58.88, according to ZipRecruiter salary data. Most workers in this role earn between $42.21 and $78.37 per hour, depending on experience, location, and employer.

What are some unique challenges of working as a Remote Automotive Engineer, and how are they typically addressed?

One unique challenge for Remote Automotive Engineers is limited direct access to physical prototypes, making it essential to rely on digital modeling and remote collaboration tools. Teams often address this by using advanced simulation software, regular video meetings, and detailed documentation to ensure everyone remains aligned. Additionally, engineers may schedule periodic site visits when hands-on work is required. Employers usually provide robust IT support and access to remote testing environments to enable productive remote work. Proactive communication and clear workflow processes are key to overcoming these challenges and maintaining high engineering standards.

What is a Remote Automotive Engineer job?

A Remote Automotive Engineer designs, develops, and tests vehicle systems and components while working remotely. They use CAD software, simulation tools, and collaboration platforms to contribute to automotive projects without being physically present in a manufacturing or testing facility. Responsibilities may include vehicle design, performance analysis, troubleshooting, and ensuring compliance with safety standards. This role often requires coordination with teams across different locations to develop innovative automotive solutions.

What are the key skills and qualifications needed to thrive in the Remote Automotive Engineer position, and why are they important?

To thrive as a Remote Automotive Engineer, you need a solid background in automotive engineering, mechanical or electrical systems, and proficiency in CAD and simulation tools, typically supported by a relevant engineering degree. Familiarity with industry-standard software such as CATIA, SolidWorks, MATLAB/Simulink, and possibly automotive safety certifications (like ISO 26262) is highly valued. Excellent problem-solving ability, self-motivation, and effective remote communication skills set successful candidates apart. These skills are critical for designing innovative automotive solutions, collaborating virtually with teams, and ensuring high-quality project outcomes.

What are the most commonly searched types of Automotive Engineer jobs in Colorado? The most popular types of Automotive Engineer jobs in Colorado are:
What are popular job titles related to Remote Automotive Engineer jobs in Colorado? For Remote Automotive Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Automotive Engineer jobs in Colorado look for? The top searched job categories for Remote Automotive Engineer jobs in Colorado are:
Remote Automotive Engineer jobs near you
Infographic showing various Remote Automotive Engineer job openings in Colorado as of June 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,463 per year, or $58.9 per hour.
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Colorado Springs, CO • On-site, Remote

Full-time

Posted 10 hours ago

Job description

Overview
FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.
FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Education/Qualifications
Minimum Requirements:
  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

Preferred Qualifications:
  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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