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Remote Automotive Engineering Jobs in Virginia (NOW HIRING)

MBR Partners

Account Manager - Enterprise

Ashburn, VA · On-site +1

The clients help customers across automotive, aerospace, defense, industrial, medical, and ... and/or Engineering and/or IT organizations. * Track Record: Demonstrated track record of growing ...

MBR Partners

Account Manager - Enterprise

Ashburn, VA · Remote

$296K - $332K/yr

The clients help customers across automotive, aerospace, defense, industrial, medical, and ... and/or Engineering and/or IT organizations. * Track Record: Demonstrated track record of growing ...

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All JobsAutomotive Engineering JobsRemote Automotive Engineering JobsRemote Automotive Engineering Jobs in Virginia

Remote Automotive Engineering information

What is remote automotive engineering?

Remote automotive engineering refers to the practice of designing, developing, and testing automotive systems and components from a location outside of a traditional office or laboratory setting. Using advanced software, virtual collaboration tools, and remote access to testing facilities, engineers can contribute to automotive projects from anywhere in the world. This setup enables companies to tap into a wider talent pool and offers engineers more flexibility, while still maintaining high standards in vehicle design, safety, and innovation.

What are the key skills and qualifications needed to thrive as a remote automotive engineer?

To thrive as a Remote Automotive Engineer, you need a solid background in mechanical or electrical engineering, automotive system design, and a relevant engineering degree. Familiarity with CAD software, vehicle simulation tools, and remote collaboration platforms is typically expected, along with certifications like FE or PE being advantageous. Strong problem-solving abilities, self-motivation, and clear communication are vital soft skills for excelling in a remote environment. These skills ensure engineers can effectively design, test, and coordinate projects from a distance, maintaining high standards in both technical performance and teamwork.

What are some common challenges faced by remote automotive engineers, and how can they be addressed?

Remote automotive engineers often encounter challenges such as coordinating with cross-functional teams spread across different locations and ensuring access to secure design data and proprietary tools. Effective communication through regular virtual meetings, utilizing collaborative CAD platforms, and maintaining clear documentation are key strategies to mitigate these issues. Many companies also provide remote access to simulation software and cloud-based project management tools, making it easier to stay productive and aligned with project goals. Building strong relationships with in-office team members and proactively seeking feedback can further enhance collaboration and project success.

Can remote automotive engineers work from home?

Remote automotive engineers can often work from home, especially for tasks involving design, simulation, and software development that require computer-based work. However, some roles may require on-site presence for testing, manufacturing, or collaboration with physical vehicle components. The feasibility depends on the specific job responsibilities and company policies.

Is there a demand for remote automotive engineers?

Remote automotive engineering is increasingly in demand as companies seek flexible work arrangements and leverage digital collaboration tools. Skills in CAD software, embedded systems, and vehicle electronics are particularly valued, and many organizations are hiring engineers for remote roles to support design, testing, and development projects.

Which remote automotive engineering jobs can be done remotely?

Remote automotive engineering jobs include roles such as design engineers, simulation specialists, and software developers, often requiring skills in CAD tools, programming, and systems analysis. These positions typically involve collaboration through online platforms and may require specific certifications or experience with remote communication tools. Many companies offer remote options for tasks like CAD modeling, software testing, and technical support, especially for experienced professionals.

What are popular job titles related to Remote Automotive Engineering jobs in Virginia?

For Remote Automotive Engineering jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Automotive Engineering jobs in Virginia look for?

The top searched job categories for Remote Automotive Engineering jobs in Virginia are:

What cities in Virginia are hiring for Remote Automotive Engineering jobs?

Cities in Virginia with the most Remote Automotive Engineering job openings:

Remote Automotive Engineering jobs near you
Infographic showing various Remote Automotive Engineering job openings in Virginia as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior Data Scientist - Machine Learning & AI

Team Velocity

VA • Remote

$140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Senior Data Scientist – Machine Learning & AI
Remote | Full-Time |

Team Velocity is seeking a Senior Data Scientist to develop and deploy machine learning, predictive analytics, and AI solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence.

This is a hands-on role for an experienced data scientist who can take models from data exploration and development through production deployment, monitoring, and optimization. You will partner with Product, Data Engineering, Software Engineering, Analytics, and business leadership to deliver measurable business impact.

This is a full-time remote position. Candidates must reside in the Continental U.S. and be able to support an 8:30 AM–5:30 PM ET business hours. Eastern and Central Time Zones highly preferred.

KEY RESPONSIBILITIES

  • Design, build, evaluate, and deploy production machine learning models.
  • Develop predictive models for churn, propensity, lead scoring, customer lifetime value, recommendations, forecasting, personalization, and marketing attribution.
  • Perform statistical analysis, hypothesis testing, A/B testing, causal inference, and time-series analysis.
  • Build feature engineering, model training, and inference pipelines.
  • Deploy and monitor ML models, including model performance, drift detection, and retraining.
  • Apply Generative AI, LLMs, RAG, and vector databases to business and customer applications.
  • Partner with Product, Engineering, Analytics, and leadership to translate business problems into scalable data science solutions.
  • Mentor junior data scientists and establish best practices for model development, documentation, and code quality.

REQUIREMENTS

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; Master's or PhD preferred.
  • 5+ years | Python + SQL | production ML | predictive modeling | model deployment | MLOps | cloud | measurable business impact
  • Proven ability to deliver measurable business impact through data science and machine learning.
  • Strong communication, analytical, and business problem-solving skills.
  • Expert Python and SQL skills.

TECHNICAL EXPERIENCE

  • Machine Learning: XGBoost, LightGBM, Random Forest, Neural Networks, Deep Learning
  • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, causal inference, time series
  • Data & Cloud: Snowflake, dbt, Spark, Airflow, GCP preferred; AWS or Azure considered
  • MLOps: MLflow, Kubeflow, Vertex AI, feature stores, CI/CD, model monitoring
  • AI/LLMs: OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, vector databases
  • Experience with data quality and observability tools such as Great Expectations or Monte Carlo is a plus.

*You do not need experience with every technology listed above. Strong production machine learning experience is the priority.

Preferred Experience

  • Large-scale customer or behavioral data
  • Marketing analytics, personalization, or customer intelligence
  • SaaS, automotive, retail, advertising, or marketing technology
  • Real-time inference or streaming data
  • Production Generative AI applications

COMPENSATION & BENEFITS
The expected starting salary is $140,000 annually, based on experience, skills, and qualifications. Benefits include medical, dental, vision, 401(k) matching, unlimited paid leave, wellness programs, and more.

NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online employment application and be sure to upload a current resume and current contact information.

About Team Velocity
Team Velocity is a full-service marketing and technology company serving automotive manufacturers and dealerships nationwide. Our proprietary Apollo® technology platform uses data, predictive analytics, and AI to predict consumer behavior, personalize marketing, and help dealerships increase sales and service revenue.

Join us in applying data science, machine learning, and AI to real-world business problems at scale.