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Director Neural Engineering Jobs in Virginia (NOW HIRING)

The Director of Product Marketing will work closely with executive leadership, Engineering, Sales ... the Dynamic Neural Accelerator ® AI processor IP are geared towards positively disrupting the ...

Software Engineer, Senior

Mclean, VA · On-site

$124K - $163K/yr

... neural network training pipelines, automation tools, and algorithm development in support of ... for real engineering challenges, supportive leadership, and the ability to make a direct impact ...

Software Engineer, Senior

Mclean, VA · On-site

$124K - $163K/yr

... neural network training pipelines, automation tools, and algorithm development in support of ... for real engineering challenges, supportive leadership, and the ability to make a direct impact ...

... direct mentorship from the Principal Investigator alongside guidance from senior research personnel ... Proficiency in spike train analysis and neural decoding methods. Advanced programming skills in ...

... direct partnership with the Defense Intelligence Agency (DIA). You will work within a multi ... Neural Networks, Generative AI) that fuse engineering data with first-principles physics.

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Director Neural Engineering information

What is the difference between Director Neural Engineering vs Neural Engineer?

AspectDirector Neural EngineeringNeural Engineer
Required CredentialsAdvanced degrees (PhD or MS), leadership experienceBachelor's or Master's in engineering, neuroscience, or related fields
Work EnvironmentLeadership roles in R&D teams, strategic planningHands-on research, development, and testing
Employer & Industry UsageResearch institutions, biotech, medical device companiesResearch labs, startups, healthcare organizations
Common Search & ComparisonLeadership, strategy, project managementTechnical skills, research focus

The main difference between a Director Neural Engineering and a Neural Engineer lies in their roles and responsibilities. The Director typically oversees projects, manages teams, and sets strategic goals, requiring advanced degrees and leadership experience. Neural Engineers focus on hands-on research and development, applying technical skills to design and test neural interfaces or algorithms. Both roles are vital in the neural engineering field but differ in scope and seniority.

What are the most commonly searched types of Neural Engineering jobs in Virginia? The most popular types of Neural Engineering jobs in Virginia are:
What are popular job titles related to Director Neural Engineering jobs in Virginia? For Director Neural Engineering jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Director Neural Engineering jobs? Cities in Virginia with the most Director Neural Engineering job openings:
Infographic showing various Director Neural Engineering job openings in Virginia as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.

FULL-TIME Role || Principal AI Engineer

Tek Pyramids

Arlington, VA • On-site

Other

Posted 6 days ago


Job description


Role

Principal AI Engineer

Location

Arlington, VA (100% Onsite)

Duration

Full-Time ROLE

Interview Note

Individual Contributor (No Direct Reports).

Greenfield AI Engineering team.

Must be highly hands-on with AI/ML architecture, LLMs, Agentic AI, and production deployments.

Qualifications (Required)

  • 10+ years of experience in Software Engineering, Data Engineering, or Machine Learning Engineering with a strong background as a Senior Individual Contributor or Technical Leader.
  • Hands-on experience designing, building, and deploying production AI/ML systems at scale.
  • Advanced experience with Large Language Models (LLMs) including:
    • Self-hosting open-weight models
    • Fine-tuning
    • Quantization
    • Inference optimization & model serving
  • Strong experience architecting Agentic AI systems and orchestration patterns.
  • Expert-level Python with modern AI/ML frameworks and tooling.
  • Experience with both Cloud and On-Prem GPU infrastructure.
  • Ability to define technical architecture, engineering standards, and design patterns for AI platforms.
  • Proven ability to lead technical decisions and influence engineering teams without direct authority.
  • Experience mentoring senior engineers.

Preferred Skills

  • Databricks
  • Apache Kafka
  • LangGraph, CrewAI, or other Agent Frameworks
  • Experience building custom ML models (Neural Networks, smaller ML models) in addition to LLMs.
  • Ontology / Semantic Modeling
  • Experience deploying AI/ML solutions in Operational Technology (OT), Industrial, or Safety-Critical environments.
  • Industry experience in Energy, LNG, Manufacturing, or Heavy Industrial domains.