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Edge Ai Jobs in Reston, VA (NOW HIRING)

Jobtailor

Principal AI Engineer (Agentic AI)

Vienna, VA · On-site

$180 - $240/hr

Lead the design and implementation of cutting-edge AI systems using large language models to solve complex business problems. * Collaborate with ETS and Business partners to build and drive AI ...

JCTM, LLC

AI Data Systems Engineer

Quantico, VA · On-site

$123K - $135K/yr

As an AI Data Systems Engineer with JCTM you will support the Marine Corps Warfighting Lab by ... Storage and Edge Data Strategy: Evaluate data storage strategies across cloud, on-premise, and ...

DCCA

AI/ML Engineer with Security Clearance

Chantilly, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Edge AI & System Sustainment: Design lightweight AI models for Edge AI applications, ensuring high-performance computing capabilities are pushed closer to data sources where required by the mission.

Hatch IT

Senior AI Software Engineer

Washington, DC · On-site

$138K - $182K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The platform integrates software-defined radio (SDR) technologies, edge AI, distributed systems, and modern software engineering practices to enable autonomous processing and decision support at the ...

Stackruit Ltd.

Software Engineer - AI/ML

Washington, DC · On-site

$120 - $150/hr

Be a Data-Driven AI Hero for the 2030 US Census! (Cloud, Python, AWS) Do you dream of using cutting-edge AI to shape the future of the US Census? The US Census Bureau is looking for a talented AI/ML ...

Hatch IT

Senior AI Software Engineer

Washington, DC · Remote

$180K - $210K/yr

The platform integrates software-defined radio (SDR) technologies, edge AI, distributed systems, and modern software engineering practices to enable autonomous processing and decision support at the ...

QualX Corporation

AI Developer

Springfield, VA · On-site

$100K - $125K/yr

Stay current with cutting-edge AI/ML and data analytics research and recommend practical applications to mission use cases. * Mentor junior staff and contribute to corporate AI strategy, including ...

Booz Allen Hamilton

Lead AI/ML Engineer

Ashburn, VA · On-site

$104K - $138K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

Booz Allen Hamilton

AI/ML Engineer, Lead

Ashburn, VA · On-site

$129 - $292/hr

  • Medical

  • Life

  • Retirement

  • PTO

Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

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Showing results 21-40

All JobsEdge Ai JobsEdge Ai Jobs in Reston, VA

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How much do edge ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for edge ai in Reston, VA is $21.12, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $25.00 per hour, depending on experience, location, and employer.

What is the difference between Edge Ai vs Data Scientist?

AspectEdge Ai
Required CredentialsTypically a degree in computer science, electrical engineering, or related fields; certifications in AI or machine learning are common
Work EnvironmentPrimarily involves working with embedded systems, IoT devices, and hardware in diverse locations
Employer & Industry UsageUsed by tech companies, hardware manufacturers, and IoT solution providers focusing on real-time data processing
Common Search & Comparison IntentUnderstanding hardware-focused AI deployment and real-time processing capabilities

Edge Ai specialists focus on deploying AI models directly on hardware devices at the edge, emphasizing real-time processing and hardware integration. Data Scientists, however, primarily analyze data, develop models, and work in cloud or server environments. While both roles involve AI and machine learning, Edge Ai is more hardware-centric, whereas Data Scientists focus on data analysis and model development in software environments.

What is edge AI and how does it work?

Edge AI refers to deploying artificial intelligence algorithms directly on devices at the edge of the network, such as sensors or smartphones, rather than relying on centralized cloud servers. It processes data locally, enabling faster response times, reduced bandwidth use, and improved privacy. Professionals working with edge AI often need skills in embedded systems, machine learning, and hardware integration.

What are popular job titles related to Edge Ai jobs in Reston, VA?

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Edge Ai jobs near you

Senior Software Engineer, Perception (R5420)

Shield AI

Washington, DC • On-site

$163K - $244K/yr

Full-time

Posted 23 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.
 

In this role, you'll develop and deploy advanced machine learning models that solve real-world perception challenges for autonomous systems. You'll own major features from model development through deployment, working closely with machine learning researchers, perception engineers, autonomy engineers, and platform teams to bring cutting-edge AI capabilities into production. This is an ideal opportunity for engineers who enjoy solving difficult perception problems while building reliable, production-ready ML systems that operate on autonomous platforms in complex operational environments.

What You'll Do:

Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. 

Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. 

Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. 

Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. 

Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. 

Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. 

Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. 

Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. 

Required Qualifications:

  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 4 years and a Master's degree; or 2 years with a PhD; or equivalent work experience.

  • Prioficiency of machine learning fundamentals. 

  • Experience training an deploying ML models for computer vision in a production setting. 

  • Strong understanding of 3D vision problems/algorithms. 

  • Experience with machine learning frameworks such as PyTorch and TensorFlow. 

  • Demonstrated expertise in deploying models using TensorRT and ONNX. 

  • Proficiency in C++ and Python. 

  • Strong analytical and problem-solving skills, with the ability to translate research into practical applications. 

  • Ability to obtain a SECRET clearance 
Preferred Qualifications:

  • Experience with developing autonomous systems for defense customers. 

  • Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.  

  • Contributions to open-source projects in machine learning or computer vision. 

  • Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).

$163,200 - $244,800 a year
#LI-DS-1
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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