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Europe Software Engineer Jobs in Springfield, VA

Shield AI

Principal Engineer, Software (R5285)

Washington, DC · On-site

$152K - $205K/yr

S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations ... Strong knowledge of modern software engineering best practices; Experience with Git and code ...

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Showing results 21-40

All JobsEurope Software Engineer JobsEurope Software Engineer Jobs in Springfield, VA

Europe Software Engineer information

See Springfield, VA salary details

$66.3K

$154.1K

$214.7K

How much do europe software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for europe software engineer in Springfield, VA is $154,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $180,700.00 per year, depending on experience, location, and employer.

What does a Europe software engineer do?

A Europe Software Engineer is responsible for designing, developing, testing, and maintaining software applications and systems, often tailored to meet the needs of European clients or regulations. Their work may include coding, debugging, collaborating with cross-functional teams, and ensuring software compliance with EU standards such as GDPR. Software Engineers in Europe often work in diverse, multicultural environments and may be expected to have knowledge of multiple programming languages and agile methodologies.

What are the key skills and qualifications needed to thrive as a Europe software engineer, and why are they important?

To thrive as a Europe Software Engineer, you need strong programming skills, a solid understanding of computer science fundamentals, and typically a degree in computer science or a related field. Familiarity with popular programming languages (like Java, Python, or C++), version control systems (such as Git), and agile development methodologies is essential. Problem-solving ability, teamwork, and effective communication are vital soft skills that set standout engineers apart. These skills and qualifications are crucial for building reliable software, collaborating with diverse European teams, and adapting to fast-evolving technologies.

What are some common challenges Europe software engineers face when working with distributed teams across different countries?

Europe Software Engineers often collaborate with colleagues located in various countries, which can present challenges such as coordinating work across multiple time zones, navigating cultural differences in communication styles, and adhering to diverse regulatory or data privacy requirements. Effective communication and strong organizational skills are essential to overcome these hurdles and ensure smooth project delivery. Many teams use agile methodologies and digital collaboration tools to facilitate teamwork and maintain transparency in cross-border projects.

What is the difference between Europe Software Engineer vs Europe Developer?

AspectEurope Software EngineerEurope Developer
CredentialsBachelor's or higher in Computer Science or related fieldBachelor's or higher in Computer Science or related field
Work EnvironmentDesign, develop, and maintain software systems, often involved in architecture decisionsFocus on coding, implementation, and testing of software applications
Industry UsageCommon in tech companies, startups, and enterprise software firms across EuropeUsed interchangeably with Software Engineer, often in job listings and resumes

Europe Software Engineer and Europe Developer roles share similar educational backgrounds and work environments. Engineers typically focus on system design and architecture, while Developers concentrate on coding and implementation. Both roles are vital in the software industry and often overlap, but Engineers may have a broader scope involving system planning.

What are popular job titles related to Europe Software Engineer jobs in Springfield, VA?

For Europe Software Engineer jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Europe Software Engineer jobs in Springfield, VA look for?

The top searched job categories for Europe Software Engineer jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Europe Software Engineer jobs?

Cities near Springfield, VA with the most Europe Software Engineer job openings:

Europe Software Engineer jobs near you
Infographic showing various Europe Software Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 10% Part Time, 1% Temporary, and 6% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $154,092 per year, or $74.1 per hour.

Senior Software Engineer, Perception (R5420)

Shield AI

Washington, DC • On-site

$163K - $244K/yr

Full-time

Posted 20 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).

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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.