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Temporary Software Developer Jobs in McLean, VA (NOW HIRING)

Dellfor Technologies

senior java developer

Washington, DC · On-site

$64.75 - $82.75/hr

Company Description Dellfor Technologies is founded by software professionals with fresh approach ... And we do it every single day - for both temporary and permanent assignments and across virtually ...

Dellfor Technologies

senior java developer

Maryland City, MD · On-site

$58.75 - $75/hr

Company Description Dellfor Technologies is founded by software professionals with fresh approach ... And we do it every single day - for both temporary and permanent assignments and across virtually ...

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$48.5K

$113.1K

$167.8K

How much do temporary software developer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for temporary software developer in McLean, VA is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $131,400.00 per year, depending on experience, location, and employer.

What is a temporary software developer?

Temporary Software Developers are professionals hired on a short-term basis to design, develop, test, and maintain software applications for a company or project. They typically work on specific assignments, such as filling in for permanent staff, addressing urgent project needs, or providing specialized skills for a limited period. Their contracts usually have fixed durations, and they may work independently or as part of a team. Temporary roles offer flexibility for both employers and developers, but may not include the same benefits as permanent positions.

What does a temporary software developer do?

A temporary software developer works on a freelance or contract basis. Your duties focus on the development, design, and testing of software programs. You may have a different set of responsibilities depending on the details of each project, such as working with computer code to develop programs or create a mobile application. A temporary software developer can work on one facet of a project, such as testing or coding a specific process. Developers sometimes specialize in working with one computer language, although knowledge of multiple coding languages is beneficial in this career.

What types of projects and responsibilities can a temporary software developer expect during a typical assignment?

As a Temporary Software Developer, you will often be brought in to support ongoing projects, address backlog tasks, or assist during periods of increased workload. Your responsibilities may include writing and testing code, debugging existing applications, and collaborating with permanent team members to meet tight deadlines. You may also be involved in documentation and code review processes, and your ability to quickly adapt to new technologies and workflows will be highly valued. The work environment is typically fast-paced, and clear communication with both developers and project managers is important to ensure a smooth integration into the team.

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

To thrive as a Temporary Software Developer, you need strong programming skills, familiarity with software development life cycles, and a relevant degree or equivalent experience. Proficiency with coding languages (such as Python, Java, or JavaScript), version control systems like Git, and project management tools is typically required. Adaptability, quick learning, and effective communication are essential soft skills to integrate into new teams and projects swiftly. These skills enable a Temporary Software Developer to contribute efficiently, deliver quality code under tight timelines, and support the organization's short-term technical needs.
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Temporary Software Developer jobs near you

Senior Staff Software Engineer, Perception (R4985)

Shield AI

Washington, DC • On-site

$138K - $182K/yr

Full-time

Re-posted 5 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 enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. 
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 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.

  • Mastery 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).

#LI-DS-1
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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.