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Temporary Freshman Software Engineering Jobs in Washington, DC

Marriott

FLEX Manager, Software Engineer

Bethesda, MD · On-site +1

This is a temporary position. JOB SUMMARY We are seeking a passionate FLEX Manager, Software Engineer to join our Loyalty Engineering team to help build the next generation of our Loyalty Platform ...

TEKsystems

Software Engineer

Annapolis, MD

$38 - $48/hr

... discipline engineering teams. Qualifications You Must Have: • Typically requires a bachelor ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Actalent

Embedded Software Engineer

Manassas, VA

$55 - $75/hr

Collaborate closely with hardware engineering teams to ensure seamless software and hardware ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

Actalent

Embedded Software Engineer

Manassas, VA

$55 - $75/hr

Collaborate closely with hardware engineering teams to ensure seamless software and hardware ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

Ad Hoc

Senior DevOps Engineer

Mclean, VA · Remote

$131K - $168K/yr

May leads small, less critical, or temporary team structures and projects * Presents design ... Bachelor's degree and 7+ years of professional software engineering experience (or equivalent ...

Ad Hoc LLC

Senior DevOps Engineer

Mclean, VA · On-site

$131K - $168K/yr

May leads small, less critical, or temporary team structures and projects * Presents design ... Bachelor's degree and 7+ years of professional software engineering experience (or equivalent ...

USM

UI Software Engineer-----Need GC,USC,GC-EAD

Reston, VA

$108K - $144K/yr

USM is recognized as one of the fastest growing IT Temporary Staffing firms in the US and most ... Hands-on engineer in designing and development of software solutions and software requirements ...

Leidos

Principal Software Engineer / Tech Lead

Arlington, VA · On-site

$155K - $208K/yr

Engineering * Experience in working on teams utilizing Agile workflows and processes * Translate ... Experience working in a high op-temp, top secret environment * Previous experience tracking ...

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Showing results 21-40

All JobsFreshman Software Engineering JobsTemporary Freshman Software Engineering JobsTemporary Freshman Software Engineering Jobs in Washington, DC

Temporary Freshman Software Engineering information

See Washington, DC salary details

$71.9K

$167.1K

$232.7K

How much do temporary freshman software engineering jobs pay per year?

As of Aug 11, 2026, the average yearly pay for temporary freshman software engineering in Washington, DC is $167,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $195,900.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Freshman Software Engineering jobs in Washington, DC? The most popular types of Freshman Software Engineering jobs in Washington, DC are:
Temporary Freshman Software Engineering jobs near you

Senior Staff Software Engineer, Perception (R4985)

Shield AI

Washington, DC • On-site

$233K - $350K/yr

Full-time

Posted 14 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).

$233,760 - $350,640 a year
#LI-DS-1
#LE

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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