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Temporary Software Engineer Jobs in Dallas, TX (NOW HIRING)

Aquent

Senior Java Software Engineer

Westlake, TX · On-site

$56.99 - $63.33/hr

Temporary Salary: $56.99-63.33 Hourly W2 Start Date: Jul 27, 2026 Aquent is partnering with a ... As a Senior Software Engineer, you will be instrumental in designing, developing, and maintaining ...

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$59.7K

$138.7K

$193.2K

How much do temporary software engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for temporary software engineer in Dallas, TX is $138,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $162,600.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a temporary software engineer?

A Temporary Software Engineer should have a strong background in programming languages, software development methodologies, and relevant degrees or certifications, such as a bachelor's in computer science. Familiarity with tools like Git, project management platforms, and frameworks such as React, Angular, or .NET is often necessary. Excellent communication, adaptability, and time management skills help a candidate quickly integrate into teams and contribute effectively to short-term projects. These competencies ensure a Temporary Software Engineer can deliver high-quality results within limited timelines and dynamic work environments.

What is a temporary software engineer?

A Temporary Software Engineer is a short-term position where an engineer is hired to work on software development projects for a limited period. These roles are often used to fill gaps in teams, handle increased workloads, or contribute to specific project phases. Temporary software engineers perform coding, debugging, testing, and other development tasks like permanent employees but without long-term commitments. Depending on company needs, these roles may last from a few weeks to several months.

What types of projects are temporary software engineers typically assigned to, and how do these assignments differ from permanent roles?

Temporary Software Engineers are usually brought on to support specific short-term projects, address skill gaps, or help meet approaching deadlines. They may work on software module development, bug fixes, system migrations, or assisting during peak workload periods. Unlike permanent staff, their assignments are often well-defined with clear objectives and limited durations, which means they are expected to quickly understand project requirements and make immediate contributions. Temporary roles can provide valuable exposure to diverse technologies and work environments, making them an excellent opportunity for broadening experience and building a professional network.

What are the most commonly searched types of Software Engineer jobs in Dallas, TX? The most popular types of Software Engineer jobs in Dallas, TX are:
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Temporary Software Engineer jobs near you
Infographic showing various Temporary Software Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $145,997 per year, or $70.2 per hour.

Senior Software Engineer, Perception (R5420)

Shield AI

Dallas, TX • On-site

$163K - $244K/yr

Full-time

Posted 10 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.