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Temporary Software Engineer Optum Jobs in Washington

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 ...

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Temporary Software Engineer Optum information

What is a temporary software engineer at Optum?

Temporary Software Engineers at Optum are professionals hired on a short-term basis to support software development projects within the company. Their responsibilities can include designing, coding, testing, and maintaining software applications that help improve healthcare services. They often work as part of a team, collaborating with other engineers, product managers, and stakeholders to deliver technology solutions. These roles are typically contract-based and last for a predetermined period, offering flexibility for both the company and the employee.

What are the key skills and qualifications needed to thrive as a temporary software engineer at Optum?

To thrive as a Temporary Software Engineer at Optum, you need strong programming skills (such as Java, Python, or C#), problem-solving abilities, and a relevant degree in computer science or a related field. Familiarity with development tools like Git, CI/CD pipelines, cloud platforms (e.g., AWS or Azure), and agile project management systems is highly valuable. Excellent teamwork, adaptability, and communication skills help you collaborate effectively in a dynamic environment and contribute quickly. These skills and qualities ensure you can deliver high-quality software solutions efficiently, even within the constraints of a temporary role.

What types of projects are typically assigned to temporary software engineers at Optum?

Temporary Software Engineers at Optum are often assigned to support ongoing projects or to help deliver on tight product deadlines. These projects may include developing new features, resolving bugs, or assisting with the integration of healthcare technology solutions. As a temporary team member, you'll collaborate closely with full-time engineers, project managers, and business analysts to ensure smooth project delivery. Your work directly impacts Optum’s ability to innovate and provide efficient healthcare solutions, and successful performance in the role may open doors to longer-term opportunities within the organization.

What is the difference between Temporary Software Engineer Optum vs Temporary Software Developer Optum?

AspectTemporary Software Engineer OptumTemporary Software Developer Optum
CredentialsBachelor's in CS or related field; coding certificationsBachelor's in CS or related field; coding certifications
Work EnvironmentHealthcare tech projects, collaborative teamsHealthcare tech projects, collaborative teams
Employer & IndustryOptum, healthcare and health servicesOptum, healthcare and health services
Common Search IntentTemporary software engineering roles at OptumTemporary software development roles at Optum

Both roles involve working on healthcare technology projects at Optum, requiring similar technical skills and certifications. The main difference lies in job titles; 'Software Engineer' often emphasizes system design and architecture, while 'Software Developer' focuses more on coding and implementation. Candidates should review specific job descriptions to determine the best fit for their skills and career goals.

What are the most commonly searched types of Software Engineer Optum jobs in Washington?

The most popular types of Software Engineer Optum jobs in Washington are:

Temporary Software Engineer Optum jobs near you

Staff Software Engineer, Perception (R5421)

Shield AI

Washington, DC • On-site

$195K - $292K/yr

Full-time

Posted 24 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 lead the technical development of advanced machine learning solutions that define the future of perception for autonomous systems. You'll own the team's most challenging technical problems, drive architecture and model development across multiple efforts, and influence how foundation models are adapted, evaluated, and deployed for real-world autonomy. Working closely with researchers, perception engineers, autonomy engineers, and platform teams, you'll bridge cutting-edge AI research with scalable production systems while mentoring engineers and raising the technical bar across the organization.
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 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.

  • Expertise 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.