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Remote Software Engineer University Jobs in Washington

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

Remote Clearance: US Citizen (Secret Eligible) About this role: Rackner is looking for a Software Engineer to develop and deliver first class solutions within a DevSecOps environment using latest ...

This is a fully remote position for candidates in the continental U.S., with work hours aligned to ... in software engineering, enabling them to make an immediate impact on our projects. We are ...

Software Engineer

Reston, VA ยท On-site +1

$125K - $225K/yr

Software Engineer In a world of possibilities, pursue one with endless opportunities. Imagine Next ... Experience with systems deployed to remote sites with intermittent connectivity. * Experience with ...

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

Software Engineer

Washington, DC ยท On-site +1

$100K - $230K/yr

Our software engineers take part in creating some of the most innovative software solutions in the ... Salary Range: $100,000 - $230,000 per year This position is primarily remote; however, onsite ...

Software Engineer

Washington, DC ยท Remote

$130K - $175K/yr

As a Software Engineer for Second Front Systems, we'll expect you to develop and deliver high ... Ability to work independently and collaborate with the team members in a remote environment ...

Sr. Software Engineer

Washington, DC ยท Remote

$138K - $182K/yr

Software Engineer Opportunity Project Overview: Application: Homegrown web application developed in ... jobs to sync files from remote hosts, and deploying software. * Refactoring: Refactor the ...

Software Engineer

Vienna, VA ยท On-site +1

We are seeking a Software Engineer to join our team. Working at NT Concepts means that you are part ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities:

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Showing results 1-20

Remote Software Engineer University information

What engineers make $300,000 a year?

Senior software engineers, especially those working in high-demand areas like cloud computing, machine learning, or fintech, can earn $300,000 or more annually, often including bonuses and stock options. Achieving this level typically requires extensive experience, advanced skills, and working at large tech companies or startups with significant funding.

What are the key skills and qualifications needed to thrive as a Remote Software Engineer, and why are they important?

To thrive as a Remote Software Engineer, you need strong programming skills, problem-solving abilities, and typically a degree in computer science or a related field. Familiarity with version control systems like Git, cloud platforms, and collaboration tools such as Slack or Jira is essential. Self-motivation, effective communication, and time management are crucial soft skills for remote work success. These skills and qualities ensure productivity, seamless collaboration across distributed teams, and high-quality software delivery from any location.

Can you work remotely as a software engineer?

Yes, many software engineering roles are available for remote work, especially with the rise of online collaboration tools and cloud-based development environments. Remote software engineers typically need strong communication skills, proficiency with version control systems like Git, and the ability to manage tasks independently. Companies often specify whether a position is fully remote or offers flexible work arrangements.

What are some common challenges faced by remote software engineers working in a university setting?

Remote software engineers in a university environment often navigate unique challenges, such as collaborating across diverse academic departments and aligning technical solutions with educational goals. Communication can be more complex due to varying schedules and priorities among faculty, staff, and students. Additionally, engineers must frequently adapt to legacy systems or open-source platforms commonly used by universities. Staying proactive in communication and leveraging collaborative tools are key to overcoming these hurdles and ensuring project success.

How to make $70,000 a year from home?

A remote software engineer can earn $70,000 annually by gaining in-demand programming skills, building a strong portfolio, and applying for remote positions through job boards. Certifications in relevant technologies and experience with collaboration tools like Git and Slack can improve job prospects. Consistent skill development and networking increase chances of reaching this income level from home.

What are Remote Software Engineer University jobs?

Remote Software Engineer University jobs refer to positions where software engineers work for universities or academic institutions but perform their duties remotely, often from home or another offsite location. These roles typically involve developing, maintaining, or supporting software and IT systems used in educational settings, such as learning management systems, research databases, or university websites. The remote nature of the job allows for flexible work hours and can attract candidates from diverse geographical locations. Responsibilities may range from coding and debugging to collaborating with faculty and staff to enhance digital tools for students and educators.

What is the difference between Remote Software Engineer University vs Remote Software Engineer?

AspectRemote Software Engineer UniversityRemote Software Engineer
CredentialsTypically requires a degree in Computer Science or related fieldOften requires a degree or equivalent experience in software development
Work EnvironmentPrimarily educational, training-focused, often in academic or training platformsProfessional development, project-based work in tech companies or startups
Employer & Industry UsageEducational institutions, online training platforms, coding bootcampsTech companies, startups, software development firms
Search & Comparison IntentPeople looking for training or entry-level roles with educational focusIndividuals seeking professional software engineering roles remotely

The main difference is that Remote Software Engineer University roles focus on training and education, often requiring a background in computer science, while Remote Software Engineer positions are professional roles in the industry, emphasizing project work and experience. Both roles may require similar technical skills but serve different purposes in career development.

What engineer makes $500,000 a year?

Senior software engineers, especially those working at large tech companies or in specialized fields like machine learning or cloud infrastructure, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and often leadership responsibilities or equity compensation.
What are the most commonly searched types of Software Engineer University jobs in Washington? The most popular types of Software Engineer University jobs in Washington are:
What are popular job titles related to Remote Software Engineer University jobs in Washington? For Remote Software Engineer University jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Software Engineer University jobs in Washington look for? The top searched job categories for Remote Software Engineer University jobs in Washington are:
What cities in Washington are hiring for Remote Software Engineer University jobs? Cities in Washington with the most Remote Software Engineer University job openings:
Infographic showing various Remote Software Engineer University job openings in Washington as of June 2026, with employment types broken down into 40% Full Time, 30% Part Time, and 30% Contract. Highlights an 100% Remote job distribution.
Software Engineer

Software Engineer

Relativity

Washington, DC โ€ข On-site, Remote

Other

Medical, Retirement

Posted 23 days ago


Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting