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Computational Engineering Internship Jobs in Washington

... Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming ...

... Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming ...

... Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming ...

... Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming ...

... Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming ...

... Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming ...

... Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming ...

Senior Research Scientist US

Washington, DC

$111K - $142K/yr

Develop novel scientific concepts, models, methods, and experimental or computational approaches ... Mentor junior scientists, postdoctoral researchers, engineers, and interns. * Contribute to ...

Senior Research Scientist US

Washington, DC · On-site

$111K - $142K/yr

Develop novel scientific concepts, models, methods, and experimental or computational approaches ... Mentor junior scientists, postdoctoral researchers, engineers, and interns. * Contribute to ...

... internship engineering experience, OR * b) A master's degree in a relevant field and at least 10 ... Computational Fluid Dynamics especially for aerodynamic high-speed flows, Finite Element Analysis ...

... internship engineering experience, OR * b) A master's degree in a relevant field and at least 10 ... Computational Fluid Dynamics especially for aerodynamic high-speed flows, Finite Element Analysis ...

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Computational Engineering Internship information

What are the key skills and qualifications needed to thrive as a Computational Engineering Intern, and why are they important?

To thrive as a Computational Engineering Intern, you need a solid background in mathematics, programming (such as Python, MATLAB, or C++), and engineering principles, typically gained through relevant coursework or a degree in engineering, computer science, or a related field. Familiarity with simulation software, numerical analysis tools, and version control systems like Git is often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and contribute to complex engineering projects. These competencies are crucial for efficiently supporting engineering teams and delivering accurate computational analyses in a fast-paced environment.

What is the difference between Computational Engineering Internship vs Mechanical Engineering Internship?

AspectComputational Engineering InternshipMechanical Engineering Internship
Required CredentialsTypically pursuing or holding a degree in computational, software, or engineering disciplinesTypically pursuing or holding a degree in mechanical engineering or related fields
Work EnvironmentFocus on software development, simulations, and modeling in labs or office settingsHands-on hardware, design, and testing in labs, manufacturing, or field environments
Industry UsageUsed in aerospace, automotive, energy, and tech sectors for simulation and analysisCommon in manufacturing, automotive, aerospace, and product design industries

Computational Engineering Internships focus on software, modeling, and simulation tasks, often in tech-driven industries, while Mechanical Engineering Internships involve physical design, testing, and hardware work. Both roles require engineering backgrounds but differ in daily tasks and work environments.

What is a Computational Engineering Internship?

A Computational Engineering Internship is a temporary position for students or recent graduates, where they apply their knowledge of computer science, mathematics, and engineering to solve real-world problems using computational methods. Interns typically work on projects involving simulation, modeling, data analysis, or software development in engineering fields. This role provides hands-on experience with industry tools and technologies, and helps interns develop practical skills in areas such as programming, numerical analysis, and algorithm design. Interns may also collaborate with experienced engineers and researchers, contributing to ongoing projects and gaining valuable insights into engineering workflows.

What types of projects do Computational Engineering Interns typically work on, and how do these projects contribute to their professional development?

Computational Engineering Interns often work on projects involving simulation, modeling, data analysis, or algorithm development to solve real engineering problems. These assignments may include optimizing engineering processes, validating simulation results, or supporting the development of new computational tools. Interns usually collaborate closely with experienced engineers, gaining exposure to industry software and best practices. This hands-on experience not only develops their technical abilities but also helps them build teamwork and communication skills essential for advancing in the field.
What are the most commonly searched types of Computational Engineering jobs in Washington? The most popular types of Computational Engineering jobs in Washington are:
What are popular job titles related to Computational Engineering Internship jobs in Washington? For Computational Engineering Internship jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Computational Engineering Internship jobs in Washington look for? The top searched job categories for Computational Engineering Internship jobs in Washington are:
What cities in Washington are hiring for Computational Engineering Internship jobs? Cities in Washington with the most Computational Engineering Internship job openings:
Infographic showing various Computational Engineering Internship job openings in Washington as of June 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Consultative Offerings - Government & Public Services - Analyst - AI & Data Engineering

Deloitte

Arlington, VA • On-site

Full-time

Re-posted 12 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

56th of 149 rated financial services


Job description

Join Deloitte's Government & Public Services practice as an Analyst and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments.
Recruiting for this role ends on 07/26/2026.
Work you'll do
As an Analyst in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization.
While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Analysts to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Analysts whose skills and interests align with the below description:
AI and Data Engineering Analyst
• This Analyst architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deep expertise in advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By merging expertise in AI, data engineering, and enterprise architecture, this Analyst empowers organizations to leverage data-driven intelligence and scalable solutions to meet evolving business and agency needs.
A successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
The team
Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment.
Qualifications
Required:
  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2027 or have completed a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or an equivalent program
  • Cumulative grade point average of 3.0 or higher
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain a U.S. Security Clearance
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Candidates must be at least 18 years of age at the time of employment
Preferred:
  • Cumulative grade point average of 3.4 or higher
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics
This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $98,000.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Requisition code: 350596
Job ID 350596

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