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Entry Level Computational Engineering Jobs (NOW HIRING)

GAI Consultants, Inc is seeking an entry-level engineer to work out of our Canton, OH office within ... Geometric and computational proficiency. * Ability to communicate in technical writing and ...

GAI Consultants, Inc is seeking an entry-level engineer to work out of our Canton, OH office within ... Geometric and computational proficiency. * Ability to communicate in technical writing and ...

GAI Consultants, Inc is seeking an entry-level engineer to work out of our Canton, OH office within ... Geometric and computational proficiency. * Ability to communicate in technical writing and ...

GAI Consultants, Inc is seeking an entry-level engineer to work out of our Canton, OH office within ... Geometric and computational proficiency. * Ability to communicate in technical writing and ...

GAI Consultants, Inc is seeking an entry-level engineer to work out of our Canton, OH office within ... Geometric and computational proficiency. * Ability to communicate in technical writing and ...

Analyze product designs using engineering tools including but not limited to tolerance ... Mentors' entry level engineers. * Perform additional projects/duties to support ongoing business ...

Analyze product designs using engineering tools including but not limited to tolerance ... Mentors' entry level engineers. * Perform additional projects/duties to support ongoing business ...

Analyze product designs using engineering tools including but not limited to tolerance ... Mentors' entry level engineers. * Perform additional projects/duties to support ongoing business ...

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Entry Level Computational Engineering information

See salary details

$48.5K

$121.5K

$137.5K

How much do entry level computational engineering jobs pay per year?

As of Jul 17, 2026, the average yearly pay for entry level computational engineering in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

Are computational engineers in demand?

Computational engineers are in high demand across industries such as aerospace, automotive, and technology due to their skills in programming, modeling, and simulation. The growing reliance on data analysis, software development, and complex systems increases employment opportunities for entry-level computational engineers.

What is the difference between Entry Level Computational Engineering vs Entry Level Mechanical Engineering?

AspectEntry Level Computational EngineeringEntry Level Mechanical Engineering
Required CredentialsBachelor's in Computational Engineering, Computer Science, or related fieldBachelor's in Mechanical Engineering or related field
Work EnvironmentSoftware development, simulation, modeling in labs or officesDesign, testing, manufacturing in labs, factories, or offices
Industry UsageTech, aerospace, automotive, research institutionsManufacturing, automotive, aerospace, energy sectors
Common Search/ComparisonYesYes

Entry Level Computational Engineering focuses on software, simulations, and modeling using programming skills, often in tech and research industries. Entry Level Mechanical Engineering emphasizes physical design, testing, and manufacturing processes. Both roles require a bachelor's degree but differ in daily tasks and industry applications, with computational roles leaning toward software and mechanical roles toward physical systems.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or certain senior roles in technology companies can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes leadership responsibilities or stock options.

What tech jobs pay $400,000 a year?

Entry level computational engineering roles typically do not pay $400,000 annually; such high salaries are usually associated with senior positions, specialized roles like machine learning engineers, data scientists, or software architects in large tech companies, often requiring extensive experience, advanced skills, and sometimes equity or bonuses. Most high-paying tech jobs at this level involve leadership, expertise in cutting-edge technologies, or executive responsibilities.

What engineers make $300,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or certain senior software engineering roles can earn $300,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes management responsibilities or working in high-cost-of-living areas.
More about Entry Level Computational Engineering jobs
What cities are hiring for Entry Level Computational Engineering jobs? Cities with the most Entry Level Computational Engineering job openings:
What are the most commonly searched types of Computational Engineering jobs? The most popular types of Computational Engineering jobs are:
Infographic showing various Entry Level Computational Engineering job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Software Development Engineer

Software Development Engineer

Clearwater Analytics

Manhattan, NY • On-site

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Clearwater Analytics is focused on providing financial risk analytics and reporting solutions. The Software Development Engineer role involves designing, implementing, and maintaining software components that support these analytics, collaborating with various teams, and contributing to the overall software development process.
Responsibilities:
• Develop, enhance, and maintain software applications and services used in risk workflows and data processing.
• Collaborate with product managers, quants, and engineering peers to clarify requirements and translate them into functioning code.
• Participate in design discussions and propose improvements that support scalability, performance, and maintainability.
• Build and maintain integrations and pipelines for trade, position, and market data.
• Write unit and integration tests and contribute to overall code quality and reliability.
• Perform troubleshooting and root-cause analysis to resolve defects and improve system stability.
• Assist in story creation, effort estimation, and delivery planning within an Agile environment.
• Document implementation details, design decisions, and APIs to support knowledge sharing and maintainability.
• Support CI/CD processes, build pipelines, and release activities.
Qualifications:
Required:
• Strong understanding of data structures, algorithms, and object-oriented programming.
• Proficiency in Python or another modern object-oriented language (Java, C#, C++, etc.).
• Ability to learn quickly and apply new concepts in data-driven or computational problem spaces.
• Exposure to or basic experience with APIs, microservices, or backend service development.
• Familiarity with version control tools such as Git and comfort participating in code reviews.
• Solid analytical and problem-solving skills with attention to detail.
• Good written and verbal communication skills; ability to work effectively with cross-functional partners.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field—or equivalent practical experience.
• 2+ years of professional software development experience.
Preferred:
• Interest in financial markets or risk management concepts is a plus but not required—domain training is provided.
• Experience with automated testing, CI/CD workflows, or cloud environments is a plus, not a must.
• Financial services experience is a bonus, not a requirement.
• Experience working on data-intensive, distributed, or mission-critical systems is a plus but not expected at entry level.
Company:
Clearwater Analytics is a SaaS company, providing automated investment accounting, performance, and analytics for institutional investors. Founded in 2004, the company is headquartered in Boise, USA, with a team of 1001-5000 employees. The company is currently Late Stage.