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Computational Engineer Jobs in New York (NOW HIRING)

Build Technologies

Computational Designer

Manhattan, NY · On-site

$80 - $120/hr

We are looking for a computational designer who has likely trained at one of the world's leading architecture or engineering firms, or built their own practice with computational geometry at its core.

New

Oxman

Computational Designer

New York, NY · On-site

$115K - $143K/yr

EDEN is a digital design environment for the engineering and design of ecosystems , modeling the ... Role Overview OXMAN is seeking a Computational Designer to join the EDEN design team and develop ...

Kitware

Computational Imaging Researcher

New York, NY · On-site

$125K - $170K/yr

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

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Showing results 21-40

All JobsComputational Engineer JobsComputational Engineer Jobs in New York

Computational Engineer information

See New York salary details

$53.1K

$132.9K

$150.4K

How much do computational engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computational engineer in New York is $132,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $143,900.00 per year, depending on experience, location, and employer.

What is a computational engineer?

A computational engineer is a professional who uses advanced computing techniques and mathematical models to solve complex engineering problems. They develop simulations, algorithms, and software to analyze and optimize systems in fields such as aerospace, automotive, civil engineering, and more. Their work often involves programming, data analysis, and applying principles from physics and mathematics to create efficient solutions. Computational engineers bridge the gap between traditional engineering and computer science, enabling innovation through technology.

How does a computational engineer typically collaborate with multidisciplinary teams on complex projects?

Computational Engineers frequently work alongside professionals from various disciplines such as mechanical engineers, data scientists, and software developers. Effective collaboration often involves translating engineering problems into computational models, communicating technical requirements, and integrating simulation results into broader project workflows. Regular meetings, shared documentation, and collaborative software tools are commonly used to ensure alignment and progress. This team-based approach helps deliver accurate and actionable insights for product design, optimization, or research objectives.

What are the key skills and qualifications needed to thrive as a computational engineer, and why are they important?

To thrive as a Computational Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency in programming languages (such as Python, C++, or MATLAB), experience with simulation software (like ANSYS or COMSOL), and familiarity with high-performance computing environments are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help set top performers apart in this field. These skills are crucial for developing accurate models, optimizing complex systems, and effectively collaborating in multidisciplinary teams.

What is the difference between Computational Engineer vs Software Engineer?

AspectComputational EngineerSoftware Engineer
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; knowledge of programming and numerical methodsBachelor's or Master's in Computer Science, Software Engineering, or related fields; strong programming skills
Work EnvironmentResearch labs, engineering firms, tech companies; often involves simulation and modelingTech companies, startups, software firms; focuses on application development and system design
Industry UsageEngineering, aerospace, automotive, scientific researchIT, software development, technology services

Computational Engineers and Software Engineers share programming skills and work in tech-related environments. However, Computational Engineers focus more on applying computational methods to engineering problems, simulations, and modeling, while Software Engineers primarily develop software applications and systems. Both roles require strong technical backgrounds but serve different industry needs.

How much do computational engineers make?

Computational engineers typically earn a median annual salary between $80,000 and $120,000, depending on experience, education, and industry. Senior roles or those with specialized skills in programming, simulation, or data analysis can earn higher salaries, especially in high-demand sectors like aerospace, defense, or technology companies.

What are popular job titles related to Computational Engineer jobs in New York?

For Computational Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Computational Engineer jobs in New York look for?

The top searched job categories for Computational Engineer jobs in New York are:

Computational Engineer jobs near you
Infographic showing various Computational Engineer job openings in New York as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $132,942 per year, or $63.9 per hour.

Computational Designer

Build Technologies

Manhattan, NY • On-site

$80 - $120/hr

Other

Posted 3 days ago

New

Job description

The role

At Build, the company is the product. Every output, every workflow, every client deliverable is an expression of what we believe AI and expert services can become when you remove the boundary between them. This role sits at the centre of that, applied to design.

We are looking for a computational designer who has likely trained at one of the world's leading architecture or engineering firms, or built their own practice with computational geometry at its core. Someone who looks at the built environment and sees systems, not drawings. Someone who wants to build the AI factory for design: a stack of workflows, tools and models that makes the full range of design work faster, smarter and compounding across every asset class.

The scope runs from critical infrastructure and data centres to industrial, office, urban and beyond. The ambition is to define what AI-native design means - not as a productivity improvement on existing practice, but as a genuinely new model for how design work gets done.

What you will do
  • Build the computational design stack that powers Build's delivery across infrastructure, industrial, office and urban projects - from site selection and early massing through to technical due diligence and design automation.
  • Translate spatial and site-specific problems into fast, reproducible workflows that compound over time and work across asset classes.
  • Work directly with domain experts and engineers to identify the hardest design questions and build AI-driven systems that answer them.
  • Define Build's AI-native approach to design - not just tooling on top of existing practice, but new systems that fundamentally change what is possible.
  • Build the AI factory for design: a production system where outputs improve, workflows scale, and the full range of the built environment can be addressed faster than any traditional practice.
  • Contribute directly to live client work across 15+ countries. There is no layer between you and the thing being built.
What we are looking for
  • Strong computational design background: Python, GIS, parametric and geometric workflows. You have built tools, not just used them.
  • Likely background at a top-tier architecture or engineering firm with a serious computational practice, or you founded your own with this at its centre.
  • You understand how the built environment works across scales - from a single building to a master plan to a piece of critical infrastructure. You know the difference between a design decision and a delivery decision.
  • Comfortable working across design, data and software in the same week without waiting for a handoff.
  • A genuine point of view on what AI-native design means. Not a feature set. A position.
  • High executive function. You can operate at pace in ambiguous conditions and hold a high bar without being told to.

Relevant backgrounds include computational design, architectural technology, geospatial engineering, parametric design, spatial computing.

The scope of this role is precise and the bar is extraordinarily high. If that is you, please apply or reach out to james at build.inc with a portfolio and/or your best work.

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