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Full Time Computational Engineering Jobs (NOW HIRING)

OPT Industries, Inc.

Computational Design

Medford, MA · On-site

$80K - $120K/yr

Working at the intersection of automation engineering, computational design and polymer science, we ... This will be a full-time on-site position at our main office in Medford, MA, USA. Opportunities

Arcadis

Computational Designer

Los Angeles, CA · On-site +1

$22 - $27/hr

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

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Full Time Computational Engineering information

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$48.5K

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How much do full time computational engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time 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.

What is the difference between Full Time Computational Engineering vs Full Time Software Engineer?

AspectFull Time Computational EngineeringFull Time Software Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often includes certifications in programming or simulation toolsBachelor's or higher in computer science, software engineering, or related fields; certifications in programming languages are common
Work EnvironmentResearch labs, engineering firms, tech companies; focus on modeling, simulation, and algorithm developmentTech companies, startups, software firms; focus on application development, coding, and system design
Employer & Industry UsageUsed in aerospace, automotive, defense, and research institutionsUsed across IT, finance, healthcare, and technology sectors

Full Time Computational Engineering primarily involves developing simulations and models in engineering contexts, often requiring specialized technical skills. In contrast, Full Time Software Engineers focus on designing, coding, and maintaining software applications across various industries. While both roles require programming expertise, their work environments and industry applications differ significantly.

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What are the most commonly searched types of Computational Engineering jobs?

The most popular types of Computational Engineering jobs are:

What job categories do people searching Full Time Computational Engineering jobs look for?

The top searched job categories for Full Time Computational Engineering jobs are:

Full Time Computational Engineering jobs near you
Infographic showing various Full Time Computational Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Member of Technical Staff - Applied Computational Biologist

Valthos

New York, NY • On-site

Full-time

Posted 22 days ago

Job description

Applied Computational Biologist
Valthos Inc.
Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.
The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature's evolving mutational landscape.
We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT's Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use.
We are seeking an applied computational biologist who excels at translating operational needs into product strategy, and communicating how advances in AI can address real-world problems. You will own the computational biology contribution to major customer engagements; develop materials to communicate our research and product capabilities to technical and non-technical audiences; and convert operational needs into well-defined objectives for our biological AI and software teams. You will serve as a bridge between our research team and our customers: developing a deep understanding of our models, working directly with external scientific and technical teams to identify priority use cases, and translating what you learn into research, product, and go-to-market insights.
The Role
  • Develop a deep understanding of Valthos's models, methods, and roadmap
  • Build trusted technical relationships with customers and understand their scientific and operational priorities
  • Develop written materials that translate customer priorities into clear biological questions, use cases, evaluations, and technical requirements
  • This role begins with hands-on analytical execution and technical communications, and can grow into ownership of customer scientific strategy and applied product development
  • Communicate technical work: Define and drive how Valthos's research is positioned and applied externally, identifying the strongest technical approach for each opportunity and turning it into written proposals and customer programs.
  • Work with customers to scope and lead scientific work, including:
    • Defining the biological question and analytic approach, including choosing the model and datasets
    • Analyzing biological datasets and interpreting results for stakeholders
    • Working with researchers and engineers to translate successful analyses into repeatable workflows for real-world operational problems
  • Translate lessons from customer engagements into product requirements, research priorities, and go-to-market strategy

In your first year, you will provide technical leadership on customer engagements end-to-end: spanning understanding user operational priorities, proposal writing, and scientific engagement throughout a customer deployment. Through identifying applications and defining use cases you will shape how our research and product development can have the biggest impact in customers workflows today and in the future.
What We Require
  • Research experience in computational biology, bioinformatics, genomics, or a related field
  • Exceptional scientific and technical communication skills, including the ability to explain complex technical concepts clearly to different audiences through end-to-end technical analysis, case studies, and proposals
  • Ability to analyze biological data and interpret computational results
  • Proficiency in Python or a similar scientific computing language
  • Ability to work full-time and on-site in New York City or San Francisco

What We Value
  • Ability to dive deeply into complex technical questions
  • Strong scientific judgment and willingness to question assumptions
  • Ability to translate ambiguous customer problems into concrete scientific analyses
  • Motivation to drive real-world value from advances in research and development
  • Curiosity, low ego, and a willingness to learn quickly
  • Experience at the intersection of biology, machine learning, and genomics

If there is a fit, we'll schedule interviews focused on your technical background, scientific communication, and ability to translate computational biology into compelling customer applications. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.

Apply