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Computational Science Jobs in Austin, TX (NOW HIRING)

Neuralink

Neuroengineer, Next Gen

Austin, TX · On-site

Our team consists of scientists and engineers, working closely together to define the engineering ... Develop computational models of, and design encoding strategies for, electrical stimulation

Varsity Tutors

AP Computer Science A Tutor

Round Rock, TX · Remote

$18 - $40/hr

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Varsity Tutors

AP Computer Science A Tutor

San Marcos, TX · Remote

$18 - $40/hr

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

Varsity Tutors

AP Computer Science A Tutor

Austin, TX · Remote

$18 - $40/hr

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

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All JobsComputational Science JobsComputational Science Jobs in Austin, TX

Computational Science information

See Austin, TX salary details

$56K

$82.4K

$97.1K

How much do computational science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for computational science in Austin, TX is $82,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $92,700.00 per year, depending on experience, location, and employer.

What is computational science?

Computational science is an interdisciplinary field that uses advanced computing capabilities to understand and solve complex problems. It combines elements of mathematics, computer science, and domain-specific knowledge to create simulations, analyze data, and model physical, biological, or social systems. Computational scientists develop algorithms and use high-performance computing to tackle problems that are difficult or impossible to solve analytically. This field is essential in areas such as climate modeling, drug discovery, engineering, and physics.

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

To thrive as a Computational Scientist, you need a strong background in mathematics, programming (such as Python, C++, or MATLAB), and domain-specific scientific knowledge, often supported by an advanced degree in a relevant field. Familiarity with high-performance computing (HPC) systems, parallel processing frameworks, and scientific data analysis tools is typically required. Excellent problem-solving skills, collaboration, and effective communication set top candidates apart in interdisciplinary research environments. These skills and qualities are crucial for driving innovative scientific discovery and translating complex data into actionable insights.

What are some common challenges faced by computational scientists when working on interdisciplinary projects?

Computational scientists often collaborate with experts from fields like biology, physics, or engineering, which can present challenges in bridging gaps in domain-specific knowledge and communication styles. Adapting computational models to fit the unique requirements of different disciplines, while ensuring accuracy and efficiency, is a frequent hurdle. Additionally, managing large datasets and integrating diverse computational tools requires strong technical and organizational skills. Open communication and a willingness to learn from colleagues are key to overcoming these challenges and achieving successful project outcomes.

What is the difference between Computational Science vs Data Scientist?

AspectComputational ScienceData Scientist
Required CredentialsDegree in science, engineering, or computational fields; often requires advanced degreesDegree in statistics, computer science, or related fields; often requires knowledge of programming and analytics
Work EnvironmentResearch labs, universities, industry R&D departmentsTech companies, finance, healthcare, consulting firms
Industry UsageScientific research, simulation, modelingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Computational Science focuses on developing models and simulations to solve scientific and engineering problems, often requiring advanced degrees and research environments. Data Scientists analyze large datasets to extract insights and support decision-making, typically working in business or tech sectors. While both roles involve programming and data handling, their primary goals and work settings differ significantly.

Is computational science a good career?

Computational science is a viable career that involves using computer models, simulations, and data analysis to solve complex scientific problems. It typically requires strong skills in programming, mathematics, and domain knowledge, and offers opportunities in research, industry, and academia with competitive salaries and growth potential.

What can you do with a computational science degree?

A computational science degree prepares individuals for roles such as computational scientist, data analyst, simulation engineer, or research scientist. Graduates often work in industries like technology, healthcare, finance, or government, utilizing skills in programming, modeling, and data analysis to solve complex problems. Knowledge of tools like Python, MATLAB, or high-performance computing environments is also valuable.

What are popular job titles related to Computational Science jobs in Austin, TX?

For Computational Science jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Computational Science jobs in Austin, TX look for?

The top searched job categories for Computational Science jobs in Austin, TX are:

What cities near Austin, TX are hiring for Computational Science jobs?

Cities near Austin, TX with the most Computational Science job openings:

Computational Science jobs near you
Infographic showing various Computational Science job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $82,378 per year, or $39.6 per hour.

Senior Software Engineer I, Computational Geometry & BIM

ICON

Austin, TX

$121K - $160K/yr

Full-time

Re-posted 25 days ago

Job description

ICON is looking for an experienced, open-minded, structured thinker who loves to solve complex problems and appreciates the value of prototyping and iterating applications over time. As a Senior Software Engineer II focusing on Computational Geometry & BIM at ICON, you will be responsible for developing and architecting the pre-print, computational geometry software platform for ICON's construction printing systems. This role is based on site at our Austin, TX HQ Campus and will report to our Director of Software Engineering.

RESPONSIBILITIES:

  • Lead the design and implementation of new features and products to support our BuildOS design platform
  • Architect and develop cutting-edge geometric algorithms that unlock the potential of ICON 3D printing technology
  • Build and maintain internal tools to help visualize, instrument and debug the 3D printing process
  • Partner with Architects, Structural Engineers and Building Scientists to convert architectural plans to highly efficient and structurally sound path-planning algorithms
  • Work closely with R&D engineers to perfect print quality across ICON's lineup of devices and materials
  • Create robust software integrations with 3rd party CAD and CAM software
  • Design and develop BIM automation tooling to streamline architectural workflows and extract design intelligence from building models
  • Lead exploration and prototyping of AI-driven design approaches for generative design, design optimization, and intelligent automation of construction planning
  • Build systems that bridge architectural intent with manufacturing constraints through computational design
  • Drive technical standards and best practices for computational geometry systems


MINIMUM QUALIFICATIONS:

  • 8+ years of professional experience as a software engineer with demonstrated technical leadership
  • BS in Computer Science or equivalent experience
  • Proven ability to work closely with a wide variety of stakeholders to rapidly analyze and reduce large requirements into small deliverables
  • Strong experience building platforms, micro-services, and APIs at scale
  • Track record of architecting complex systems and making sound technical decisions
  • A willingness to accept failure, learn and try again, and an open mind to try solutions that may seem impossible at first
  • Excellent ability to communicate clearly and succinctly both in-person and via written asynchronous channels
  • Experience mentoring other engineers and contributing to team growth

PREFERRED SKILLS AND EXPERIENCE:

  • Advanced degree in Computer Science
  • A passion for learning new disciplines and gaining a deep understanding of how other professionals do their work
  • Strong Node.js and TypeScript experience, with a functional programming approach
  • Deep mathematical background in geometry, linear algebra, numerical analysis and advanced 3D mathematics
  • Strong intuition for physical systems and principles of stability
  • Extensive experience with tools and services that leverage three-dimensional trigonometry to calculate and analyze shapes and tool paths
  • Hands-on experience with BIM platforms (Revit, Rhino, Grasshopper) and their APIs for automation
  • Familiarity with AI/ML frameworks and applications in design, generative modeling, or optimization problems
  • Experience in computational design, algorithmic architecture, or design automation
  • React, Redux, and RxJs experience
  • Proven experience interfacing with CAD and CAM software APIs
  • Experience with parametric modeling frameworks and computational design tools
  • Strong interest in the principles of parametric architecture
  • PostgreSQL, GraphQL experience
  • Modern CI/CD workflows: GitHub, Jenkins, Travis, etc.
  • Experience with geometric kernel libraries (CGAL, Open CASCADE, etc.)

Apply