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What is a computational designer?

Computational designers are professionals who use computer-based tools, algorithms, and programming to create, analyze, and optimize designs, often in fields such as architecture, engineering, and product development. They use software and scripting languages to automate repetitive tasks, generate complex geometries, and simulate real-world performance. Working remotely, computational designers collaborate online with teams to solve design challenges, streamline workflows, and create innovative solutions. Their expertise bridges the gap between design creativity and technical efficiency, making them valuable assets in technology-driven industries.

What are the key skills and qualifications needed to thrive as a computational designer in a remote setting, and why are they important?

To thrive as a Computational Designer remotely, you need expertise in computational design principles, proficiency in parametric modeling, and a background in architecture, engineering, or a related field. Familiarity with tools like Grasshopper, Rhino, Python, and BIM software, as well as experience with cloud-based collaboration platforms, is typically required. Strong problem-solving, self-motivation, and clear communication skills help you excel in distributed teams and convey complex ideas effectively. These competencies are crucial for delivering innovative, efficient design solutions and maintaining productivity in a remote work environment.

How does a remote computational designer typically collaborate with multidisciplinary teams on projects?

Remote Computational Designers frequently work with architects, engineers, and software developers to create data-driven design solutions. Collaboration often happens through virtual meetings, shared digital workspaces, and version-controlled repositories for scripts and models. Clear communication and regular updates are essential to align on project goals and integrate computational tools smoothly into the design process. Leveraging collaborative platforms like Slack, Miro, or BIM 360 helps ensure effective teamwork and timely feedback, even when team members are in different locations.
What are the most commonly searched types of Computational Designer jobs in New York? The most popular types of Computational Designer jobs in New York are:
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Computational Designer Remote jobs near you

Astrophysics Software Designer - Expert

Mercor

New York, NY • On-site, Remote

$70 - $100/hr

Full-time

Re-posted 20 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: STEM Computational Scientific Software & Evaluation Design - Astrophysics & Cosmology
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design graduate-level computational problems using domain-specific scientific software libraries.
  • Evaluate AI systems' ability to solve research-grade problems, from querying simulations to interpreting outputs.
  • Develop experimental strategies to recover hidden information from data, emphasizing strategic reasoning.
  • Calibrate tasks against state-of-the-art AI models, refining problem designs to achieve target difficulty.
  • Work independently and asynchronously to iterate on problem designs based on calibration feedback.
  • Utilize astropy and related tools for cosmological calculations and observational data reduction.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
  • Demonstrated proficiency with scientific software libraries, evidenced by research publications or professional work.
  • Strong Python programming skills for writing problem setups and solution validators.
  • Ability to work in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific pedagogy or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.