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Remote Computational Design Jobs in New York (NOW HIRING)

Senior Software Engineer

New York, NY ยท On-site +1

$134K - $176K/yr

... in computational methods (generative design, simulation, optimization, and environmental modeling). * Experience analyzing scientific and spatial datasets, specifically utilizing GIS and remote ...

... design and manufacture to our customers including Government funded research, Biotech and large ... Integrate different types of genomics data and prepare concise presentations of computational ...

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Remote Computational Design information

How do remote computational designers typically collaborate with multidisciplinary teams to ensure project success?

Remote computational designers often work closely with architects, engineers, and software developers through digital collaboration tools such as BIM platforms, cloud-based modeling software, and video conferencing. Regular virtual meetings, shared digital workspaces, and clear documentation help maintain effective communication and project alignment. To overcome challenges posed by physical distance, it's important for remote designers to be proactive in updates, responsive to feedback, and adaptable to different time zones. This collaborative approach ensures that design intents are accurately translated into computational models and that all team members stay informed throughout the project lifecycle.

What are the key skills and qualifications needed to thrive as a Remote Computational Designer, and why are they important?

To thrive as a Remote Computational Designer, you need expertise in computational geometry, algorithm development, and digital modeling, usually backed by a degree in architecture, engineering, or a related field. Proficiency with tools such as Grasshopper, Rhino, Dynamo, and programming languages like Python or C# is essential, along with familiarity with collaboration platforms. Strong problem-solving, communication, and self-management skills help you excel in remote settings and interdisciplinary teams. These skills are crucial for creating innovative design solutions, efficiently collaborating across distances, and meeting complex project requirements.

What is remote computational design?

Remote computational design refers to the use of algorithms, programming, and digital tools to create and optimize design solutions while working from a location outside of a traditional office. Professionals in this field leverage software like Grasshopper, Rhino, or Autodesk Dynamo to automate and enhance the design process for architecture, engineering, or product development. Working remotely, these designers collaborate with teams and clients through digital communication platforms, enabling flexibility and global cooperation.
What are the most commonly searched types of Computational Design jobs in New York? The most popular types of Computational Design jobs in New York are:
What job categories do people searching Remote Computational Design jobs in New York look for? The top searched job categories for Remote Computational Design jobs in New York are:
What cities in New York are hiring for Remote Computational Design jobs? Cities in New York with the most Remote Computational Design job openings:
Infographic showing various Remote Computational Design job openings in New York as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 44% In-person, and 56% Remote job distribution.

Cosmology Specialist - Fully Remote | Upto $100/hr

Mercor

New York, NY โ€ข Remote

$100/hr

Full-time

Re-posted 11 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: $70โ€“$100/hour
Location: Remote
Commitment: 15โ€“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 15โ€“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 20โ€“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.