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Remote Scientific Computing Jobs in California (NOW HIRING)

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

... remote-sensing data, or geospatial intelligence * Background in physics-informed ML, simulation modeling, or data assimilation * Contributions to open-source ML or scientific computing frameworks How ...

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Remote Scientific Computing information

What is the difference between Remote Scientific Computing vs Remote Data Analysis?

AspectRemote Scientific ComputingRemote Data Analysis
Required CredentialsTypically requires degrees in science, engineering, or computer science; knowledge of programming and simulation toolsOften requires degrees in statistics, data science, or related fields; proficiency in data manipulation and visualization
Work EnvironmentResearch labs, academic institutions, or corporate R&D; often involves high-performance computingBusiness, finance, healthcare sectors; primarily involves analyzing datasets and generating reports
Employer & Industry UsageResearch institutions, tech companies, scientific organizationsFinancial firms, healthcare providers, marketing agencies

Remote Scientific Computing focuses on developing and running simulations, models, and scientific computations, often requiring specialized software and high-performance hardware. Remote Data Analysis centers on interpreting datasets, creating visualizations, and deriving insights, typically using statistical tools. While both roles involve data and programming, their core tasks and industries differ significantly.

Is remote scientific computing in demand?

Remote scientific computing is in high demand due to the increasing reliance on data analysis, modeling, and simulation across industries such as healthcare, energy, and technology. Professionals with skills in programming, data management, and familiarity with tools like Python, R, or MATLAB are sought after, especially in organizations supporting distributed teams and cloud-based environments.

What are the most commonly searched types of Scientific Computing jobs in California?

The most popular types of Scientific Computing jobs in California are:

What are popular job titles related to Remote Scientific Computing jobs in California?

For Remote Scientific Computing jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Scientific Computing jobs in California look for?

The top searched job categories for Remote Scientific Computing jobs in California are:

What cities in California are hiring for Remote Scientific Computing jobs?

Cities in California with the most Remote Scientific Computing job openings:

Physics PhD - Quantum Computing Expert

San Francisco, CA • Remote

$70/hr

Full-time

Posted yesterday

New


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: Physics PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role Responsibilities

  • Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
  • Write scientific prompts based on sourced inputs.
  • Build grading criteria to define correct answers.
  • Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than they succeed.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in physics, applied physics, or a closely related field.
  • Depth in at least two subdomains: condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics.
  • Working proficiency in Python, R, or another relevant programming language for scientific computing.
  • Comfortable with Git/GitHub and running code in Docker.

Preferred

  • Publications in peer-reviewed journals.
  • Prior scientific software or research engineering experience.

Start Date

  • Immediate

Interview Process

  • Upload your resume and application form.
  • A 25-minute conversational interview covering your background, experience, and motivations.
  • Follow up within a few days with next steps and onboarding.

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.