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Uncertainty Quantification Jobs in California (NOW HIRING)

Apple Inc.

Mechanical Architecture - FEA

San Diego, CA · On-site

$120 - $180/hr

Experience with DOE, optimization, uncertainty quantification, or statistical analysis. * Experience with simulation automation, surrogate models, or ML-based simulation acceleration. * Experience ...

Archer

Hybrid Turboshaft Systems/Integration

San Jose, CA · Hybrid

$172K - $216K/yr

Knowledge of simulation model validation, model calibration, and uncertainty quantification methods At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to ...

Relativity Space

Sr Aerodynamics Engineer

Long Beach, CA · On-site

$109K - $150K/yr

Scope and develop aerodynamics databases for ascent and entry including uncertainty quantification from CFD, wind tunnel, and empirical data sources * Drive the design of major Terran R system ...

Applied Physics

Seismologist

Los Angeles, CA

Develop uncertainty quantification or other techniques for correlating observed seismicity with fluid injection rates and volumes * Collect, aggregate, and analyze real-time data streams and develop ...

Snowflake

Senior Data Scientist

Menlo Park, CA · On-site

... uncertainty quantification, and scenario analysis. • Diagnose material forecast movements quickly and clearly, separating true business change from data issues, one-time events, timing shifts, and ...

Applied Physics

Seismologist

Los Angeles, CA · On-site

Develop uncertainty quantification or other techniques for correlating observed seismicity with fluid injection rates and volumes * Collect, aggregate, and analyze real-time data streams and develop ...

Applied Physics

Seismologist

Los Angeles, CA · On-site

Develop uncertainty quantification or other techniques for correlating observed seismicity with fluid injection rates and volumes * Collect, aggregate, and analyze real-time data streams and develop ...

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All JobsUncertainty Quantification JobsUncertainty Quantification Jobs in California

Uncertainty Quantification information

See California salary details

$29.6K

$68.5K

$119.4K

How much do uncertainty quantification jobs pay per year?

As of Aug 22, 2026, the average yearly pay for uncertainty quantification in California is $68,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,400.00 and $81,900.00 per year, depending on experience, location, and employer.

What is uncertainty quantification?

Uncertainty Quantification (UQ) is the science of quantifying, managing, and reducing uncertainties in computational models and real-world systems. It involves identifying sources of uncertainty in data, model parameters, and algorithms, then using statistical and mathematical methods to assess their impact on model predictions. UQ is essential in fields like engineering, finance, and environmental science to ensure that predictions and decisions are robust and reliable. Practitioners use techniques such as sensitivity analysis, probabilistic modeling, and Monte Carlo simulations to quantify and analyze uncertainties.

What are the key skills and qualifications needed to thrive as an uncertainty quantification specialist?

To thrive as an Uncertainty Quantification Specialist, you need a strong background in applied mathematics, statistics, and computational modeling, often supported by an advanced degree in a quantitative field. Familiarity with programming languages such as Python or MATLAB, and experience with simulation tools and statistical analysis software, are typically required. Strong problem-solving skills, attention to detail, and effective communication help professionals convey complex concepts to interdisciplinary teams. These skills are crucial for accurately assessing risks, making data-driven decisions, and improving the reliability of models in engineering, finance, or scientific research.

What are some common challenges faced by professionals in uncertainty quantification when working on multidisciplinary teams?

Professionals in Uncertainty Quantification (UQ) often collaborate with experts from fields like engineering, data science, and physics. A common challenge is communicating complex statistical concepts in an accessible way to team members without a quantitative background. Additionally, integrating uncertainty models into existing workflows and ensuring that all stakeholders understand how uncertainty impacts decision-making can be demanding. Effective UQ professionals are proactive in facilitating clear communication and tailoring their approach to fit the needs of diverse teams.

What is the difference between Uncertainty Quantification vs Data Scientist?

AspectUncertainty QuantificationData Scientist
Required credentialsAdvanced degrees in engineering, mathematics, or statisticsDegree in computer science, statistics, or related fields
Work environmentResearch labs, engineering firms, simulation-based industriesTech companies, finance, healthcare, and marketing
Industry usageEngineering, aerospace, manufacturing, scientific researchBusiness analytics, product development, predictive modeling

Uncertainty Quantification focuses on assessing and reducing uncertainty in models and simulations, often requiring advanced mathematical skills. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles involve statistics and data analysis, Uncertainty Quantification is more specialized in modeling uncertainties in engineering and scientific contexts, whereas Data Scientists work across diverse industries with a broader focus on data-driven insights.

What are popular job titles related to Uncertainty Quantification jobs in California?

For Uncertainty Quantification jobs in California, the most frequently searched job titles are:

What job categories do people searching Uncertainty Quantification jobs in California look for?

The top searched job categories for Uncertainty Quantification jobs in California are:

What cities in California are hiring for Uncertainty Quantification jobs?

Cities in California with the most Uncertainty Quantification job openings:

Uncertainty Quantification jobs near you
Infographic showing various Uncertainty Quantification job openings in California as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $68,544 per year, or $33 per hour.

Thermal Systems Design, Hybrid Powertrain

Archer

San Jose, CA • Hybrid

$172K - $216K/yr

Full-time

Re-posted 6 days ago

Job description

What you'll do:

  • Own, design, model and deliver a novel thermal system for our Hybrid aircrafts thermal design
  • Select the right technology, materials and for a very complex and novel thermal system
  • Design it so it's light, performatively and cost effective
  • Prove that the system is as good as you think it is -  through test definition
  • Work with stakeholders to deliver the complete system
  • Manage design lifecycle, including interfacing with manufacturing and test teams
  • Attend and present your designs to stakeholders
  • Interface with supply chain, quality, manufacturing, and stress / FEA engineers

What you'll need:

  • BS / MS / PhD in a related scientific or engineering field.
  • 5+ years experience in mechanical design
  • Strong fundamentals and demonstrated understanding complex system design
  • Experience with stress and finite element analysis
  • Experience with Siemens NX and suite of tools
  • A systematic approach to problem-solving and the ability to communicate complex, technical rationale to multidisciplinary stakeholders.
  • Extremely self-motivated with the ability to work independently and lead technical initiatives 
  • Strong written and verbal communication skills; experience writing comprehensive technical reports and documents.
  • Proficiency in PDM and PLM environments

Nice to have:

  • Prior experience with hybrid-electric aircraft, turbegenerators, eVTOLs, or hybrid automotive powertrains.
  • Familiarity with FAA or EASA certification 
  • Knowledge of simulation model validation, model calibration, and uncertainty quantification methods
At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that support the Company's strategy. For this position, we are targeting a base pay range of $172,000 - $216,000. Actual compensation offered will be determined by job-related knowledge, skills, and experience.Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer's People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

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