Leveraging commercial MDAO frameworks, you will automate engineering workflows, pioneer advanced methods like Uncertainty Quantification (UQ), and proficiently apply cutting-edge AI tools to ...
Leveraging commercial MDAO frameworks, you will automate engineering workflows, pioneer advanced methods like Uncertainty Quantification (UQ), and proficiently apply cutting-edge AI tools to ...
Incorporate a broad range of economic, financial, and business variables to address practical issues in budget planning and management, and conduct uncertainty quantification. * Develop and deploy ...
Incorporate a broad range of economic, financial, and business variables to address practical issues in budget planning and management, and conduct uncertainty quantification. * Develop and deploy ...
Incorporate a broad range of economic, financial, and business variables to address practical issues in budget planning and management, and conduct uncertainty quantification. * Develop and deploy ...
Incorporate a broad range of economic, financial, and business variables to address practical issues in budget planning and management, and conduct uncertainty quantification. * Develop and deploy ...
Uncertainty quantification, and robustness/sensitivity evaluations. * Support development and maintenance of reproducible computational pipelines. * Assist with preparation of technical and ...
Uncertainty quantification, and robustness/sensitivity evaluations. * Support development and maintenance of reproducible computational pipelines. * Assist with preparation of technical and ...
... uncertainty quantification, active learning, and inverse problems (e.g., geometry and shape optimization) • Ensure all AI systems are rigorously validated and vetted for accuracy, robustness, and ...
... uncertainty quantification, active learning, and inverse problems (e.g., geometry and shape optimization) • Ensure all AI systems are rigorously validated and vetted for accuracy, robustness, and ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
... uncertainty quantification, and data engineering. You will work closely with other groups to support the missions of the Laboratory. You will work closely with multidisciplinary teams and ...
... uncertainty quantification, and data engineering. You will work closely with other groups to support the missions of the Laboratory. You will work closely with multidisciplinary teams and ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Physics-Informed Machine Learning Specialist
Livermore, CA · On-site
$9.7K/wk
... uncertainty quantification, and data engineering. You will work closely with other groups to support the missions of the Laboratory. You will work closely with multidisciplinary teams and ...
Physics-Informed Machine Learning Specialist
Livermore, CA · On-site
$9.7K/wk
... uncertainty quantification, and data engineering. You will work closely with other groups to support the missions of the Laboratory. You will work closely with multidisciplinary teams and ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Probabilistic Forecasting & Uncertainty Quantification: Develop forecasting and probabilistic modeling approaches that represent uncertainty, confidence ranges, scenario distributions, and ...
Probabilistic Forecasting & Uncertainty Quantification: Develop forecasting and probabilistic modeling approaches that represent uncertainty, confidence ranges, scenario distributions, and ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Nuclear Engineering Data Scientist
Lynchburg, VA · On-site
$86K - $136K/yr
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Nuclear Engineering Data Scientist
Lynchburg, VA · On-site
$86K - $136K/yr
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Develop cross-validation, calibration, and uncertainty-quantification strategies that hold up to the realities of small clinical cohorts and high feature counts * Investigate and mitigate batch ...
Quick apply
Develop cross-validation, calibration, and uncertainty-quantification strategies that hold up to the realities of small clinical cohorts and high feature counts * Investigate and mitigate batch ...
Develop cross-validation, calibration, and uncertainty-quantification strategies that hold up to the realities of small clinical cohorts and high feature counts * Investigate and mitigate batch ...
Develop cross-validation, calibration, and uncertainty-quantification strategies that hold up to the realities of small clinical cohorts and high feature counts * Investigate and mitigate batch ...
... uncertainty quantification, and data engineering. You will work closely with other groups to support the missions of the Laboratory. You will work closely with multidisciplinary teams and ...
... uncertainty quantification, and data engineering. You will work closely with other groups to support the missions of the Laboratory. You will work closely with multidisciplinary teams and ...
Uncertainty Quantification information
See salary details
$30K - $38.3K
11% of jobs
$45.7K is the 25th percentile. Wages below this are outliers.
$38.3K - $46.5K
16% of jobs
$46.5K - $54.8K
11% of jobs
The median wage is $61K / yr.
$54.8K - $63.1K
17% of jobs
$63.1K - $71.4K
9% of jobs
$79.3K is the 75th percentile. Wages above this are outliers.
$71.4K - $79.6K
13% of jobs
$79.6K - $87.9K
10% of jobs
$87.9K - $96.2K
3% of jobs
$96.2K - $104.5K
3% of jobs
$104.5K - $112.7K
5% of jobs
$112.7K - $121K
3% of jobs
$30K
$69.5K
$121K
How much do uncertainty quantification jobs pay per year?
As of Jul 12, 2026, the average yearly pay for uncertainty quantification in the United States is $69,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $83,000.00 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 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?
| Aspect | Uncertainty Quantification | Data Scientist |
|---|---|---|
| Required credentials | Advanced degrees in engineering, mathematics, or statistics | Degree in computer science, statistics, or related fields |
| Work environment | Research labs, engineering firms, simulation-based industries | Tech companies, finance, healthcare, and marketing |
| Industry usage | Engineering, aerospace, manufacturing, scientific research | Business 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 the key skills and qualifications needed to thrive as an Uncertainty Quantification Specialist, and why are they important?
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.
More about Uncertainty Quantification jobs
What cities are hiring for Uncertainty Quantification jobs? Cities with the most Uncertainty Quantification job openings:
What states have the most Uncertainty Quantification jobs? States with the most job openings for Uncertainty Quantification jobs include:
What job categories do people searching Uncertainty Quantification jobs look for? The top searched job categories for Uncertainty Quantification jobs are:
Air-Vehicle Multidisciplinary Design Analysis and Optimization (MDAO) Engineer
Costa Mesa, CA
Other
Re-posted 26 days ago
Anduril rating
9.4
Based on 7 frontline employees who took The Breakroom Quiz
Job description
ABOUT THE JOB REQUIRED QUALIFICATIONS
Anduril's Air Dominance & Strike (AD&S) Division is rapidly reshaping the future of peer-to-peer conflict. We are building the next generation of affordable, collaborative combat aircraft, missiles, and the autonomous software that powers them. As we scale, we are seeking a visionary Air-Vehicle Multidisciplinary Design Analysis and Optimization (MDAO) Engineer to join our fast-growing team. You will be instrumental in driving the rapid development of cutting-edge weapon systems by integrating and optimizing across the entire design lifecycle. This role is for an engineer who challenges traditional silos between conceptual design, preliminary development, and detailed engineering, bringing together diverse discipline experts to form cohesive, multi-fidelity workflows.
We're looking for someone who understands that models are not just for analysis, but are critical tools for informing every stage of product development - from early design decisions to operational sustainment. Your expertise will bridge the gap between engineering analysis, hardware, and software development, ensuring our modeling and tooling choices directly contribute to delivering mission-critical systems to our customers.
The ideal candidate possesses a strong and broad foundation in computational engineering analysis, adept at modeling both steady-state and transient phenomena. You will integrate disciplinary models (e.g., controls, guidance, mission systems, 6DOF simulations, subsystems, manufacturing) earlier into design iterations. Leveraging commercial MDAO frameworks, you will automate engineering workflows, pioneer advanced methods like Uncertainty Quantification (UQ), and proficiently apply cutting-edge AI tools to accelerate and optimize MDAO processes. Experience with CAD scripting (e.g., Engineering Sketch Pad) for parameterized geometry, operational analysis codes, and a deep understanding of error and uncertainty in modeling complex systems are highly desirable.
If you are a highly skilled MDAO practitioner ready to leverage your expertise to revolutionize defense capabilities, this role is for you.
WHAT YOU'LL DO- Lead MDAO Initiatives: Collaborate with air-vehicle design and analysis disciplines and technical leadership across AD&S programs to define and execute critical trade studies, building robust, data-driven workflows using commercial MDAO frameworks.
- Strategic Development: Work with the AD&S Engineering Tools Lead to shape the strategic roadmap for MDAO capabilities, deploy multi-fidelity workflows across programs, and document available resources.
- Geometry Generation: Design and implement robust, parameterized, watertight, CAD-based scripted geometry models to enable multidisciplinary analysis and ensure consistent results.
- Accelerate Design Insights: Drive the earlier integration of disciplinary models into the design process, providing rich data to inform critical tradespace decisions.
- Pioneer Methodologies: Develop and apply cutting-edge MDAO methods and models to significantly increase the efficiency and effectiveness of AD&S teams.
- Apply AI to MDAO: Innovate and deploy Artificial Intelligence (AI) solutions within MDAO workflows to enhance efficiency and discovery.
- Optimize Workflows: Identify gaps, bottlenecks, and recommend solutions to continuously improve multi-fidelity workflows.
- Execute Advanced Analyses: Assemble and run automated MDAO workflows, Design of Experiments (DOE), optimizations, sensitivity analyses, and Uncertainty Quantification (UQ) for AD&S programs.
- Mentor & Guide: Direct discipline experts on efficient methods and approaches to create "MDAO-hardened" models and tools suitable for robust multi-fidelity workflows.
- Document & Train: Develop and maintain comprehensive documentation and training materials for new and experienced technical experts utilizing MDAO technologies across AD&S.
- Bachelor's or higher degree from an accredited program in Engineering, Physics, Mathematics, or Computer Science.
- 8+ years of experience in aircraft and/or missile design and analysis.
- 3+ years of hands-on experience developing MDAO methods, demonstrating broad understanding across multiple engineering disciplines, such as: Cost, Configuration Design, Mass Properties, Lethality, Structures, Propulsion, Aerodynamics, Vehicle Performance, Thermal Management, Power Management, Systems Engineering, Survivability, Operational Analysis, Mission Systems, Avionics, Launch Systems, and GNC (Guidance, Navigation & Controls).
- Proven experience in developing and deploying MDAO workflows and toolsets.
- Expertise in applying optimization, sensitivity analysis, Uncertainty Quantification (UQ), and Design of Experiments (DOE) methods.
- Demonstrable ability to apply large language models and/or develop AI models to enhance or accelerate engineering processes and tasks with measurable efficiency improvements.
- Proficiency in higher-level scripting languages (Python, MATLAB) within a version-controlled environment (preferably Git), with exposure to compiled languages (C, C++, FORTRAN).
- Strong collaborative spirit and a desire to contribute to methods development and process workflows in a team setting.
- Exceptional written and verbal communication skills, particularly in organizing and presenting complex MDAO insights to inform stakeholders quickly and concisely.
- Ability to obtain and maintain a DoD Secret security clearance and Special Access Program (SAP) eligibility.
- Advanced degree in Engineering, Physics, Mathematics, or Computer Science.
- Experience developing MDAO workflows and toolsets using commercial MDAO framework software (e.g., ModeFRONTIER/VOLTA, Siemens HEEDS, or similar environments).
- Ability to obtain and maintain a DoD Top Secret security clearance and SAP eligibility.
About Anduril Industries
Sourced by ZipRecruiter
Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.
Industry
Guided missile and space vehicle manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Costa Mesa, CA, US
Year founded
2017