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Uncertainty Quantification Jobs in Colorado (NOW HIRING)

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Uncertainty Quantification information

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$31.5K

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How much do uncertainty quantification jobs pay per year?

As of Aug 9, 2026, the average yearly pay for uncertainty quantification in Colorado is $73,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,300.00 and $87,300.00 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?

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 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.
Infographic showing various Uncertainty Quantification job openings in Colorado as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $73,032 per year, or $35.1 per hour.

Principal AI/ML Autonomy Engineer

Blue Origin

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Blue Origin rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

18th of 72 rated aerospace companies


Job description

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!

The role is part of the In-Space Systems business unit, which is focused on addressing two of the most compelling challenges in spaceflight today: space infrastructure and increasing mobility on-orbit.

About the Role

The Flight Software, AI and Autonomy organization is looking for a Principal AI/ML Autonomy Engineer.

This is a hands-on IC lead role. You are the architect, the builder, and the integrator. You'll define the embedded AI/ML strategy, develop and deploy the models, and work directly alongside flight software, ground systems, GNC, avionics, MLOps, and simulation engineers to build embedded autonomous systems. You'll develop the strategy and drive its success, with direct visibility to senior and executive leadership.

If you have a passion for space, autonomy and working with some of the best in industry, this role is for you!

Special Mentions:

  • Location:Denver, CO | Huntsville, AL. Relocation assistance is available.
  • Travel:Up to25%
  • Security Clearance:Ability to obtain a DoD U.S. Secret clearance (TS/SCI) required.

Responsibilities include but are not limited to:

  • You are the accountable technical lead for embedded AI/ML from architecture and model development through deployment and operational validation
  • Define and execute the technical roadmap
  • Identify, architect and fine tune embedded ML models optimized for the compute environment, balancing inference performance against strict SWaP-C (size, weight, power, and cost) constraints
  • Own the full ML lifecycle including data collection and pipeline development, model architecture, training, compression and quantization, hardware-aware optimization, and on-target validation
  • Integrate AI/ML models directly into the flight software stack, ensuring real-time performance, deterministic behavior, and compliance with safety and reliability requirements
  • Drive cross-functional technical alignment with FSW, avionics, ground systems, GN&C, and systems engineering, translating autonomous operations requirements into deployable, validated AI capabilities
  • Champion V&V and assurance practices for AI/ML in mission-critical, high-consequence space systems including uncertainty quantification, fault detection and isolation, runtime assurance, and adversarial robustness testing
  • Serve as the technical authority and force multiplier across the broader AI, FSW & Autonomy team, setting the bar, unblocking peers, and accelerating delivery through influence and expertise
  • Represent Blue National Security's AI/ML capability to government customers, program offices, and external partners

Minimum Qualifications:

  • B.S. in Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a related technical field
  • 10+ years in developing autonomy for mission/safety-critical embedded systems
  • 5+ years of hands-on experience developing and deploying AI/ML systems in a production environment with demonstrated emphasis on embedded or resource-constrained environments
  • Demonstrated experience deploying ML models on embedded flight or mission-critical hardware such as edge GPUs, FPGAs, DSPs, or radiation-tolerant processors under real-world performance constraints
  • Deep proficiency in Python and C/C++ for both model development and embedded software integration
  • Expertise in modern ML frameworks including PyTorch, TensorFlow, or ONNX Runtime
  • Hands-on experience with model optimization for edge deployment: quantization, pruning, TensorRT, TFLite, or equivalent toolchains
  • Proven ability to operate within real-time, resource-constrained software environments such as RTOS, bare-metal, or safety-critical OS
  • Demonstrated ability to lead through technical influence, driving architectural decisions, aligning cross-functional stakeholders, and delivering results without relying on organizational authority
  • Strong technical communication skills with the ability to brief executive leadership, government customers, and engineering peers with equal clarity and confidence
  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum

Preferred Qualifications:

  • M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, Aerospace Engineering, or a related field
  • Experience developing AI/ML for autonomous spacecraft operations including on-orbit fault detection and isolation, autonomous mission sequencing, rendezvous and proximity operations (RPO), or closed-loop vehicle control
  • Experience deploying ML on radiation-tolerant or space-grade compute such as NVIDIA Orin, Xilinx Versal, rad-hard SoCs, or FPGAs
  • Background in flight software development or avionics software integration in a mission-critical context
  • Experience with autonomous anomaly detection, fault management, and self-healing system architectures for long-duration or communications-denied operations
  • Familiarity with ROS/ROS2, DDS, or analogous middleware in embedded or robotic systems
  • Experience supporting DoD, USSF, NRO, or IC programs including direct customer engagement or proposal development
  • Active U.S. Secret or Top Secret/SCI clearance
  • Experience with simulation-to-hardware workflows and hardware-in-the-loop (HIL) testing for AI/ML validation
  • Familiarity with formal V&V methods for ML

Base Pay Range for:

CO applicants is $218,520.00 - $305,926.95

Other site ranges may differ


Culture Statement

Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.


Export Control Regulations

Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S.as a refugee or granted asylum.


Background Check

  • Required for all positions: Blue's Standard Background Check
  • Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
  • Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
  • Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical

Benefits

  • Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
  • Stock Options for all regular employees (working at least 20 hours/week)
  • Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
  • Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here.


Affirmative Action and Disability Accommodation

Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us atEEOCompliance@blueorigin.com. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.



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About Blue Origin

Sourced by ZipRecruiter

Blue Origin is a private aerospace manufacturing and suborbital spaceflight services company based in Kent, Washington, USA. Established in 2000 by Amazon founder Jeff Bezos, the company operates in the cutting-edge aerospace industry aiming to build a future where millions of people can live and work in space. They develop a variety of technologies, with a focus on reusable rocket systems which significantly reduce the cost of space travel. Blue Origin's core mission is to make this vision come to life by incrementally building on its successes with an ultimate vision of dramatic cost reduction and increased reliance on reusable spacecraft.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Kent, WA, US

Year founded

2000