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Antares Nuclear

Develops autonomous microreactors for remote power

Staff-Principal Reliability Engineer

Mechanical Maintenance and Reliability EngineeringUpdated on Nov 14
Full-timeTorrance, CA, USA$195k - $295k /yr

About the Job

Requirements

  • A bachelor's degree in engineering, applied mathematics, physics, statistics, or a related technical field is required.
  • At least 8 years of experience performing reliability, root cause analysis, failure analysis, statistical analysis, or similar quantitative engineering work on complex hardware systems is required.
  • Working knowledge of statistics, probability, failure modes, and reliability engineering fundamentals is required.
  • Ability to understand mechanical and electrical systems sufficiently to evaluate likely failure mechanisms and reliability risks is required.
  • Ability to analyze technical data, develop quantitative conclusions, and communicate recommendations to engineering teams is required.

Responsibilities

  • Own quantitative reliability analysis for the Antares R1 microreactor, including development and maintenance of reactor- and plant-level reliability, availability, and capacity factor models.
  • Establish reliability targets for reactor systems, subsystems, and critical components based on overall plant capacity factor, regulatory requirements, and mission requirements.
  • Translate top-level reactor availability and capacity factor goals into measurable reliability requirements for individual mechanical, electrical, controls, thermal, and balance-of-plant systems.
  • Develop and maintain reliability block diagrams, fault trees, failure mode analyses, and other quantitative models to understand how component and subsystem failures affect overall reactor performance and availability.
  • Calculate and track reliability metrics including failure rates, mean time between failures, mean time to repair, availability, probability of mission success, component life, and expected contribution to reactor downtime.
  • Identify components and failure modes with the greatest impact on reactor capacity factor and lead focused efforts to reduce those risks.
  • Work with mechanical, electrical, controls, manufacturing, test, and reactor systems engineers to develop reliability improvement plans for the lowest-performing or highest-risk parts of the design.
  • Evaluate design alternatives and architecture trades based on their impact on reliability, redundancy, maintainability, serviceability, and reactor capacity factor.
  • Perform sensitivity and uncertainty analyses to determine which assumptions, failure rates, repair times, and component behaviors most strongly influence predicted reactor availability.
  • Develop reliability predictions using component test data, supplier data, industry databases, accelerated life testing, engineering analysis, and field experience.
  • Establish statistically sound methods for converting development and qualification test results into reliability estimates and confidence bounds.
  • Define reliability demonstration and qualification test strategies, including sample sizes, test durations, failure criteria, confidence levels, and statistical acceptance methods.
  • Use operational, manufacturing, inspection, and test data to continuously update reliability models and improve predictions as the reactor design matures.
  • Lead or support design failure mode and effects analysis, failure mode and effects analysis, failure mode, effects, and criticality analysis, fault tree analysis, and related structured failure-mode investigations across reactor systems.
  • Partner with design teams early in the development process to identify single-point failures, wear-out mechanisms, common-cause vulnerabilities, inadequate redundancy, difficult-to-maintain components, and other reliability risks before designs are released.
  • Evaluate component degradation and life-limiting mechanisms, including fatigue, creep, wear, corrosion, thermal cycling, radiation exposure, electrical degradation, and environmental effects as applicable to the reactor design.
  • Develop reliability growth plans for systems that do not initially meet program targets and track progress toward demonstrated reliability objectives.
  • Support decisions regarding redundancy, sparing, preventative maintenance, inspection intervals, replacement intervals, and repair strategies based on quantitative reliability and availability analysis.
  • Work with operations and deployment teams to understand expected maintenance and repair activities and incorporate them into reactor availability and capacity factor predictions.
  • Establish reliability dashboards, metrics, and technical reviews that enable engineering leadership to understand the major drivers of reactor downtime and where engineering effort should be focused.
  • Communicate reliability risks and recommendations to engineers and program leadership, including the quantitative impact of proposed design or operational changes on overall reactor performance.
  • Serve as a technical authority for reliability engineering methods and help establish internal standards, tools, processes, and best practices for designing highly reliable reactor systems.
  • Promote continuous reliability improvement through analysis, testing, manufacturing data, and operational learning, treating reliability as a design requirement rather than evaluating it only after hardware is complete.

Desired Qualifications

  • Experience with reliability engineering in nuclear, aerospace, space, automotive, energy, defense, or other safety- or mission-critical hardware industries.
  • Experience with reliability block diagrams, fault trees, failure mode and effects analysis, failure mode, effects, and criticality analysis, Weibull analysis, mean time between failures, mean time to repair, probabilistic risk assessment, availability modeling, or reliability growth methods.
  • Experience translating system-level availability or capacity factor targets into subsystem and component reliability requirements.
  • Experience with or understanding of risk-informed component classification and knowledge of 10 CFR 50.69.
  • Familiarity with mechanical and electrical design, manufacturing processes, qualification testing, material capabilities and limitations, and common hardware failure mechanisms.
  • Experience using test, field, or production data to estimate failure rates and update reliability predictions.
  • Experience driving design changes or reliability improvement plans based on quantitative reliability analysis.
  • Familiarity with statistical tools or programming languages and relevant libraries used for engineering analysis, such as Python, MATLAB, Octave, R, Minitab, SAS, or similar.

About the Company

Antares Nuclear

Develops autonomous microreactors for remote power

Preparing company description.

Company size
51-200
Company stage
Grant
Total funding
$765.1M
Headquarters
Los Angeles, CA
Founded
2023

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