Job Summary 

Reporting to the Manager, Structural Integrity & Materials Modeling, the Principal Engineer, Structural Integrity of Metallic Systems, Structures & Components (SSCs) will drive the development and deployment of novel analysis methods and numerical models used for the design, licensing and operation of the Kairos Power fluoride salt-cooled, high-temperature reactors (KP-FHRs). They will also closely support the Materials and Engineering Design teams with ongoing and future qualification testing, design-for-construction and fitness-for-service programs.

Responsibilities 

• Lead the extension and application of structural integrity assessment methods and procedures to future commercial FHR units
• Conduct and review defect tolerance (DTA) and fitness-for-service (FFS) assessments of KP-FHR SSCs
• Support the company’s design-for-construction and materials qualification efforts by performing and reviewing Finite Element Analysis (FEA) of metallic SSCs
• Lead the development, verification and validation of deformation and damage models of high carbon stainless steels
• Collaborate cross-functionally with various engineering teams on efforts such as uncertainty quantification (UQ), software Quality Assurance (SQA), software and hardware acquisition, and support of management and work program leadership in meeting company’s licensing milestones and deliverables
• Other duties as assigned

Qualifications 

• MS or PhD degree in Mechanical, Nuclear, or Materials Engineering, Materials Science, Applied Mathematics, or related field strongly preferred
• 15+ years of experience with FEA required; APDL & Usermat (Ansys) or UMAT (Abaqus) experience strongly preferred
• Knowledge of inelastic deformation and failure mechanisms of ductile structural components operating at high temperature and under irradiation required and preferred, respectively
• Knowledge of Fracture Mechanics is required; Experience in application and knowledge of Construction and Fitness-for-Service codes (e.g., ASME III & XI, API 579, UK R5/R6, BS-7910, RCC-MRx) is preferred
• Working experience with scientific & scripting programming languages (e.g., C++, Fortran, Python and Matlab)
• Working experience with model calibration and optimization techniques as well uncertainty quantification
• Ability to function in a fast-paced company environment with minimal direction and adjust workload based upon changing priorities
• Proven team player with excellent interpersonal, written, presentation, and verbal communication skills
• Ability to work with highly collaborative team
• Ability to problem solve quickly and efficiently
• Ability to proactively collect, manage and transfer knowledge
• Ability to seek different and novel ways to create efficiencies when working on problems, challenges and issues
• Prioritizes and ensures safety of oneself and others

Physical Conditions

• Remaining in a stationary position, often standing, or sitting for prolonged periods
• Moving about to accomplish tasks or moving from one worksite to another
• Communicating with others to exchange information

Environmental Conditions

• General office environment
• Noisy environments (if visiting manufacturing areas to collaborate)
• Accessing the accuracy, neatness and thoroughness of the work assigned
• High-concentration, demanding and fast-paced
• Autonomously driven and demanding atmosphere

Safety and PPE

• Reading and interpreting hazardous warning signs
• Reporting issues with equipment or unsafe conditions
• Wearing proper PPE, to include face mask, face shields, gloves, safety shoes, as required

Travel

• Some travel may be required (up to 10%) to other Kairos Power offices and meeting locations.

The salary range for this position is $166,700 to $208,400 for employees working onsite at our Alameda, CA headquarters. The range provided in this job posting represents the typical range or starting rate of candidates hired in California. Factors that may be used to determine your actual salary may include your education, experience, knowledge, skills, abilities, the market data for your work location, and a comparison to other employees already in the role.