Description

/Preferred Qualifications Job Scope and Complexity: Initially understand reliability models, then gradually own and run them to generate engineering insights

Identify gaps between models and real-world scenarios, and develop innovative ideas to bridge these gaps with clever assumptions

Write code as necessary to develop a fundamental understanding of reliability and statistical problems, and present insights and visualizations concisely

Collaborate with cross-functional groups to obtain extensive data from the field and validate model results against field results

Continuously drive innovation and features in the reliability, availability, and maintainability modeling domain

Deliver written periodic reports to keep the wider team informed about status and progress

Present ideas and results in concise decks and summary documents

Lead cross-functional technical groups, convey key ideas, resolve differing viewpoints with a collaborative spirit, and move discussions forward

Eager to learn and adept at picking up new technical concepts and software

Be self-driven with a drive for problem-solving

Preferred Qualifications: Familiarity with any commercial reliability software (e.g., ReliaSoft)

Demonstrated experience with part level and system level reliability analysis. Experience with reliability analysis of complex equipment systems a plus.

Experience with failure mode analysis

Familiarity with SQL and PBI

Demonstrated experience using statistical and visualization packages for problem solving (e.g., JMP, Matlab, R, Python, PBI, Tableau, etc.). Familiarity with SQL is a plus.

Master’s degree or doctorate in related discipline is preferred

Experience in the framework of a Product Life Cycle and SEMI E10 definitions is a plus

Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

Degree in mechanical engineering, electrical engineering, computer science engineering, statistics, or related engineering discipline

Demonstrated experience of advancing solutions to technical problems in a cross-functional and multidisciplinary environment

Evidence of learning new software and adaptability to continuously learn new technical topics

Evidence of applying statistics in solving real world industrial problems. A strong understanding of statistical distributions and their applications in real world (e.g., Weibull, exponential, etc.)

A strong grasp of basic probability concepts. An understanding of Bayes’ probability framework is considered a plus.

Evidence of proficiency in coding to solve applied industrial problems

Strong interpersonal and communication skills

Base Pay Range: $91,900.00 - $156,200.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.