Product Engineer - Reliability Modeling & Statistics

Company: Disability Solutions
Location: Ann Arbor
Posted on: April 1, 2025

Job Description:

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.Job Description/Preferred QualificationsJob 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-solvingPreferred 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 plusMinimum 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 skillsBase 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 do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. 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. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation. 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 KLA's Careers website 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 talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Keywords: Disability Solutions, Ann Arbor , Product Engineer - Reliability Modeling & Statistics, Engineering , Ann Arbor, Michigan