Contribute to the adoption of modern engineering practices, including Model-Based Systems Engineering (MBSE), digital twins, and digital thread initiatives.
Help streamline Engineer-to-Order (ETO) and Configure-to-Order (CTO) processes by supporting product configuration and options management improvements.
Collaborate with cross-functional teams across Engineering, Manufacturing, Quality, Quoting, IT, and Product Management to drive process enhancements and user adoption.
Participate in business transformation and technology implementation projects that improve productivity, scalability, and digital adoption.
Evaluate and implement technology solutions that simplify processes, improve data quality, and enhance user experience.
Support the integration of AI, machine learning, and analytics capabilities into business processes to improve decision-making, operational insights, and speed to market.
Promote best practices, continuous improvement, and change management while helping teams adapt to new tools and ways of working.
Who we’re looking for
Bachelor’s degree in Business, Computer Science, Engineering, Mathematics, Statistics, or a related field. Master's degree or MBA is a plus.
6-8 years of experience in operations, business process improvement, digital transformation, or systems implementation within complex organizations.
Understanding of product lifecycle management (PLM), product portfolio management, manufacturing, or engineering processes.
Experience working with enterprise platforms such as Siemens Teamcenter and NX
Knowledge of New Product Introduction (NPI), product configuration, BOM management, lifecycle management, workflows, and approval processes.
Familiarity with system implementation methodologies and software development lifecycle concepts.
Strong analytical and problem-solving skills with the ability to navigate ambiguity and changing priorities.
Experience identifying process improvement opportunities and evaluating new tools or technologies.
Effective communicator who can translate complex concepts into clear business value and build alignment across stakeholders.
Strong collaboration and relationship-building skills with a track record of influencing cross-functional teams.
Understanding of industry best practices and the ability to apply them to practical business challenges.
Working knowledge of end-to-end business processes and data connectivity across functions.
Demonstrates curiosity, a growth mindset, and a passion for continuous improvement and innovation.
Preferred qualifications
Experience in consulting, business transformation, or process improvement roles.
Experience working in complex, fast-paced manufacturing or product development environments.
Familiarity with AI and machine learning concepts and their business applications.
Experience with SAP or other ERP platforms.
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: $114,000.00 - $253,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
