PLM Configuration Manager

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

We’re looking for a PLM Configuration Manager to implement best in class product lifecycle management practices, tools, and analytics.

*Note: This position requires presence in our San Jose Headquarters 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

Develop and maintain configuration management processes, procedures, and approval workflows to ensure consistency and accuracy in product configurations

Develop and implement a Bill of Materials (BOM) and Part Numbering system which will become a single source of truth of data for sales, engineering, finance, supply chain, manufacturing, and data center teams

Establish and enforce configuration control procedures to manage changes to BOMs and product configurations effectively. Ensure that changes are properly assessed for their impact on product configurations, quality, and compliance

Implement best practices for version control, change management, and release management within the PLM system

Implement and serve as the primary administrator for the PLM system, including user management, data maintenance, and system configuration

Customize the PLM system to align with the organization's configuration management requirements and business processes

Collaborate with cross-functional teams to understand product requirements, design changes, and manufacturing processes

Communicate effectively with stakeholders to provide updates on configuration management activities, changes, and issues

Foster a culture of collaboration and continuous improvement in configuration management practices

You

Have a Bachelor's degree in Engineering, Computer Science, Information Technology, or related field

Have 7+ years experience in configuration management, preferably in a manufacturing and engineering environment. Experience working with commodity suppliers and ODM/CM partners

Are proficient in PLM systems such as Agile, Teamcenter, and/or Windchill

Possess a strong understanding of configuration management principles, processes, and best practices

Have excellent analytical, problem-solving, and communication skills

Are able to work effectively in a fast-paced, cross-functional team environment

Nice to Have

Certification in configuration management (e.g., CMII certification).

Experience with software development lifecycle (SDLC) processes and tools.

Familiarity with industry standards and regulations related to product configuration management (e.g., ISO 9001, AS9100).

Salary Range Information

Based on market data and other factors, the salary range for this position is $120,000-$180,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

We offer generous cash & equity compensation

Investors include Gradient Ventures, Google’s AI-focused venture fund

We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

We have a wildly talented team of 250, and growing fast

Health, dental, and vision coverage for you and your dependents

Commuter/Work from home stipends for select roles

401k Plan with 2% company match

Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.