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.
We’re looking for a PLM Configuration Manager to implement best in class product lifecycle management practices, tools, and analytics. If you'd like to build the world's best deep learning cloud, join us.
*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).
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 200, and growing fast
- Health, dental, and vision coverage for you and your dependents
- Commuter/Work from home stipends
- 401k Plan with 2% company match
- Flexible Paid Time Off Plan that we all actually use
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.
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.
