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Full-Time

PLM Configuration Manager

Posted on 4/23/2024

Lambda

Lambda

51-200 employees

On-demand public cloud with NVIDIA GPUs for deep learning

Hardware

Compensation Overview

$120k - $180kAnnually

+ Cash & Equity Compensation

Senior, Expert

San Jose, CA, USA

Category
Product Engineering
Systems Engineering
Engineering Management
Required Skills
Agile
Communications
Management
Requirements
  • Bachelor's degree in Engineering, Computer Science, Information Technology, or related field
  • 7+ years experience in configuration management, preferably in a manufacturing and engineering environment
  • Proficiency in PLM systems such as Agile, Teamcenter, and/or Windchill
  • Strong understanding of configuration management principles, processes, and best practices
  • Excellent analytical, problem-solving, and communication skills
  • Ability to work effectively in a fast-paced, cross-functional team environment
Responsibilities
  • Develop and maintain configuration management processes, procedures, and approval workflows
  • Develop and implement a Bill of Materials (BOM) and Part Numbering system
  • Establish and enforce configuration control procedures
  • Implement best practices for version control, change management, and release management within the PLM system
  • Serve as the primary administrator for the PLM system
  • Customize the PLM system to align with the organization's configuration management requirements
  • Collaborate with cross-functional teams to understand product requirements and design changes
  • Communicate effectively with stakeholders to provide updates on configuration management activities
  • Foster a culture of collaboration and continuous improvement in configuration management practices

With a focus on deep learning and generative AI, this company offers on-demand access to advanced NVIDIA H100 Tensor Core GPUs in a public cloud, catering specifically to massive-scale AI projects. It facilitates robust cloud clusters enhanced by 3200 Gbps Infiniband, ensuring exceptional processing speeds and efficiency. Moreover, its adoption of an open source AI software stack, used by over 50,000 machine learning teams, underscores its commitment to community-driven innovation and support for industry-standard tools like PyTorch® and TensorFlow.

Company Stage

Series C

Total Funding

$932.2M

Headquarters

San Jose, California

Founded

2012

Growth & Insights
Headcount

6 month growth

5%

1 year growth

13%

2 year growth

86%
INACTIVE