Systems Analyst – Supply Chain Systems at Lambda

San Jose, California, United States

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$124,000 – $145,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Supply Chain, Cloud ComputingIndustries

Requirements

Bachelor’s degree in Information Systems, Supply Chain, or a related field (or equivalent experience)
3+ years of experience working with PLM and/or ERP systems (experience with Propel PLM and NetSuite strongly preferred)
Solid understanding of supply chain processes: item master management, BOMs, inventory, and procurement workflows
Strong analytical skills with the ability to troubleshoot complex issues and propose data-driven solutions
Candidates with 1+ yr scripting experience (e.g., Python) and overall exposure to software development are preferred
Experience with workflow design, system configuration, and testing
Excellent communication skills

Responsibilities

Maintain and monitor PLM workflows, including Engineering Change Orders (ECOs), Engineering Change Requests (ECRs), and Bill of Materials (BOM) updates
Ensure accurate part creation, attribute management, and revision control across hardware and non-hardware SKUs
Support ongoing Lambda’s cloud deployments by maintaining items, bundles, and BOMs within the PLM system
Optimize PLM processes, balancing speed and data quality, by maintaining effective workflows (e.g., quick release, BOM redesign, Part Data Augmentation, Roll-ups)
Partner with HPC, Supply Chain, and Accounting teams to expand adoption, provide user training, build wiki documentation, and enable broader participation in BOM creation and change orders
Monitor and improve data integrity, driving cleanup efforts such as part data augmentation and consistent specifications of key components
Develop and maintain validation reports and adoption trackers to increase trust in PLM data and ensure alignment between PLM, NetSuite, and Cluster Workbook
Act as a change management advocate, gathering feedback, resolving adoption challenges, and ensuring PLM continues to scale as a trusted system for Supply Chain and HPC users
Identify gaps and pain points in current NetSuite workflows related to procurement, inventory, and materials management
Partner with business stakeholders to design and implement process enhancements (e.g., item master cleanup, approval workflows, compliance checkpoints)
Support automation of recurring tasks and integration between NetSuite and PLM to reduce manual touchpoints
Assist in testing and validating new configurations, scripts, and workflows before deployment
Provide ongoing support for NetSuite users, including troubleshooting, role permissions, and best practices
Serve as the liaison between Supply Chain, Compliance, engineering, and Materials teams to ensure business requirements are clearly defined and translated into system functionality
Partner with the Business Systems/IT team to prioritize, document, and deliver enhancements and bug fixes
Support audit readiness by ensuring systems and processes adhere to SOX, ISO, and other compliance requirements

Skills

PLM

NetSuite

Propel

BOM

ECOs

ECRs

Engineering Change Orders

Bill of Materials

Workflow Management

Data Integrity

Validation Reports

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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