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SiMa.ai

No-code edge ML platform with MLSoC

Director, Supply Chain and Manufacturing Operations

Supply Chain ManagementConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • A bachelor’s degree in Engineering, Supply Chain, Operations, or a related field and 10–15+ years in hardware supply chain or operations roles; semiconductor, edge/embedded, or high-mix electronics experience is ideal.
  • At least 5 years of experience building and managing teams.
  • Proven experience running contract manufacturer, electronics manufacturing services, or original design manufacturer production and closing the loop between Engineering, Operations, and the factory.
  • Strong fluency in bills of materials, approved vendor lists, engineering change orders, lead times, non-cancelable/non-returnable terms, long-term agreements, multi-quarter material strategies, and inventory control, including work orders, cycle counts, and consigned inventory at contract manufacturers.
  • Demonstrated success in demand/supply planning in a low-volume, high-mix, rapidly changing environment.
  • Experience negotiating supplier price, terms, liability, and upside flexibility; leading requests for quotation, cost modeling, and supplier selection.
  • Hands-on experience implementing and scaling enterprise resource planning/material requirements planning systems at a hardware company; examples include NetSuite and Fishbowl.
  • Fluency in English.
  • Advanced Excel or Sheets skills.
  • Ability to communicate cross-functionally and translate operations constraints to executives, Sales, and Engineering.
  • Verbal, written, and presentation skills.

Responsibilities

  • Build and lead the supply chain and manufacturing operations team across planning, sourcing, materials, and inventory control; set key performance indicators for on-time delivery, inventory accuracy, turns, and cost, and establish operating cadence.
  • Consolidate customer, program, and internal build plans into a single view of demand.
  • Run monthly and quarterly supply reviews and drive scenario planning for upside, push-outs, and constrained parts.
  • Translate design and new product introduction ramps into material and capacity plans.
  • Manage the end-to-end material lifecycle for machine-learning system-on-chip, system-on-module/board-level products, and accessories, including heatsinks, cables, enclosures, and evaluation kits.
  • Lead strategic sourcing and manage foundry, outsourced semiconductor assembly and test, packaging, printed circuit board, printed circuit board assembly, original design manufacturer, and contract manufacturer partners; lead requests for quotation, should-cost analysis, dual-sourcing, and supplier selection with Quality; negotiate pricing, terms, supply agreements, and non-cancelable/non-returnable protections.
  • Drive supplier scorecards, quarterly business reviews, and continuous improvement.
  • Lead engagement with electronics manufacturing services and original design manufacturer partners for product manufacturing, including selection, manufacturing agreements, new product introduction transfer, capacity, and business reviews.
  • Own day-to-day interfaces with contract manufacturers, electronics manufacturing services, and original design manufacturers, including master production schedules, work-in-progress visibility, upside requests, expedites, dead-on-arrival items, and returns/material authorizations.
  • Own manufacturing work orders and inventory transactions in the enterprise resource planning system, including receipts, transfers, component consumption, production completions, returns, and shipments; control materials and inventory across contract manufacturer and company locations.
  • Ensure accurate bills of materials, approved vendor lists, and revision-control flow from Engineering to manufacturing.
  • Drive yields, rework strategies, and returns/material authorization and failure-analysis loops back into design and test.
  • Build and maintain a rolling 6–18 month supply strategy for customer evaluations, pilots, and production.
  • Proactively mitigate supply constraints with fabs, outsourced semiconductor assembly and test providers, and other suppliers, including long-term agreement parts, power management integrated circuits, and memories.
  • Ensure export control, trade compliance, and country-of-origin/customer-specific requirements.
  • Track and report cost of goods sold, purchase price variance, minimum order quantity/minimum lot quantity exposure, inventory turns, and material liability.
  • Recommend multi-quarter buys, buffer strategies, and service/insurance-aligned non-cancelable/non-returnable structures to reduce demand variability risk.
  • Partner with Finance and Sales on purchase-order cadence, accruals, and revenue enablement dates; support month-end inventory reconciliation, while Accounting owns costing, valuation, and review of inventory adjustments.
  • Own and scale the company’s enterprise resource planning/material requirements planning platform, including requirements, system selection, and implementation as the business grows; cover material requirements planning, purchasing, inventory, work orders, and returns/material authorization with integration to product lifecycle management and Finance; own process design, data migration, and user adoption.
  • Define and document scalable processes for new product introduction through volume production and sustaining operations.
  • Drive ISO/quality management system-oriented discipline in Operations in partnership with Quality.
  • Travel up to 20%, including visits to electronics manufacturing services and original design manufacturer sites in Asia.

Desired Qualifications

  • Experience in semiconductor, edge/embedded, or high-mix electronics is ideal.
  • SQL or analytics experience is a bonus.

About the Company

SiMa.ai

No-code edge ML platform with MLSoC

SiMa.ai provides a no-code, drag-and-drop environment for building, training, and deploying machine learning models on edge devices. Its platform lets users visually assemble ML solutions without writing code, and runs on its own MLSoC silicon designed for edge computing to reduce latency and speed up inference close to data sources. The product works by combining the no-code development tools with specialized edge-ready hardware, enabling deployment of ML applications such as computer vision on edge devices. SiMa.ai differentiates itself from competitors by pairing a purpose-built MLSoC with an integrated no-code development platform, plus an ecosystem of a developer portal, expert consulting, and a partner program to accelerate AI innovations at the edge. The company aims to broaden access to edge ML, helping individuals and organizations deploy efficient AI at the edge across various industries.

Company size
201-500
Company stage
Series C
Total funding
$495M
Headquarters
San Jose, CA
Founded
2018

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