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DensityAI

High-density AI infrastructure for data centers

Global Supply Chain Manager: Strategic Components

Full-Time
$200k - $260k+ Equity grant
Expert
Mountain View, CA, USA
In Person
Operations & LogisticsProcurement & Sourcing
H1B Sponsorship Available

About the job

Requirements
  • Category management or commodity management as a core discipline, with end-to-end ownership of a defined commodity portfolio.
  • First-hand sourcing experience in several of the listed component categories, with direct relationships with component manufacturers and their franchise distributors.
  • Experience owning negotiations of MSAs, MPAs, LTAs, NDAs, and SOWs with component suppliers, including pricing, allocation, lifecycle, and liability terms, and related leverage analysis.
  • Experience with capacity planning under constraints, demand planning against a hardware roadmap, allocation negotiation, and buffer, last-time-buy, and risk-buy decisions.
  • Experience building sourcing strategy with engineering, including should-costing, multisourcing, supplier qualification plans, and design-for-cost influence during part selection.
  • Fluency with ERP, MRP, PLM, and BOM management, and ability to maintain trustworthy cost, AVL, and lifecycle data.
  • Comfort working amid ambiguity and pace, bringing structure to undefined situations and adapting to changing direction.
Responsibilities
  • Own category strategy and commercial relationships for assigned components, including supplier segmentation and selection, AVL, dual-source posture, and a multiyear roadmap for each commodity.
  • Negotiate supplier agreements, including MSAs, MPAs/LTAs, NDAs, SOWs, pricing and rebate structures, allocation commitments, and last-time-buy/end-of-life and consignment terms, balancing cost, capacity, quality, and risk.
  • Build and own should-cost models for each commodity, including silicon pass-through, BOM, tooling/NRE, index-linked materials, and freight; use them to guide price negotiations and design-for-cost decisions with engineering.
  • Plan capacity by translating the compute roadmap into a component demand plan, securing allocation and buffer coverage against lead times, and making risk-buy and last-time-buy decisions supported by analysis.
  • Own supply continuity, including lifecycle, end-of-life, and product-change-notification management, cross-qualification and second-source strategy, and escalation when a category is on allocation.
  • Partner throughout the NPI lifecycle (EVT/DVT/PVT) with hardware engineering, program management, and the CM/ODM supply manager so part selection, qualification, and commercial terms align.
  • Drive directed buy/sell and consignment execution through contract manufacturers, including price pass-through, consigned-material control, and auditable process rigor.
  • Monitor component commodity conditions, including memory cycles, substrate and passive constraints, and connector and power-stage lead-time dynamics, and apply those insights to the company’s advantage.
Desired Qualifications
  • Experience sourcing components at volume for AI/HPC servers, networking systems, or data-center hardware.
  • Experience running directed buy/sell or consignment models through a CM/ODM.
  • Experience taking a new component from design-in through qualification to high-volume production while owning the commercial terms.
  • Familiarity with liquid-cooled or high-density compute, or a background in power delivery or high-speed signal integrity sufficient to challenge engineering on part selection.

About the company

DensityAI designs high-density, full-stack AI infrastructure for data centers, with custom chips, hardware, and software tightly integrated. Its products are aimed at automotive and robotics applications, delivering end-to-end AI workflows from perception and decision-making to control. The platform leverages hardware-software co-design to achieve higher performance, better power efficiency, and lower costs, addressing scalability and sustainability in AI computing. Unlike typical vendors, DensityAI combines a strong ex-Tesla leadership with a team of Dojo alumni and other industry veterans to offer a plug-and-play solution for OEMs and operators, simplifying the deployment of AI infrastructure. The company plans to raise substantial funding to speed development, validate deployments in its core markets, and broaden into general AI data center use and a comprehensive developer ecosystem.

Company Size

51-200

Company Stage

Acquired

Total Funding

N/A

Headquarters

Mountain View, California

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • Andreessen Horowitz is reportedly leading hundreds of millions at a $10 billion valuation.
  • AWS signed a conditional purchase agreement for chips meeting performance targets.
  • Tesla senior hardware executive Shishuang Sun joined DensityAI in July 2026.

What critics are saying

  • DensityAI still lacks a shipped chip; the AWS contract stays conditional on benchmarks.
  • 3D DRAM packaging faces heat and yield problems that kill schedules.
  • A failed round or benchmark miss destroys the $10 billion valuation overnight.

What makes DensityAI unique

  • Ganesh Venkataramanan, Bill Chang, and Ben Floering bring Tesla Dojo system experience.
  • DensityAI combines custom chips, hardware, and software for AI data centers.
  • Its 3D DRAM stacking bet targets bandwidth, capacity, and energy efficiency.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Paid Vacation
  • Company Equity

Growth & Insights and Company News

Headcount

6 month growth

82%

1 year growth

58%

2 year growth

58%
Data Center Dynamics
Sep 25th, 2026
Ex-Tesla Dojo team's AI chip startup DensityAI valued at $10B after funding round

AI chip startup DensityAI has raised hundreds of millions of dollars in a funding round valuing the company at $10 billion, according to The Information. Andreessen Horowitz is reportedly in talks to lead the round. The company was founded in 2025 by former Tesla Dojo chip program leaders Ganesh Venkataramanan, Bill Chang, and Ben Floering. Around 20 employees left Tesla for DensityAI after Elon Musk dissolved the Dojo team in August 2025. DensityAI plans to develop data centre chips using 3D DRAM stacking to improve speed and energy efficiency. The report suggests the startup has secured a conditional purchase agreement with AWS, though Amazon declined to comment. Previous investors include Dolby Family Ventures, South Park Commons, and Firestreak Ventures.

Crypto Briefing
Sep 25th, 2026
DensityAI nears $10B valuation with hundreds of millions in funding and AWS deal

DensityAI nears $10B valuation with hundreds of millions in funding and AWS deal. The Tesla Dojo spinoff lands Andreessen Horowitz backing and a conditional chip purchase agreement with Amazon Web Services 5 hours ago Sponsored: Vera - AI-powered prediction market intelligence, built for serious analysts Explore Vera A startup that barely existed 18 months ago is now worth as much as some publicly traded semiconductor companies. DensityAI, the AI chip venture founded by former Tesla Dojo engineers, is closing a funding round that values the company at roughly $10 billion, with Andreessen Horowitz leading the deal. The round is expected to bring in hundreds of millions of dollars in fresh capital. More importantly, DensityAI has locked in a conditional procurement agreement with Amazon Web Services, meaning AWS will buy DensityAI's chips if they hit certain performance benchmarks. From Tesla's basement project to a $10B valuation. DensityAI was founded in 2025 by Ganesh Venkataramanan, who previously led Tesla's Dojo supercomputer initiative. He brought roughly 20 engineers from the Dojo team with him. The company's trajectory since then has been aggressive. DensityAI closed a seed round in September 2024, followed by an early-stage venture round in September 2025. Now, roughly a year later, it's commanding a valuation that puts it in the upper echelon of private AI companies globally. AI, tech, and the markets they move - in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. The AWS agreement and what it actually means. The conditional purchase agreement with AWS is the centerpiece of DensityAI's pitch to investors. Under the deal, AWS commits to buying DensityAI's custom AI chips, but only if those chips meet predefined performance standards. AWS has been diversifying its chip supply chain for years, developing its own Graviton and Trainium processors while also maintaining its relationship with Nvidia. Adding DensityAI to the mix would give Amazon another option for specialized AI workloads, reducing dependence on any single supplier. A crowded market with very high stakes. What separates DensityAI, at least on paper, is its focus on building integrated solutions spanning chips, hardware, and software for data centers. The company targets sectors including automotive, robotics, and broader AI applications, areas where the Dojo team's experience with Tesla's compute-intensive workloads could provide a genuine edge. Disclosure: This article was edited by Diego Almada Lopez. For more information on how Crypto Briefing create and review content, see its Editorial Policy.

Xiamen Precise Display
Aug 25th, 2026
Tesla senior chip engineer joins DensityAI as in-house plans face more strain.

Tesla senior chip engineer joins DensityAI as in-house plans face more strain. * August 25, 2026 * Posted by jeff Tesla's senior director of AI hardware design, Shishuang Sun, joined DensityAI in July 2026, taking charge of packaging and system hardware development. The move came as Tesla continued to pursue custom AI and robotics chips amid the loss of another senior hardware leader.

Electrek
Jul 24th, 2026
Tesla closes secret $2B AI hardware deal, calls deployment milestones 'improbable

Tesla has closed its mysterious acquisition of an AI hardware company for $1.95 billion in stock and equity awards, according to the company's Q2 2026 10-Q filing. The deal was first disclosed in April but Tesla has still not named the target company. Of the total amount, only $222 million was allocated to actual assets — a patent and related technology. The remaining $1.73 billion is contingent on service conditions and performance milestones tied to successful technology deployment. Notably, Tesla recorded no stock-based compensation expense in Q2, stating the performance conditions were "improbable" to be achieved. This assessment raises questions about a deal Tesla valued at nearly $2 billion. The acquisition fits Tesla's broader 2026 investment strategy focused on AI compute and chip development. However, the lack of transparency around the deal has drawn criticism, as shareholders face dilution from hundreds of millions of newly issued shares without knowing the acquisition target or its strategic rationale.