---
title: 'Inventory Control Analyst at Cerebras Systems'
canonical: 'https://feeny.ai/job/inventory-control-analyst-cerebras-systems-sunnyvale-qmtj20k449ev'
type: 'job'
last_seen: '2026-09-08'
---

# Inventory Control Analyst at Cerebras Systems

- **Company:** [Cerebras Systems](https://feeny.ai/companies/cerebras-systems)
- **Location:** Sunnyvale, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-15
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/cerebras/7571d94f-66a6-4c43-88e2-55340f3b9383

## Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Position Summary

The Inventory Analyst is responsible for using data, reporting, and operational analysis to improve inventory accuracy across internal warehouses, manufacturing sites, contract manufacturers, third-party logistics providers, and other partner locations. This role owns recurring inventory reporting, identifies discrepancies and trends, supports cycle count execution, and partners cross-functionally to close the physical-to-system lag, prevent recurring variances, and reduce inventory loss, write-offs, and operational risk .

The ideal candidate has experience in a complex, fast-paced manufacturing, logistics, or supply chain environment and understands how physical inventory movement, system transactions, and financial controls must stay aligned. This person must be highly analytical, detail-oriented, self-directed, and able to collaborate effectively with partner teams, resolve conflicts professionally, and drive outcomes without direct authority.

## Key Responsibilities

- Create, maintain, and improve recurring inventory reports, dashboards, and scorecards that measure inventory accuracy, cycle count completion, variance trends, exception aging, transaction timing, inventory movement posting discipline, and location-level discrepancies.
- Analyze inventory data across multiple sites and partner nodes to identify physical-to-system mismatches, root causes, recurring process gaps, and areas of financial or operational exposure.
- Support cycle count planning and execution, including count schedules, count readiness, discrepancy tracking, recount coordination, variance validation, and closure reporting.
- Monitor cycle count adherence by site and inventory category, ensuring high-priority materials are counted on the required cadence and variances are investigated, documented, and closed timely.
- Partner with Inventory, Logistics, Warehouse, Manufacturing, Finance, Supply Chain, Contract Manufacturers, and 3PL teams to investigate discrepancies and drive corrective actions to completion.
- Collaborate closely and effectively with internal and external partner teams, using clear communication, professional judgment, and structured follow-up to resolve issues, align priorities, and address conflicts in a respectful and productive manner.
- Monitor high-value and high-risk inventory, including A/B class items, serialized material, RMA inventory, MRB, scrap, consigned inventory, in-transit material, and partner-held stock.
- Reconcile inventory balances between ERP, WMS, partner reports, physical counts, transfer records, receiving records, and shipment evidence.
- Track open exceptions such as aged transfer orders, pending receipts, unresolved count variances, unposted movements, duplicate receipts, inventory holds, RMA activity, scrap, unbuild activity, and aging inventory requiring disposition.
- Develop actionable reporting that helps leadership prioritize risk, improve controls, reduce manual reconciliation, and make informed operational decisions.
- Build reporting that separates operational accuracy from financial exposure, allowing leadership to see unit, location, transaction, and aging risks without displaying confidential inventory value.
- Support inventory control best practices, including ABC categorization, risk-based count prioritization, location-level accuracy reporting, reason-code discipline, transaction cutoffs, blind counts, segregation of duties, audit-ready evidence retention, and clear exception ownership.
- Assist with month-end, quarter-end, and year-end inventory readiness by identifying open issues, reporting financial exposure, and ensuring timely follow-up on required actions.
- Maintain audit-ready documentation for custody, receipts, counts, adjustments, approvals, root-cause decisions, and corrective actions to support operational controls and compliance readiness.
- Identify, create, govern, and iterate inventory control processes as business needs, site requirements, reporting maturity, and operational complexity evolve in a fast and quickly changing environment.

Required Qualifications

- 3+ years of experience in inventory analysis, inventory control, manufacturing operations, logistics, supply chain operations, warehouse operations, or a related field.
- Strong understanding of inventory practices, including cycle counting, variance analysis, inventory adjustments, inventory reconciliation, receiving, transfers, scrap, MRB, RMA, and physical inventory controls.
- Experience working in a complex, fast-paced environment with multiple sites, warehouses, contract manufacturers, 3PLs, or external partners.
- Advanced Excel or spreadsheet skills, including lookups, pivot tables, formulas, data comparisons, exception reporting, and large-data-set analysis.
- Experience with ERP, WMS, or inventory reporting systems; NetSuite experience is preferred.
- Ability to translate data into practical business insights, corrective actions, and clear recommendations for operational leaders.
- Strong attention to detail, follow-through, ownership, and ability to manage multiple priorities with limited supervision.
- Effective written and verbal communication skills, with the ability to influence cross-functional teams and drive outcomes without direct authority.
- Basic understanding of supply chain practices, including purchasing, receiving, manufacturing flow, inventory movement, logistics, and partner inventory management.

## KEY PERFORMANCE INDICATORS

1. Cycle Count Completion Target: 99%+ completion on time, by site, category, and count schedule.
2. Inventory Record Accuracy Target: 99%+ accuracy, measured by unit, location, item-level variance, transaction integrity, and count-to-system alignment.
3. High-Value Inventory Coverage Target: 100% of high-priority, high-risk, or A/B inventory counted on the required cadence, without disclosing confidential inventory values.
4. Adjustment and Write-Off Reduction Target: Minimize inventory loss, write-offs, avoidable adjustments, and recurring variance exposure.
5. Exception Aging Target: Reduce aged transfer orders, pending receipts, unresolved variances, inventory holds, reconciliation defects, and open exception queues.
6. Transaction Timeliness Target: Support same-day or 24-hour posting discipline for physical inventory movements, where applicable.
7. Root-Cause Closure Target: Ensure material variances include a documented root cause, owner, corrective action, and closure date.
8. Reporting Quality Target: Deliver accurate, timely, and actionable reports that clearly identify risk, trends, owners, next steps, and escalation paths while protecting confidential inventory valuation data.

Best-Practice Expectations

- Use ABC classification and risk-based prioritization to focus controls on the inventory that carries the highest financial, operational, or customer-impact risk.
- Separate financial accuracy from operational accuracy by reporting both value variance and physical/location variance.
- Maintain clear ownership for every exception, including due dates, root cause, corrective action, and escalation path.
- Use standardized reason codes and supporting evidence for adjustments, scrap, write-offs, inventory holds, and other inventory-impacting transactions.
- Promote clean transaction timing by aligning physical movement, ERP/WMS updates, and supporting documentation.
- Support audit readiness through complete count records, approval evidence, reconciliation support, and clear documentation of variance decisions.
- Collaborate with internal and external partners to improve reporting cadence, reduce manual work, and create repeatable inventory control processes.

Work through ambiguity and competing priorities with partner teams by clarifying ownership, escalating risks appropriately, and maintaining professional, solutions-oriented communication.

## Key Competencies

- Data-driven problem solving
- Inventory accuracy and control mindset
- Strong ownership and follow-through
- Ability to self-direct in ambiguous environments
- Cross-functional collaboration and influence without authority
- Manufacturing logistics and supply chain awareness
- Attention to detail and reporting discipline
- Sense of urgency and ability to operate in a fast-paced environment
- Professional conflict resolution and partner-team alignment
- Ability to build, govern, and continuously improve processes in a rapidly changing environment

This job description is not intended to be an exhaustive list of responsibilities. The Inventory Analyst is expected to proactively identify gaps, create scalable processes, govern execution standards, and continuously improve reporting and control practices as business needs evolve.

The base salary range for this position is $150,000 to $220,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

## Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.

## About Cerebras Systems

## Company Overview
- **One-liner**: Cerebras builds wafer-scale AI chips (the largest semiconductors ever made) and supercomputers that deliver up to 15x faster inference than GPUs, offered both on-premises and via cloud APIs.
- **Entity Type**: Public (NASDAQ: CBRS) — filed for IPO and now listed on the Nasdaq.
- **Headquarters**: Sunnyvale, California, United States
- **Founded**: 2015
- **Founders**: Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, Jean-Philippe Fricker

## Core Business
- **Primary industries**: Semiconductor manufacturing, AI computing hardware and software, cloud AI services.
- **Target customers**: B2B – enterprises, government research labs, cloud service providers, and AI developers.
- **Mission**: “Building impossible technologies so you can too” – accelerating AI through wafer-scale computing.

## Products & Services
- **Wafer-Scale Engine (WSE-3)**: The world’s largest AI chip (215 mm²), 58x larger than a typical GPU, built for ultra‑fast AI training and inference. Manufactured by TSMC.
- **CS-3 Supercomputer**: A single system powered by the WSE-3, delivering record-breaking AI performance for on-premises deployment.
- **Cerebras AI Inference Cloud & Training Cloud**: Pay-as-you‑go APIs that provide drop‑in OpenAI‑compatible access to Cerebras’ hardware for serving, fine‑tuning, and pre‑training models.
- **Condor Galaxy Network**: A series of supercomputers (e.g., CG‑1 with 4 exaFLOPs) built in partnership with G42 for high‑performance AI.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (recently public; market cap data not available in provided sources).
- **Key Metric**: Annual revenue of $78.7 M (latest); total funding of $2.7 B across 15 rounds.
- **Notable Investors/Partners**: G42, OpenAI (signed in 2026), Amazon Web Services (signed in 2026), Meta (Llama API), Perplexity, Mistral, Hugging Face, OpenRouter.
- **Growth Signals**: 
  - 34.3% YoY headcount growth (701 employees).
  - Rapid data center expansion across North America and Europe.
  - Won the HPCwire Readers’ & Editors’ Choice 2025 for Best AI Product/Technology.
  - Named to Forbes America’s Best Startup Employers 2026 and Fast Company Most Innovative Companies 2026 (AI).

## Competitive Advantages
- **Wafer‑scale architecture**: Eliminates interconnect bottlenecks, reducing latency and delivering up to 15x faster inference than GPU clusters.
- **Largest AI chip ever built**: 58x larger than any GPU, enabling massive on‑chip memory (SRAM) and compute density.
- **Full‑stack offering**: Hardware + cloud APIs + on‑prem systems, giving customers deployment flexibility.
- **Strong customer relationships**: Key contracts with OpenAI, AWS, G42, and Mayo Clinic (2024 Gordon Bell Prize work).

## Strategic Focus
- **Scale inference capacity**: Building out data centers to become the world’s #1 provider of high‑speed AI inference.
- **Deepen cloud partnerships**: Expanding pay‑as‑you‑go cloud access and enterprise deployments.
- **Advance wafer‑scale technology**: Continuous R&D on WSE‑3 successors and software stack (compiler, ML workflows).
- **Broaden model support**: Already serving Llama, Gemma, Qwen, Mistral, and more; integrating with Hugging Face and OpenRouter.

## Why Work Here
- **Culture**: “Extraordinary people, breakthrough innovation, global impact” – the company highlights collaborative, low‑overhead teams with little bureaucracy.
- **Work environment**: Hybrid/office with locations in Sunnyvale, San Diego, Toronto, and Bangalore. Inclusive and flexible policy.
- **Perks**: Premium medical/dental/vision, life insurance, generous vacation, 401(k) and Group RRSP retirement plans, daily catered meals, healthy snacks, family‑friendly events (including CEO’s famous BBQ).
- **Engineering focus**: Tackling fundamental challenges in chip design, system software, compiler technology, and ML workflows. Positions range from hardware (Design Verification, Manufacturing) to software (SRE, Compiler, Cloud).
- **Philanthrophy**: Supports local communities and hosts students from around the world for Q&A.

## Sources
1. [cerebras.ai/company](https://www.cerebras.ai/company)
2. [cerebras.ai](https://www.cerebras.ai/)
3. [cerebras.ai/join-us](https://www.cerebras.ai/join-us)
4. [linkedin.com/company/cerebras-systems](https://www.linkedin.com/company/cerebras-systems)

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