---
title: 'Senior Operations Accountant at Cerebras Systems'
canonical: 'https://feeny.ai/job/senior-operations-accountant-cerebras-systems-sunnyvale-1sfperr2mr6m'
type: 'job'
last_seen: '2026-09-15'
---

# Senior Operations Accountant at Cerebras Systems

- **Company:** [Cerebras Systems](https://feeny.ai/companies/cerebras-systems)
- **Location:** Sunnyvale, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-11
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.ashbyhq.com/cerebras/671c1185-757b-4863-9547-be2b4040e4ef

## 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.

## About the Role

The Senior Operations Accountant will support the monthly close and financial reporting for Cerebras's inventory, manufacturing cost, and global lease portfolios. Reporting to the Lease Accounting Manager, this role will own recurring reconciliations, journal entries, and supporting analyses; partner with Operations, Supply Chain, Procurement, Facilities, Accounts Payable, and Financial Reporting; and help strengthen processes and controls as the business scales. Responsibilities:

Inventory and Cost Accounting

- Own monthly inventory subledger-to-general-ledger reconciliations, investigate variances, and prepare related journal entries and close support.
- Calculate and account for inventory rebates, wafer manufacturing yield losses, manufacturing and facilities allocations, freight, tariffs, and other inventory-related costs in accordance with company policy.
- Monitor inventory classification across raw materials, work in process, and finished goods, including inventory held at contract manufacturers and other third-party locations.
- Analyze inventory movements, cost changes, manufacturing variances, yield, scrap, and excess and obsolete inventory; partner with Operations and Supply Chain to investigate and resolve issues.
- Support inventory reserve, write-off, and disposition analyses, as well as physical inventory counts and related audit documentation.

Lease Accounting

- Execute monthly accounting for Cerebras's global data center and office lease portfolio under ASC 842, including journal entries, reconciliations, rollforwards, payment schedules, and flux analysis.
- Support the review of new, modified, and terminated lease arrangements and coordinate accounting conclusions with the Lease Accounting Manager and Technical Accounting.
- Maintain lease population completeness by partnering with Facilities, Procurement, Legal, and Accounts Payable to identify new agreements, amendments, terminations, and payment changes.
- Prepare quarter-end lease schedules and support financial statement disclosures and the SEC reporting process.

Audit Controls and Business Partnership

- Prepare schedules and supporting documentation for internal and external audit requests related to inventory, manufacturing cost, and lease accounting.
- Maintain process documentation and control evidence for key inventory and lease close activities.
- Partner with cross-functional teams to improve upstream data quality, resolve transaction issues, and explain financial statement impacts clearly.
- Improve and automate recurring processes, including the responsible use of AI-enabled tools, while maintaining appropriate review and control procedures.

## Qualifications

- Bachelor's degree in Accounting, Finance, or a related field.
- Four or more years of progressive accounting experience; experience in manufacturing, semiconductor, hardware, or infrastructure-intensive environments is preferred.
- Strong knowledge of U.S. GAAP, including inventory valuation and costing under ASC 330 and lease accounting under ASC 842.
- CPA or CMA certification is preferred.
- Strong NetSuite and Excel skills, including pivot tables, lookups, and data modeling; experience with Power Query, lease accounting systems, or similar automation tools is a plus.
- Ability to analyze large and sometimes unstructured datasets, document conclusions, manage competing priorities, and meet close deadlines.
- Clear written and verbal communication skills and the ability to work effectively with finance and operational stakeholders. Additional Information
- Location: Sunnyvale, California, with three days per week in the office.

## 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:

- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- 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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- [Staff AI Engineer – Business Systems](https://feeny.ai/job/staff-ai-engineer-business-systems-cerebras-systems-sunnyvale-vgybt0ehv5wt) — Sunnyvale, CA
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