招聘
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.
About The Role
The Manager will be primarily responsible for tracking and recovery of Cerebras’s data center infrastructure and assets globally through asset end of life. This leadership position requires an organized, highly motivated professional with the ability to drive operational and process improvements. The individual will perform a variety of tasks ranging from routine to complex analysis and play a critical part in asset tracking operations, including asset dispositions, transfers, and periodic cycle counts.
This role requires comfort operating in a fast-paced, evolving environment, where priorities may shift and processes are still being built. The successful candidate will be expected to ramp quickly, close gaps, and contribute immediately, bringing structure, judgment, and execution while helping where needed across the broader finance organization.
You will partner closely with Manufacturing, Supply Chain, FP&A, Deployment, and Engineering to establish scalable costing models, strengthen controls, and support external reporting readiness as the company prepares to operate as a public company.
Responsibilities
Business Process Optimization
- Partner with Supply Chain operations to establish best-in-class asset tracking policies, procedures, and internal controls.
- Develop expertise and thoroughly understand the features, functionality, and capability of the fixed asset ERP software system and serve as a thought partner to Finance leadership on process redesign
- Drive projects effectively in a high-growth, fast-paced environment, balancing strategic leadership with hands-on execution as the business scales.
Data Center asset management and accounting
- Own accounting and cost modeling for data center fixed assets, including AI compute systems, servers, networking, power, and cooling infrastructure.
- Support processes to ensure all fixed assets are physically or systematically verified and aligned with the Company’s data center infrastructure management system and asset tracking systems
- Establish capitalization policies, useful lives, depreciation methods, and impairment assessments.
- Lead and coordinate periodic physical inventory and ensure the system records are updated accordingly
- Assist with developing and documenting asset accounting processes including asset transfer, cycle count, and disposition procedures in addition to developing and monitoring system controls and procedures
- Partner with Infrastructure and FP&A to forecast capital spend and allocation of depreciation expense.
Data Center Lease accounting
- Own end-to-end lease accounting under ASC 842, including lease identification, classification, initial measurement, and ongoing remeasurement/modifications.
- Manage the lease close process: prepare/review journal entries, reconciliations, rollforwards, and support monthly/quarterly reporting and variance analysis.
- Maintain the lease system of record (e.g., Lease Query,); ensure data integrity, controls, and timely updates for new leases, amendments, renewals, and terminations.
- Partner with Legal, Procurement, and FP&A to review lease terms, assess embedded leases, and ensure accounting conclusions are documented.
- Support lease-related disclosures and support external audit/SOX compliance: process documentation, control design/testing, and audit request management.
- Drive process improvements and standardization (templates, checklists, policy updates) to scale lease accounting as the portfolio grows.
Compliance, Reporting & IPO Readiness
- Ensure compliance with GAAP, SOX, and internal policies.
- Support SEC reporting and disclosures related to fixed assets.
- Assist with ad-hoc analyses and cross-functional initiatives as needed to support business priorities.
Skills And Qualifications
- Bachelor’s degree in Accounting, Finance, or related field (Master’s preferred).
- CPA or CMA strongly preferred.
- 5+ years of combined experience at a Big 4 accounting firm and manufacturing, hardware, or infrastructure-intensive environments
- Strong knowledge of GAAP, costing methodologies, and fixed assets policies and procedures.
- Demonstrated experience automating processes and activities, including data center asset management
- Strong Microsoft Office skills (Excel/PowerPoint/Word/Outlook) required
- Experience with expense allocation models and capital-intensive cost structures.
- Exposure to asset tracking solutions along with experience ERPs such as Oracle and Net Suite
Personal Attributes
- Thrives in fast-paced, high growth, high-ambiguity environments.
- Ability to work with high volumes of unstructured data and create appropriate data structures to provide insights
- Able to ramp quickly, identify gaps, and take ownership.
- Hands-on, detail-oriented, and execution-focused.
- Excellent organizational and time management skills with the ability to multi-task
- Strong cross-functional communicator with sound judgment.
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.
Read our blog: Five Reasons to Join Cerebras in 2026.
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.
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关于Cerebras

Cerebras
Series F+Cerebras Systems Inc. is an American artificial intelligence (AI) company with offices in Sunnyvale, San Diego, Toronto, and Bangalore, India. Cerebras builds computer systems for complex AI deep learning applications.
201-500
员工数
Sunnyvale
总部位置
$4.1B
企业估值
评价
4.0
10条评价
工作生活平衡
2.8
薪酬
4.2
企业文化
4.1
职业发展
4.3
管理层
3.5
72%
推荐给朋友
优点
Innovative and cutting-edge technology
Supportive and collaborative team environment
Good compensation and benefits
缺点
Work-life balance challenges
High workload and expectations
Fast-paced and stressful environment
薪资范围
33个数据点
Mid/L4
Mid/L4 · Manufacturing Engineer
1份报告
$165,456
年薪总额
基本工资
$143,874
股票
-
奖金
-
$165,456
$165,456
面试经验
50次面试
难度
3.9
/ 5
时长
21-35周
录用率
23%
体验
正面 72%
中性 9%
负面 19%
面试流程
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
常见问题
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
新闻动态
Nvidia Stock Faces a $20 Billion AI Chip Test as Cerebras Heads for IPO - TechStock²
TechStock²
News
·
1d ago
U.S. IPO Weekly Recap: IPO Calendar Heats Up As AI Chipmaker Cerebras Rejoins The Public Pipeline - Seeking Alpha
Seeking Alpha
News
·
2d ago
Nvidia Rival Cerebras Files For IPO After Scrapping Plans Last Year - Amazon.com (NASDAQ:AMZN), Barclays - Benzinga
Benzinga
News
·
2d ago
AI Chipmaker Cerebras Systems Files Publicly for US IPO - MENA Fintech Association
MENA Fintech Association
News
·
2d ago