C

Cerebras

AI accelerator hardware replacing GPUs

Senior ERP Systems Administrator

Full-TimeUpdated on 10/23/2026
No salary listed
Senior
Sunnyvale, CA, USA
Hybrid
IT OperationsEnterprise Applications

About the job

Requirements
  • At least 6 years of ERP administration experience.
  • At least 4 years of hands-on NetSuite administration experience.
  • Experience supporting enterprise Finance and Supply Chain processes.
  • Experience administering at least one additional ERP platform: Oracle Fusion Cloud, SAP S/4HANA, Workday Financials, or Microsoft Dynamics.
  • Experience supporting ERP integrations and third-party applications.
  • Experience working in SOX-controlled environments.
  • Strong understanding of Finance processes, including General Ledger, Accounts Payable, Accounts Receivable, Revenue Recognition, Fixed Assets, and Financial Reporting.
  • Strong understanding of Supply Chain processes, including Procurement, Inventory Management, Manufacturing, Demand Planning, Order Management, and Supplier Management.
Responsibilities
  • Administer and support NetSuite ERP and related enterprise applications.
  • Manage user provisioning, deprovisioning, role-based security, and access reviews.
  • Troubleshoot production issues and coordinate issue resolution.
  • Support month-end, quarter-end, and year-end business operations.
  • Monitor integrations, scheduled jobs, workflows, and system health.
  • Manage ticket queues and SLA adherence.
  • Coordinate release validation and production deployment support.
  • Document configurations, business processes, and support procedures.
  • Configure workflows, forms, saved searches, reports, dashboards, and security roles.
  • Perform minor enhancements and configuration changes.
  • Identify opportunities for automation and process improvements.
  • Support data integrity, master data governance, and operational controls.
  • Assist in evaluating new ERP functionality and platform capabilities.
  • Partner with Finance, Accounting, Supply Chain, Procurement, Manufacturing, and IT teams.
  • Support User Acceptance Testing activities.
  • Deliver end-user training and knowledge transfer.
  • Drive adoption of enterprise application best practices.
  • Participate in SOX, audit, and compliance activities.
  • Support quarterly user access reviews and segregation-of-duties controls.
  • Ensure change management processes are followed.
  • Maintain system documentation and operational runbooks.
  • Support and collaborate across enterprise platforms including NetSuite ERP, Oracle Fusion Cloud, SAP S/4HANA, Workday, Coupa, Salesforce, NSPB/EPM platforms, Procurement and Supply Chain systems, and integration platforms such as Celigo, Boomi, MuleSoft, and Workato.
  • Achieve SLA compliance for production support.
  • Reduce ERP support backlog by 25%.
  • Improve ERP operational documentation coverage.
  • Complete quarterly access reviews with zero audit findings.
  • Improve ERP user satisfaction scores.
  • Successfully support major Finance and Supply Chain business cycles.
  • Deliver automation and process improvement initiatives.
Desired Qualifications
  • NetSuite Administrator Certification.
  • Oracle Cloud Certification.
  • SAP Certification.
  • Workday Certification.
  • ITIL Foundation Certification.
  • Experience in high-growth technology companies.
  • Experience supporting manufacturing organizations.
  • Experience supporting AI, semiconductor, or hardware companies.

About the company

Cerebras Systems creates AI acceleration hardware and software. Its CS-2 system is designed to replace traditional GPU clusters for AI workloads, speeding up training and inference while simplifying the setup by eliminating the need for parallel programming, distributed training, and cluster management. The product works as a single, large processor-based accelerator with accompanying software and cloud services to run AI models efficiently, reducing latency and time to results. Compared with competitors, Cerebras differentiates itself with the largest processor in the industry and an integrated hardware-software stack that aims to streamline AI workflows rather than relying on multi-GPU clusters. The company's goal is to help research labs, healthcare, finance, and other industries achieve faster, more cost-effective AI development and deployment by offering a turnkey high-performance AI compute solution.

Company Size

501-1,000

Company Stage

IPO

Headquarters

Sunnyvale, California

Founded

2016

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Simplify's Take

What believers are saying

  • Q2 2026 core revenue hit $209.9 million, up 103% year over year.
  • Cerebras booked $25.4 billion in RPO on June 30, 2026.
  • Finland's September 1, 2026 Mikkeli campus adds 165MW contracted capacity.

What critics are saying

  • Data-center shortages force Cerebras to rent back customer systems, crushing near-term margins.
  • The August 2026 copyright class action in N.D. California targets model-training practices.
  • If power builds slip, Cerebras misses 2027 delivery and the backlog becomes stranded paper.

What makes Cerebras unique

  • Cerebras' wafer-scale chips still beat cluster-based AI systems for low-latency inference and training.
  • OpenAI signed a 750MW deal in December 2025, validating Cerebras' architecture.
  • AWS Bedrock integration and AMD disaggregation extend Cerebras beyond one-off hardware sales.

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Benefits

  • Professional Development Budget
  • Flexible Work Hours
  • Remote Work Options
  • 401(k) Company Match
  • 401(k) Retirement Plan
  • Mental Health Support
  • Wellness Program
  • Paid Sick Leave
  • Paid Holidays
  • Paid Vacation
  • Parental Leave
  • Family Planning Benefits

Growth & Insights and Company News

6 month growth

0%

1 year growth

0%

2 year growth

3%
Yahoo Finance
Oct 26th, 2026
Retail bets Musk could buy Cerebras as shares sit 40% below $185 IPO price

Retail traders speculate that Cerebras Systems' steep selloff could let SpaceX chief executive officer Elon Musk buy the AI chipmaker. Shares of SpaceX (SPCX) edged 0.1% lower premarket on Monday. Cerebras (CBRS) closed Friday at $110.82, about 40% below its $185 IPO price and 71% below its $386.34 debut-day peak. The stock is down 64% this year. Musk said on Sunday that SpaceX had closed $40 billion in GPU financing. He separately ruled out buying neocloud companies. Scrutiny of Cerebras' OpenAI ties has weighed on the stock. OpenAI accounts for a significant portion of Cerebras' $25.4 billion in contracted revenue yet to be recognised.

Yahoo Finance
Oct 12th, 2026
Cerebras, OpenAI's chip partner, bets on AI speed with a 750MW deal through 2028

Cerebras Systems (NASDAQ: CBRS), a lesser-known chipmaker, is drawing attention in the AI boom with a processor built for speed. Its Wafer-Scale Engine puts computing cores, memory, and communication on a single piece of silicon, cutting the need to move data between components. The company targets AI inference, where trained models answer questions, write code, and run tasks for millions of users. Inference is among the fastest-growing areas of the AI market. Cerebras and OpenAI agreed a multi-year deal to deploy 750 megawatts of Cerebras compute capacity, with staged deployment through 2028. In August, Cerebras said it powers the Ultrafast mode for OpenAI's GPT-5.6 Sol, which it says delivers up to 750 output tokens per second and runs up to 14 times faster than standard processing. Cerebras also announced its CS-4 system, which it says is up to twice as fast as its predecessor.

Yahoo Finance
Sep 30th, 2026
Cerebras secures $25.4B in signed work as cloud revenue jumps 103% despite data center bottleneck

Cerebras Systems holds $25.4 billion in signed contracts yet to be delivered, according to its June 30, 2026 figures. The AI hardware and cloud computing company projects core revenue of $880 million to $890 million for 2026, with expectations to more than triple in 2027. Second-quarter 2026 core revenue reached $209.9 million, up 103% year-over-year, driven primarily by cloud services including OpenAI deployment. The stock trades at 51.1 times sales, compared to 3.1 times for the S&P 500. Data centre capacity remains the key bottleneck. Cerebras has secured over 600 megawatts of capacity through end-2027. The company temporarily rents back some customer-operated systems to meet demand, pressuring gross margins short-term. Management expects AWS integration on Bedrock platform in first quarter 2027, with OpenAI remaining a significant but declining revenue portion.

TechCrunch
Sep 30th, 2026
Cerebras CEO Andrew Feldman to discuss AI scaling limits at TechCrunch Disrupt 2026

Cerebras Systems CEO Andrew Feldman will speak at TechCrunch Disrupt 2026 about AI scaling challenges. The company, which raised $5.5 billion in its May IPO, takes a different approach to AI computing through wafer-scale processors rather than conventional chip architectures. Cerebras recently signed a multiyear agreement with OpenAI to deploy 750 megawatts of systems from 2026 through 2028. The company has more than 600 megawatts of data centre capacity live or under contract for delivery by end of 2027 and is increasing manufacturing capacity more than tenfold during 2026. Feldman will discuss compute demand, energy and infrastructure constraints, and potential limits of current AI hardware. The event takes place 13-15 October at Moscone West in San Francisco.

Yahoo Finance
Sep 29th, 2026
BigBear.ai vs Cerebras Systems: Which AI stock is the better 2026 buy?

BigBear.ai and Cerebras Systems represent two distinct approaches to the AI market. BigBear.ai provides decision intelligence solutions primarily for US federal and defence agencies, using AI to help navigate supply chains, manage autonomous systems, and enhance cybersecurity. In FY 2025, BigBear.ai generated roughly $127.7 million in revenue, down approximately 19.3% year-over-year. The company reported a net loss of about $293.9 million, yielding a negative 230.2% net margin. Free cash flow was negative $46.3 million. Around 51% of total sales came from customers contributing over 10% of revenue individually. Cerebras Systems builds wafer-scale chips designed for demanding AI workloads. The company serves sectors including medical research, energy, and agentic AI through hardware sales and cloud services. BigBear.ai has 579 employees, many holding high-level security clearances, and maintains a debt-to-equity ratio of 0.0x with a current ratio of approximately 1.8x.