Full-Time
AI accelerator hardware replacing GPUs
No salary listed
Sunnyvale, CA, USA
In Person
Bachelor's
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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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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
Fertility Treatment Support
Adoption Assistance
Childcare Support
Elder Care Support
Pet Insurance
Bereavement Leave
Employee Discounts
Company Social Events
AI chipmaker Cerebras has raised its 2026 outlook, banking on growing demand for AI inference computing to compete with Nvidia. The company is scaling up chip production to support a multi-year agreement with OpenAI worth over $20 billion for AI compute infrastructure. Despite the improved forecast, Cerebras shares dropped more than 14% in after-hours trading following the results announcement. Investors remain concerned about customer concentration, after public filings revealed that Mohamed bin Zayed University of Artificial Intelligence accounted for 62% of the company's revenue last year. The chipmaker is positioning itself to capitalise on the computational demands of AI chatbot queries and other inference workloads.
Cerebras Systems shares fell 14% in after-hours trading after reporting second-quarter results that missed expectations. The AI infrastructure company posted an adjusted loss of $2.98 per share, significantly wider than the estimated loss of $0.18 per share. Revenue came in at $180.1 million, below the $193.6 million consensus and down 7% year-over-year. However, core revenue reached $209.9 million, up 103% year-over-year. Cloud revenue showed strong growth, with core cloud revenue reaching $127.7 million, up 287% year-over-year. Core gross margin improved to 41%, up approximately 940 basis points from the prior year. For the third quarter, Cerebras guided to core revenue of $214 million to $216 million. The company raised its full-year 2026 core revenue guidance to $880 million to $890 million.
Cerebras Systems is set to report second-quarter earnings after market close on 12 August. The AI chipmaker expects core revenue of approximately $194 million, marking 88% year-over-year growth but only slightly above first-quarter's $193.4 million. Analysts forecast a loss of about 17 cents per share. Growth is expected from Cerebras' cloud and inference business, particularly capacity tied to OpenAI and expansion through AWS. However, margins remain a concern. The company projects second-quarter core gross margin of 36% to 38%, down from 47% in the first quarter, partly due to temporarily using customer-owned systems before its own infrastructure launches. Cerebras faces competition from Nvidia, Advanced Micro Devices and Broadcom for AI infrastructure spending.
Cerebras shares rose about 4% on Thursday after announcing a partnership with Advanced Micro Devices for AI systems. Cerebras CEO Andrew Feldman said at AMD's San Francisco AI conference that his company's chips will be used in AMD's Helios AI systems, to be installed in Cerebras data centres later this year. The partnership focuses on "ultra-low latency" technology, with the companies claiming their system provides five times higher tokens per second per watt than competitors. Chips like Cerebras's are designed to deliver AI answers quickly whilst making trade-offs in flexibility and power. Cerebras went public in May at $185 per share. The stock has been volatile, reaching $386.34 before falling below $161 in late June. Following Thursday's gain, shares traded at $219.80.
CrowdStrike and Cerebras Systems announced a strategic partnership combining AI-native cybersecurity with high-speed AI inference. CrowdStrike will use Cerebras's inference technology to power its Falcon AI Detection and Response platform, whilst Cerebras will deploy CrowdStrike's Falcon platform to secure its operations. The collaboration addresses AI-accelerated cyber threats that require real-time detection and response. According to Cerebras CISO Naor Penso, inference speed is critical in cybersecurity, as delays can determine whether AI prevents an attack or merely explains it afterwards. CrowdStrike's Daniel Bernard emphasised the partnership's strategic importance, noting that leading AI infrastructure companies are choosing CrowdStrike for protection. The partnership extends CrowdStrike's leadership in AI Detection and Response whilst bringing Cerebras's inference capabilities to enterprise security applications.