Cerebras
AI accelerator hardware replacing GPUs
Codesign & Nextgen New Grad
+ Equity
Full-time, in-office position based in Sunnyvale, California. Relocation support is available for candidates moving to the Bay Area.
About the job
- A Master of Science or Bachelor of Science degree in Computer Engineering, Electrical Engineering, or Computer Science.
- A strong background in computer architecture.
- Exposure to CPU and GPU architecture and programming models.
- Experience working on CPU and GPU simulators.
- Exposure to performance profiling and debugging on a system pipeline.
- Experience with C++ and Python.
- Work at the interface of software and hardware on high-performance kernel design, next-generation ASIC performance modeling and tuning, system bringup and software tuning, system robustness, and simulations.
- Learn Cerebras products and platforms end to end, starting with programming the Wafer Scale Engine at the base layer through kernel development.
- Model performance for software products.
- Validate engineering work on actual hardware and through simulations.
- Exposure to and a basic understanding of machine learning.
- A strong analytical and problem-solving mindset.
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
1,001-5,000
Company Stage
IPO
Headquarters
Sunnyvale, California
Founded
2016
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Simplify's Take
What believers are saying
- Q2 2026 core revenue doubled to $209.9 million, while cloud revenue nearly quadrupled.
- Cerebras booked $25.4 billion in remaining performance obligations and 600 megawatts contracted capacity.
- Finland's 165 MW data center project and CS-4 production ramp expand delivery capacity.
What critics are saying
- Nvidia and AMD keep bundling inference into broader platforms, squeezing Cerebras pricing power.
- CoreWeave and hyperscalers control customer interfaces, limiting Cerebras' direct platform leverage.
- James v. Cerebras Systems remains active since October 2025, creating ongoing legal distraction.
What makes Cerebras unique
- Cerebras' CS-4 launched August 18, 2026, claiming 30x GPU inference speed.
- OpenAI validated Cerebras with a $20 billion, three-year inference deal in April 2026.
- AMD and AWS partnerships extend Cerebras into disaggregated inference and Bedrock.
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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
Fertility Treatment Support
Adoption Assistance
Childcare Support
Elder Care Support
Pet Insurance
Bereavement Leave
Employee Discounts
Company Social Events
Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↓ -2%2 year growth
↑ 0%Gimlet Labs and Cerebras Systems announced a collaboration to deliver ultrafast AI inference through Gimlet Cloud. The partnership combines Cerebras' wafer-scale compute with Gimlet's inference technology to achieve speeds of up to 3,000 tokens per second for real-time AI applications. Gimlet Cloud integrates the Cerebras Wafer Scale Engine with GPUs, using advanced disaggregation technology to optimise each phase of inference. The first Cerebras-powered Gimlet Cloud datacentre is expected to launch later this year. The collaboration aims to improve user experience in real-time AI applications such as voice assistants and AI agents, where reduced latency creates more responsive interactions. Gimlet Labs will serve as a launch partner for Cerebras' CS-4 technology, providing developers with production-scale access to the combined infrastructure.
Cerebras Systems and CoreWeave represent distinct approaches to AI infrastructure, offering investors different risk-reward profiles for 2026. Cerebras builds wafer-scale processors for intensive computing workloads, whilst CoreWeave provides specialised cloud services for generative AI. Cerebras reported revenue of $510 million in fiscal 2025, up 75.7% year-on-year, and achieved profitability with net income of $237.8 million. However, free cash flow was negative at $392.8 million. CoreWeave showed more explosive growth, with revenue reaching $5.1 billion, up 167.9%. The company remains unprofitable, posting a net loss of $1.2 billion. CoreWeave faces concentration risk, with Microsoft accounting for roughly 67% of revenue, though agreements with Meta Platforms suggest diversification efforts. Both companies serve the rapidly expanding AI computing market but differ significantly in scale, profitability, and business model maturity.
Cerebras Systems is expanding its artificial intelligence inference technology to compete with Nvidia and Alphabet. The company's cloud and services revenues jumped 287% year-over-year to $127.7 million in Q2 2026. Cerebras plans to double system speed annually and increase throughput twentyfold over 18 months. Its disaggregated architecture with AMD boosts throughput up to fivefold whilst reducing costs and power consumption. The company is partnering with Amazon Web Services to bring its technology to Amazon Bedrock in Q1 2027. It supports OpenAI's GPT-5.6 Sol at 10 times faster speeds than alternatives. Cerebras signed six deals exceeding $30 million each in Q2 and added customers including Cognition, Lovable, Figma, Block, AlphaSense, GSK and CrowdStrike. The company has secured over 600 megawatts of data centre capacity through end-2027.
QuantumScape develops solid-state lithium-metal batteries aimed at extending electric vehicle range and charging speed. The company partners with Volkswagen to industrialise its QSE-5 battery cell and has a multi-year development agreement with Honda. Cerebras Systems builds wafer-scale processors for AI computing. For the fiscal year ended 31 December 2025, Cerebras reported revenue of nearly $510 million, up 75.7% year-on-year. The company achieved net income of $237.8 million, marking its transition to profitability with a net margin of 46.6%. Free cash flow was negative $392.8 million. The company's debt-to-equity ratio stood at -0.5x, indicating liabilities exceed shareholder equity. Its current ratio was 2.1x. Cerebras serves customers globally through cloud and on-premises deployments of its CS-3 platform.
Cerebras Systems has announced a new AI data centre in Mikkeli, Finland, developed with Compute Nordic Finland. The facility will scale in phases to 165 MW of contracted IT capacity, with construction on the initial 50 MW phase already under way. The agreement includes seven-year contract terms for each service order. Independent analysis estimates the project represents an investment of €1.0–1.7 billion at full scale, supporting 80–250 direct permanent jobs and €0.8–2.5 million per year in property tax revenue. The facility is designed for efficiency, using closed-loop cooling systems and supporting waste-heat recovery. Capacity will scale from 50 MW to 80 MW to the full 165 MW as demand grows.