Full-Time
Electrical Engineer
Cerebras
501-1,000 employees
AI accelerator hardware replacing GPUs
Compensation Overview
$150k - $260k/yr
Sunnyvale, CA, USA
In Person
Bachelor's, Master's, PhD
 Electrical Engineering (1) |
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- A Bachelor of Science, Master of Science, or Ph.D. degree in Electrical Engineering, or equivalent experience.
- Five to ten years of experience as a board design engineer.
- Experience with digital circuits, power delivery, voltage regulators, and high-speed signal integrity.
- System-level understanding and familiarity with a production environment.
- Proficiency with laboratory and test scripting software, such as Python.
- Ability to work independently across multiple disciplines and manage multiple tasks.
- Good interpersonal relationship skills.
- Lead printed circuit board design through all development stages, from definition to implementation, bring-up, qualification, and production release.
- Take full responsibility for electrical specification, schematic design, component selection, and layout considerations.
- Perform extensive laboratory bring-up and debugging, including developing automated benchtop setups for board characterization.
- Collaborate with manufacturing operations and test engineering, supply chain, application-specific integrated circuit, mechanical, signal integrity, power delivery, layout, embedded, and diagnostic teams.
- Exceptional candidates with other experience levels will also be considered.
- Equivalent experience may substitute for the stated electrical engineering degree.
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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See people who can refer or advise you
Simplify's Take
What believers are saying
- Q2 2026 core revenue rose 103% to $209.9 million, driven by cloud expansion.
- Core cloud and services revenue jumped 287% to $127.7 million, signaling real usage.
- Cerebras secured over 600MW capacity through 2027 and raised 2026 core revenue guidance to $890 million.
What critics are saying
- OpenAI controls Cerebras demand; the 750MW commitment creates brutal concentration through 2028.
- Kaplan Fox and Schall opened 2026 securities investigations, inviting costly distraction and disclosure risk.
- Nvidia Blackwell Ultra and AMD Helios attack Cerebras’ inference thesis before CS-4 scales.
What makes Cerebras unique
- Cerebras’ wafer-scale WSE-3 Turbo packs memory bandwidth and latency unmatched by GPU clusters.
- CS-4 launched August 18, 2026 with 750 PFLOPs and 4,400 tokens-per-second inference.
- OpenAI’s GPT-5.6 Sol Ultrafast runs on Cerebras, proving frontier-model adoption in production.
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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
↓ -2%1 year growth
↓ -4%2 year growth
↑ 0%Cerebras Systems reported second-quarter core revenue of $209.9 million, up 103% year-on-year and exceeding guidance of approximately $194 million. However, GAAP revenue of $180.1 million fell short of the $194.23 million consensus. The quarter revealed a sharp revenue mix shift. Cloud and other services revenue roughly quadrupled to $126 million, whilst GAAP hardware revenue declined 23% to $54.1 million. Core hardware revenue rose 17% year-on-year to $82.1 million but dropped 26% sequentially from $111.6 million. Shares fell 11.9% to $231.01 following the report. The company raised its 2026 core revenue forecast to $880–890 million from $855–865 million and reported $25.4 billion in remaining performance obligations, supported by a multiyear OpenAI agreement.
Cerebras unveiled its fourth-generation CS-4 AI system, claiming inference speeds exceeding 4,400 tokens per second per user on GPT-OSS-120B — up to 30 times faster than GPU-based solutions. The CS-4 delivers 750 PFLOPS of AI compute and 7.2 Tbps of I/O, with 10 times more throughput per watt than the previous CS-3. The company reported second-quarter 2026 core cloud and services revenues of $127.7 million, up 287% year over year. Total core revenues rose 103% to $209.9 million. Cerebras disclosed $25.4 billion in remaining performance obligations and over 600 megawatts of data-centre capacity under contract for delivery by end of 2027. The company faces competition from NVIDIA, which reported $75.2 billion in first-quarter fiscal 2027 data-centre revenues, and AMD's Helios platform.
Cerebras Systems unveiled its CS-4 server rack for AI inference on 18 August in San Francisco. The Sunnyvale, California-based chipmaker said the system uses three WSE-3 Turbo chips and new networking components. CS-4 is the first product based on Cerebras' Nexus architecture, a modular design for compute, power, and input/output. The system features programmable input/output and direct wafer links to connect wafers within and across racks with lower latency. The chips are manufactured using TSMC's 5-nanometre process. The launch follows Cerebras reporting an adjusted loss of $6.9 million on sales of $180.1 million last week. The system will be available in the third quarter. Cerebras competes with Nvidia in inference hardware for workloads such as chatbot response generation.
Cerebras Systems has launched its CS-4 AI system, promising up to twice the token-generation speed of its predecessor, six times higher system-level performance, and up to 10 times more tokens per watt in certain applications. The company announced partnerships with OpenAI and AMD to enhance inference capabilities. The AMD collaboration features a split architecture where GPUs handle model prefill whilst Cerebras manages token decoding. Cerebras is expanding its data-centre capacity, with 600 megawatts of power expected online or under contract by the end of next year. The company is targeting AI-agent, design, coding, and cybersecurity applications that benefit from lower latency. CEO Andrew Feldman emphasised that inference speed has become a product-level consideration. Cerebras hardware powers OpenAI's GPT-5.6 Sol Ultrafast mode, which runs models at up to 14 times standard speed.
Cerebras Systems has launched the CS-4, its latest AI accelerator, delivering up to 30 times faster performance than GPU-based solutions. The rack-scale system incorporates three Wafer Scale Engine 3 Turbo processors and offers 750 petaflops of AI compute. The CS-4 provides up to twice the speed of its predecessor whilst delivering 10 times more throughput per watt. On GPT-OSS-120B, the system achieved over 4,400 tokens per second per user in testing. Built on the new Cerebras Nexus Platform Architecture, the CS-4 features a modular "backpack" design that reduces deployment time from days to hours. The system supports models exceeding 50 trillion parameters with wafer-to-wafer latency as low as two microseconds. First shipments begin this quarter. Cerebras Systems trades on NASDAQ under the ticker CBRS.