Full-Time

Physical Design Engineer

Cerebras

Cerebras

501-1,000 employees

AI accelerator hardware replacing GPUs

Compensation Overview

$230k - $280k/yr

Sunnyvale, CA, USA

In Person

Category
Hardware Engineering (1)
Required Skills
Python

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Requirements
  • At least 10 years of physical design or verification experience.
  • Strong knowledge of block-level and full-chip physical verification methodology.
  • Strong background in block physical design, synthesis, physical design verification, and IR analysis.
  • Expertise in optimizing for power, performance, and area.
  • Experience with the complete physical design flow; knowledge of the Synopsys tool suite is a plus.
  • Expertise with ICV or Calibre tools for resolving block and full-chip design rule check and layout-versus-schematic issues.
  • Expertise in IR/EM analysis and resolution.
  • Strong ability in scripting languages such as Tcl and Python, including the ability to enhance flows.
  • Demonstrated ability to work with RTL teams to optimize for physical design.
  • Demonstrated ownership, deep-dive ability, and strong fundamental understanding of physical design concepts.
  • Knowledge of 2.5D or 3D packaging solutions.
Responsibilities
  • Work as a member of the physical design team on the design and analysis of 3D integrated products.
  • Apply traditional ASIC/SoC physical design skills together with packaging, power, clock, and cooling analysis.
  • Work closely with architecture and RTL teams to conduct research and development on novel concepts for 3D integration.
Desired Qualifications
  • Experience doing full chip floor planning and integration.
  • Knowledge of clock distribution.
  • Knowledge of cooling analysis.
  • Static timing analysis would be good to have.

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 Jobs

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

Headcount

6 month growth

-2%

1 year growth

-4%

2 year growth

0%
Yahoo Finance
Aug 22nd, 2026
Cerebras core revenue up 103% to $210M as cloud quadruples but GAAP hardware sales drop 23%

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.

Yahoo Finance
Aug 21st, 2026
Cerebras unveils CS-4 AI system with 750 PFLOPS, 30x faster inference than GPUs

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.

Tech in Asia
Aug 19th, 2026
Cerebras unveils CS-4 rack with three WSE-3 Turbo chips for AI inference

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.

Yahoo Finance
Aug 19th, 2026
Cerebras unveils CS-4 AI system with OpenAI and AMD partnerships for faster inference

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.

Associated Press
Aug 19th, 2026
Cerebras launches CS-4 AI accelerator, 30x faster than GPUs with 750 PFLOPs compute

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.