Full-Time

Design Automation Engineer

Confirmed live in the last 24 hours

Cerebras

Cerebras

201-500 employees

Develops AI acceleration hardware and software

Data & Analytics
Enterprise Software
AI & Machine Learning

Expert

Sunnyvale, CA, USA

Category
Hardware Engineering
Computer Hardware Engineering
Required Skills
Python
AWS

You match the following Cerebras's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 10+ years of flow development and or scripting for physical design
  • Expert at generating structured placement and routing
  • Expert at characterization automation
  • Expert in scripting languages like Tcl and Python. Ability to develop PD flows, tools and augmentation scripts
  • Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.
  • Good understanding of full chip floorplanning and integration.
  • Good knowledge of server infrastructure and experience with integrating AWS and internal compute resources
  • Demonstrated ability to work with RTL teams to optimize for physical design
  • Excellent analytical, and problem-solving skills
  • Good interpersonal skills and ability & desire to work as a standout colleague are a must.
  • Extremely self-motivated and eager to solve problems
  • BS or MS in Electrical Engineering, Computer Science or similar
Responsibilities
  • Responsible for a range of tasks related to Physical Design automation
  • Working on projects involving scripted placement, routing, library cell characterization
  • Providing support for server infrastructure
Desired Qualifications
  • Knowledge of Synopsys tool suite is a plus

Cerebras Systems specializes in accelerating artificial intelligence (AI) processes with its CS-2 system, which is designed to replace traditional clusters of graphics processing units (GPUs). The CS-2 system simplifies AI computations by eliminating the need for complex parallel programming and cluster management, making the process more efficient. This system is utilized by a variety of clients, including major pharmaceutical companies and government research labs, to achieve faster results in critical applications like drug response prediction. Cerebras differentiates itself from competitors by offering the largest processor in the industry, which allows for quicker AI training and lower latency in AI inference. The company's goal is to streamline AI research and development, ultimately reducing costs and accelerating outcomes for its clients.

Company Stage

Series F

Total Funding

$700.4M

Headquarters

Sunnyvale, California

Founded

2016

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-5%

2 year growth

-9%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing AI model efficiency demand aligns with Cerebras' energy-efficient accelerators.
  • AI democratization increases need for user-friendly systems like Cerebras' CS-2.
  • Pharmaceutical industry's push for faster drug discovery boosts demand for Cerebras' technology.

What critics are saying

  • Competition from NVIDIA and Graphcore could impact Cerebras' market share.
  • Rapid AI model evolution may necessitate frequent hardware updates, increasing R&D costs.
  • Supply chain vulnerabilities could delay production of Cerebras' hardware.

What makes Cerebras unique

  • Cerebras' Wafer-Scale Engine is the largest chip ever built for AI.
  • The CS-2 system replaces traditional GPU clusters, simplifying AI computations.
  • Cerebras serves diverse industries, including pharmaceuticals and government research labs.

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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