Full-Time

Director of Mechanical Engineering

Confirmed live in the last 24 hours

Cerebras

Cerebras

201-500 employees

Develops AI acceleration hardware and software

Hardware
AI & Machine Learning

Senior, Expert

Sunnyvale, CA, USA

Category
Thermal and Fluid Systems Engineering
Mechanical Engineering
Requirements
  • Advanced degree in Mechanical Engineering, Material Science, or related disciplines.
  • Approximately 10 years of experience in delivering complex mechanical systems, with a proven track record in leading technical teams.
  • Strong understanding of advanced cooling solutions, including liquid cooling, with a solid background in thermal analysis.
  • Expertise in DfX, particularly in the design of complex mechanical assemblies and systems.
  • Experience with product development for Servers, Switches, Routers or Racks and Enclosure products for datacenter equipment.
  • Experience with advanced electro-mechanical packaging technologies is a plus.
  • Proficiency in multi-physics simulations and experimental verification methods for advanced pathfinding.
  • Exceptional project ownership and delivery skills, with a demonstrated ability to manage and deliver complex, cross-functional projects.
  • Excellent leadership, communication, and problem-solving skills, with the ability to work effectively in a fast-paced, dynamic environment.
Responsibilities
  • Lead and manage the mechanical engineering team, overseeing the development of all mechanical aspects of our products, including thermal and liquid-cooling solutions, mechanical enclosures, and complex assemblies.
  • Own and drive cross-functional projects, coordinating with multiple disciplines to ensure successful project delivery and alignment with company goals.
  • Develop and implement advanced cooling solutions, including liquid cooling, and provide expertise in thermal analysis to optimize product performance.
  • Ensure that designs meet DfX (Design for Excellence) criteria, particularly in the development of complex mechanical assemblies and systems.
  • Contribute to the advancement of electro-mechanical packaging technologies, providing technical leadership and direction.
  • Oversee the application of multi-physics simulations and experimental verification methods for advanced pathfinding, ensuring the accuracy and reliability of mechanical designs.
  • Mentor and guide the engineering team, fostering a culture of continuous improvement and technical excellence.

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) used in AI computations. The CS-2 system simplifies AI tasks by eliminating the need for complex parallel programming and cluster management, making the process more efficient. Cerebras serves a variety of clients, including major pharmaceutical companies and government research labs, providing them with faster results for critical applications like drug response predictions. The company operates in the high-performance computing and AI markets, generating revenue through the sale of its proprietary hardware and software solutions, including the CS-2 system and associated cloud services. Cerebras aims to reduce the overall cost of AI research and development while enabling clients to achieve quicker results and lower latency in AI inference.

Company Stage

N/A

Total Funding

$700.4M

Headquarters

Sunnyvale, California

Founded

2016

Growth & Insights
Headcount

6 month growth

8%

1 year growth

16%

2 year growth

-3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Cerebras' IPO and significant funding, including $720 million raised, position it for substantial growth and market penetration.
  • Collaborations with industry giants and government labs, such as GlaxoSmithKline, AstraZeneca, and Argonne National Lab, validate the effectiveness and demand for Cerebras' technology.
  • The CS-2 system's ability to produce faster results in critical applications like cancer drug response prediction models highlights its transformative potential in healthcare and scientific research.

What critics are saying

  • Competing against established giants like Nvidia poses significant market challenges and could impact Cerebras' market share.
  • The high cost and complexity of developing and maintaining cutting-edge hardware like the WSE-3 chip could strain resources and affect profitability.

What makes Cerebras unique

  • Cerebras' CS-2 system replaces traditional GPU clusters, eliminating complexities in parallel programming and distributed training.
  • The WSE-3 chip, with 40 trillion transistors, is designed to train AI models 10 times larger than current top models like GPT-4, setting a new industry standard.
  • Strategic partnerships with major entities like Dell and Aleph Alpha enhance Cerebras' reach and influence in the AI and high-performance computing markets.

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