Full-Time
Principal Product Manager for Hardware
Confirmed live in the last 24 hours
Cerebras
201-500 employees
Develops AI acceleration hardware and software
Senior, Expert
Sunnyvale, CA, USA
- Bachelor’s or Master’s degree in computer science, electrical engineering, physics, mathematics, a related scientific / engineering discipline, or equivalent practical experience.
- 7+ years product management experience, working with customers and engineering teams.
- Experience with hardware engineering, design and development of computer systems, chips, circuit boards.
- Machine learning domain knowledge or applied experience.
- Demonstrated ability to work effectively with highly technical engineering teams.
- Outstanding verbal and written communication skills.
- Engage with customers, ML researchers, and datacenter owners/operators to gather insights and define product requirements for our next-generation AI compute systems.
- Identify performance, power efficiency, and cost targets while exploring innovative features and enhancements to meet evolving industry needs.
- Work across product and engineering teams to translate product requirements into focused execution; help design, build, implement and deploy our solutions across multiple product generations.
- Leverage new technologies and partnerships to accelerate our development.
- Work directly with customers to help map their most ambitious projects to Cerebras solutions and enable their success.
Cerebras Systems focuses on accelerating artificial intelligence (AI) with its CS-2 system, the fastest AI accelerator on the market. This system replaces traditional GPU clusters, simplifying AI computations by eliminating the need for complex parallel programming and cluster management. Serving clients in various industries, including pharmaceuticals and government research, Cerebras enables faster AI training and lower latency in AI inference. The company's goal is to streamline and enhance AI tasks, ultimately reducing costs in AI research and development.
Company Stage
Series F
Total Funding
$720M
Headquarters
Sunnyvale, California
Founded
2016
6 month growth
↑ 4%1 year growth
↑ 11%2 year growth
↓ -10%
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.