Senior Staff ASIC Design Engineer, Tensordyne

Salary not provided
Expert level
San Francisco Bay Area

Office located in San Jose, CA

Tensordyne

Next-generation AI inference systems

Job no longer available

Tensordyne

Next-generation AI inference systems

101-200 employees

B2BArtificial IntelligenceEnterpriseCarsComputer VisionSaaS

Job no longer available

Salary not provided
Expert level
San Francisco Bay Area

Office located in San Jose, CA

101-200 employees

B2BArtificial IntelligenceEnterpriseCarsComputer VisionSaaS

Company mission

To build AI math, chips, hardware, and software from the zeroth layer up, rewriting the numbers so intelligence flows with a fraction of today's energy and cost.

Company mission

To build AI math, chips, hardware, and software from the zeroth layer up, rewriting the numbers so intelligence flows with a fraction of today's energy and cost.

Top investors

6% employee growth in 12 months

Our take

The AI industry is growing fast, but it's also running into a big problem: power. LLMs need huge amounts of energy, adn the more compute you add, the higher the costs and technical challenges. Hyperscalers, cloud providers, and AI startups all face the same question, how to scale AI efficiently without wasting power. And the search for smarter, more efficient solutions is becoming critical.

Tensordyne, formerly Recogni, began as a maker of automotive edge chips but quickly pivoted to focus on data center AI. The team realized that the future of AI would be defined by large-scale inference, where efficiency and scalability matter most. Their approach goes beyond hardware tweaks, using a logarithmic math system that slashes energy use while improving accuracy, making AI faster, cheaper, and more sustainable.

LLMs and data center AI are consuming massive amounts of power, and this is becoming a real concern. Tensordyne's efficient hardware and innovative logarithmic math can cut energy use drastically while keeping performance high, helping ensure AI can grow sustainably without overloading costs or the environment.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Funding (last 2 of 3 rounds)

Feb 2024

$102m

SERIES C

Feb 2021

$48.9m

SERIES B

Total funding: $175.9m

This company has top investors

Leadership

RK Anand

(Co-Founder & CPO)

RK comes from a Computer Engineering background and has gained extensive experience in managing and founding multiple technology enterprises.

Marc previously spent over 6 years at ZF Group in various roles, including Senior VP and GM of ADAS Business Unit. Prior to that, he spent nearly 22 years at TRW Automotive in roles including Chief Engineer and GM and Engineering DIrector of Global Passive Safety Electronics.